Alex M. Bronstein

Bronstein Group

203 Publications

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[203]
2024 | Published | Journal Article | IST-REx-ID: 18203 | OA
A. A. Rosenberg, A. Marx, and A. M. Bronstein, “A dataset of alternately located segments in protein crystal structures,” Scientific Data, vol. 11. Springer Nature, 2024.
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[202]
2024 | Published | Journal Article | IST-REx-ID: 18204 | OA
Y. Elul, E. Rozenberg, A. Boyarski, Y. Yaniv, A. Schuster, and A. M. Bronstein, “Data-driven modeling of interrelated dynamical systems,” Communications Physics, vol. 7. Springer Nature, 2024.
[Published Version] View | DOI | Download Published Version (ext.)
 
[201]
2024 | Published | Journal Article | IST-REx-ID: 18205 | OA
O. Wengrowicz, A. M. Bronstein, and O. Cohen, “Unsupervised physics-informed deep learning-based reconstruction for time-resolved imaging by multiplexed ptychography,” Optics Express, vol. 32, no. 6. Optica Publishing Group, pp. 8791–8803, 2024.
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[200]
2024 | Published | Conference Paper | IST-REx-ID: 18206
G. Rave, D. E. Fordham, A. M. Bronstein, and D. H. Silver, “Enhancing predictive accuracy in embryo implantation: The Bonna algorithm and its clinical implications,” in First International Conference on Artificial Intelligence in Healthcare, Swansea, United Kingdom, 2024, vol. 14976, pp. 160–171.
View | DOI
 
[199]
2023 | Published | Journal Article | IST-REx-ID: 18207 | OA
A. M. Bronstein and A. Marx, “Water stabilizes an alternate turn conformation in horse heart myoglobin,” Scientific Reports, vol. 13. Springer Nature, 2023.
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[198]
2023 | Published | Journal Article | IST-REx-ID: 18208 | OA
T. Weiss, E. Mayo Yanes, S. Chakraborty, L. Cosmo, A. M. Bronstein, and R. Gershoni-Poranne, “Guided diffusion for inverse molecular design,” Nature Computational Science, vol. 3, no. 10. Springer Nature, pp. 873–882, 2023.
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC
 
[197]
2023 | Published | Journal Article | IST-REx-ID: 18209 | OA
T. Weiss, A. Wahab, A. M. Bronstein, and R. Gershoni-Poranne, “Interpretable deep-learning unveils structure–property relationships in polybenzenoid hydrocarbons,” The Journal of Organic Chemistry, vol. 88, no. 14. American Chemical Society, pp. 9645–9656, 2023.
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC
 
[196]
2023 | Published | Conference Paper | IST-REx-ID: 18212
H. Ye et al., “GRACE: A scalable graph-based approach to accelerating recommendation model inference,” in Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023, vol. 11, no. 3, pp. 282–301.
View | Files available | DOI
 
[195]
2023 | Published | Journal Article | IST-REx-ID: 18213
J. Hermanns et al., “GRASP: Scalable graph alignment by spectral corresponding functions,” ACM Transactions on Knowledge Discovery from Data, vol. 17, no. 4. Association for Computing Machinery, 2023.
View | DOI
 
[194]
2023 | Published | Journal Article | IST-REx-ID: 18214 | OA
Y. Chen et al., “Demystifying graph sparsification algorithms in graph properties preservation,” Proceedings of the VLDB Endowment, vol. 17, no. 3. Association for Computing Machinery, pp. 427–440, 2023.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[193]
2023 | Published | Conference Paper | IST-REx-ID: 18215 | OA
B. Gahtan, R. Cohen, A. M. Bronstein, and G. Kedar, “Using deep reinforcement learning for mmWave real-time scheduling,” in 14th International Conference on Network of the Future, Izmir, Turkiye, 2023, pp. 71–79.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[192]
2023 | Published | Journal Article | IST-REx-ID: 18216 | OA
A. A. Rosenberg, N. Yehishalom, A. Marx, and A. M. Bronstein, “An amino-domino model described by a cross-peptide-bond Ramachandran plot defines amino acid pairs as local structural units,” Proceedings of the National Academy of Sciences, vol. 120, no. 44. National Academy of Sciences, 2023.
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[191]
2023 | Published | Conference Paper | IST-REx-ID: 18217 | OA
D. Zadok, O. Salzman, A. Wolf, and A. M. Bronstein, “Towards predicting fine finger motions from ultrasound images via kinematic representation,” in 2023 IEEE International Conference on Robotics and Automation, London, United Kingdom, 2023, vol. 27.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[190]
2023 | Published | Conference Paper | IST-REx-ID: 18218 | OA
Y. Nemcovsky, M. Jacoby, A. M. Bronstein, and C. Baskin, “Physical passive patch adversarial attacks on visual odometry systems,” in 16th Asian Conference on Computer Vision, Macao, China, 2023, vol. 13847, pp. 518–534.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[189]
2023 | Published | Journal Article | IST-REx-ID: 18219 | OA
E. Schwartz, A. M. Bronstein, and R. Giryes, “ISP Distillation,” IEEE Open Journal of Signal Processing, vol. 4. Institute of Electrical and Electronics Engineers, pp. 12–20, 2023.
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 
[188]
2022 | Published | Journal Article | IST-REx-ID: 18211
Y. Nemcovsky, E. Zheltonozhskii, C. Baskin, B. Chmiel, A. M. Bronstein, and A. Mendelson, “Adversarial robustness via noise injection in smoothed models,” Applied Intelligence, vol. 53, no. 8. Springer Nature, pp. 9483–9498, 2022.
View | DOI
 
[187]
2022 | Published | Journal Article | IST-REx-ID: 18220 | OA
L. Ackerman-Schraier, A. A. Rosenberg, A. Marx, and A. M. Bronstein, “Machine learning approaches demonstrate that protein structures carry information about their genetic coding,” Scientific Reports, vol. 12. Springer Nature, 2022.
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[186]
2022 | Published | Journal Article | IST-REx-ID: 18221 | OA
A. A. Rosenberg, A. Marx, and A. M. Bronstein, “Codon-specific Ramachandran plots show amino acid backbone conformation depends on identity of the translated codon,” Nature Communications, vol. 13. Springer Nature, 2022.
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[185]
2022 | Published | Journal Article | IST-REx-ID: 18222 | OA
D. E. Fordham et al., “Embryologist agreement when assessing blastocyst implantation probability: Is data-driven prediction the solution to embryo assessment subjectivity?,” Human Reproduction, vol. 37, no. 10. Oxford University Press, pp. 2275–2290, 2022.
[Published Version] View | DOI | Download Published Version (ext.)
 
[184]
2022 | Published | Book Chapter | IST-REx-ID: 18223
A. A. Rosenberg, A. M. Bronstein, and A. Marx, “Recording Silence – Accurate Annotation of the Genetic Sequence Is Required to Better Understand How Synonymous Coding Affects Protein Structure and Disease,” in Single Nucleotide Polymorphisms, Z. E. Sauna and C. Kimchi-Sarfaty, Eds. Cham: Springer Nature, 2022, pp. 37–47.
View | DOI
 
[183]
2022 | Published | Journal Article | IST-REx-ID: 18224 | OA
E. Schwartz, L. Karlinsky, R. Feris, R. Giryes, and A. M. Bronstein, “Baby steps towards few-shot learning with multiple semantics,” Pattern Recognition Letters, vol. 160. Elsevier, pp. 142–147, 2022.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[182]
2022 | Published | Journal Article | IST-REx-ID: 18225 | OA
G. Pai, A. M. Bronstein, R. Talmon, and R. Kimmel, “Deep isometric maps,” Image and Vision Computing, vol. 123. Elsevier, 2022.
[Published Version] View | DOI | Download Published Version (ext.)
 
[181]
2022 | Published | Journal Article | IST-REx-ID: 18226 | OA
E. Rozenberg et al., “Inverse design of spontaneous parametric downconversion for generation of high-dimensional qudits,” Optica, vol. 9, no. 6. Optica Publishing Group, pp. 602–615, 2022.
[Published Version] View | DOI | Download Published Version (ext.)
 
[180]
2022 | Published | Journal Article | IST-REx-ID: 18227
P. Kang, Z. Lin, Z. Yang, A. M. Bronstein, Q. Li, and W. Liu, “Deep fused two-step cross-modal hashing with multiple semantic supervision,” Multimedia Tools and Applications, vol. 81, no. 11. Springer Nature, pp. 15653–15670, 2022.
View | DOI
 
[179]
2022 | Published | Conference Paper | IST-REx-ID: 18229 | OA
E. Amrani, L. Karlinsky, and A. M. Bronstein, “Self-supervised classification network,” in 17th European Conference on Computer Vision, Tel Aviv, Israel, 2022, vol. 13691, pp. 116–132.
View | Files available | DOI | Download None (ext.) | arXiv
 
[178]
2022 | Published | Conference Paper | IST-REx-ID: 18230
N. Talati et al., “Mint: An accelerator for mining temporal motifs,” in 55th IEEE/ACM International Symposium on Microarchitecture, Chicago, IL, United States, 2022.
View | DOI
 
[177]
2022 | Published | Conference Paper | IST-REx-ID: 18231
E. Zheltonozhskii, C. Baskin, A. Mendelson, A. M. Bronstein, and O. Litany, “Contrast to divide: Self-supervised pre-training for learning with noisy labels,” in IEEE/CVF Winter Conference on Applications of Computer Vision, Waikoloa, HI, United States, 2022, pp. 387–397.
[Preprint] View | Files available | DOI | arXiv
 
[176]
2022 | Published | Journal Article | IST-REx-ID: 18232
P. Kang et al., “Intra-class low-rank regularization for supervised and semi-supervised cross-modal retrieval,” Applied Intelligence, vol. 52. Springer Nature, pp. 33–54, 2022.
View | DOI
 
[175]
2021 | Published | Conference Paper | IST-REx-ID: 18244 | OA
A. Livne, Z. Aviv, S. Grofit, A. M. Bronstein, and R. Kimmel, “Do we need depth in state-uf-the-art face authentication?,” in 2020 International Conference on 3D Vision (3DV), Fukuoka, Japan, 2021.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[174]
2021 | Published | Conference Paper | IST-REx-ID: 18243
J. Hermanns, A. Tsitsulin, M. Munkhoeva, A. M. Bronstein, D. Mottin, and P. Karras, “GRASP: Graph alignment through spectral signatures,” in International Joint Conference on Asia-Pacific Web and Web-Age Information Management, Guangzhou, China, 2021, vol. 12858, no. Part I, pp. 44–52.
View | DOI
 
[173]
2021 | Published | Journal Article | IST-REx-ID: 18233 | OA
Y. Nahshan et al., “Loss aware post-training quantization,” Machine Learning, vol. 110, no. 11–12. Springer Nature, pp. 3245–3262, 2021.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[172]
2021 | Published | Journal Article | IST-REx-ID: 18234
C. Baskin et al., “NICE: Noise Injection and Clamping Estimation for neural network quantization,” Mathematics, vol. 9, no. 17. MDPI, 2021.
[Published Version] View | DOI | arXiv
 
[171]
2021 | Published | Journal Article | IST-REx-ID: 18235 | OA
S. Doveh et al., “MetAdapt: Meta-learned task-adaptive architecture for few-shot classification,” Pattern Recognition Letters, vol. 149. Elsevier, pp. 130–136, 2021.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[170]
2021 | Published | Journal Article | IST-REx-ID: 18236
Y. Elul, A. A. Rosenberg, A. Schuster, A. M. Bronstein, and Y. Yaniv, “Meeting the unmet needs of clinicians from AI systems showcased for cardiology with deep-learning–based ECG analysis,” Proceedings of the National Academy of Sciences, vol. 118, no. 24. National Academy of Sciences, 2021.
[Published Version] View | DOI | PubMed | Europe PMC
 
[169]
2021 | Published | Journal Article | IST-REx-ID: 18237 | OA
C. Baskin et al., “UNIQ: Uniform Noise Injection for Non-Uniform Quantization of neural networks,” ACM Transactions on Computer Systems, vol. 37, no. 1–4. Association for Computing Machinery, pp. 1–15, 2021.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[168]
2021 | Published | Journal Article | IST-REx-ID: 18238 | OA
A. Karbachevsky et al., “Early-stage neural network hardware performance analysis,” Sustainability, vol. 13, no. 2. MDPI, 2021.
[Published Version] View | DOI | Download Published Version (ext.)
 
[167]
2021 | Published | Conference Paper | IST-REx-ID: 18239 | OA
A. Arbelle et al., “Detector-free weakly supervised grounding by separation,” in IEEE/CVF International Conference on Computer Vision, Montreal, Canada, 2021, vol. 15.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[166]
2021 | Published | Conference Paper | IST-REx-ID: 18240 | OA
O. Dahary, M. Jacoby, and A. M. Bronstein, “Digital gimbal: End-to-end deep image stabilization with learnable exposure times,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition, Nashville, TN, United States, 2021, vol. 38.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[165]
2021 | Published | Conference Paper | IST-REx-ID: 18241 | OA
T. Weiss, N. Peretz, S. Vedula, A. Feuer, and A. M. Bronstein, “Joint optimization of system design and reconstruction in MIMO radar imaging,” in 31st International Workshop on Machine Learning for Signal Processing, Gold Coast, Australia, 2021, vol. 4.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[164]
2021 | Published | Book Chapter | IST-REx-ID: 18242 | OA
T. Weiss, S. Vedula, O. Senouf, O. Michailovich, and A. M. Bronstein, “Towards learned optimal q-space sampling in diffusion MRI,” in Computational Diffusion MRI, N. Gyori, J. Hutter, V. Nath, M. Palombo, M. Pizzolato, and F. Zhang, Eds. Cham: Springer Nature, 2021, pp. 13–28.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[163]
2020 | Published | Conference Paper | IST-REx-ID: 18259 | OA
A. Alfassy et al., “Laso: Label-set operations networks for multi-label few-shot learning,” in 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, United States, 2020.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[162]
2020 | Published | Conference Paper | IST-REx-ID: 18255 | OA
E. Amrani, R. Ben-Ari, T. Hakim, and A. M. Bronstein, “Learning to detect and retrieve objects from unlabeled videos,” in 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), Seoul, Korea (South), 2020.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[161]
2020 | Published | Conference Paper | IST-REx-ID: 18258
L. Karlinsky et al., “Repmet: Representative-based metric learning for classification and few-shot object detection,” in 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, United States, 2020.
View | DOI
 
[160]
2020 | Published | Conference Paper | IST-REx-ID: 18260
O. Halimi, O. Litany, E. R. Rodola, A. M. Bronstein, and R. Kimmel, “Unsupervised learning of dense shape correspondence,” in 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, United States, 2020.
View | DOI
 
[159]
2020 | Published | Conference Paper | IST-REx-ID: 18249 | OA
T. Weiss, S. Vedula, O. Senouf, O. Michailovich, M. Zibulevsky, and A. M. Bronstein, “Joint learning of cartesian undersampling and reconstruction for accelerated MRI,” in ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2020.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[158]
2020 | Published | Conference Paper | IST-REx-ID: 18247 | OA
B. Chmiel et al., “Feature map transform coding for energy-efficient CNN inference,” in 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom, 2020.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[157]
2020 | Published | Conference Paper | IST-REx-ID: 18248
E. Amrani, R. Ben-Ari, I. Shapira, T. Hakim, and A. M. Bronstein, “Self-supervised object detection and retrieval using unlabeled videos,” in 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Seattle, WA, United States, 2020.
View | DOI
 
[156]
2020 | Published | Conference Paper | IST-REx-ID: 18251
J. Alush-Aben, L. Ackerman-Schraier, T. Weiss, S. Vedula, O. Senouf, and A. M. Bronstein, “3D FLAT: Feasible learned acquisition trajectories for accelerated MRI,” in International Workshop on Machine Learning for Medical Image Reconstruction, Lima, Peru, 2020, vol. 12450, pp. 3–16.
View | DOI
 
[155]
2020 | Published | Journal Article | IST-REx-ID: 18228 | OA
S. Sommer and A. M. Bronstein, “Horizontal flows and manifold stochastics in geometric deep learning,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 2. Institute of Electrical and Electronics Engineers, pp. 811–822, 2020.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[154]
2020 | Published | Journal Article | IST-REx-ID: 18245
A. Zabatani et al., “Intel® RealSenseTM SR300 coded light depth camera,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 42, no. 10. Institute of Electrical and Electronics Engineers, pp. 2333–2345, 2020.
View | DOI | PubMed | Europe PMC
 
[153]
2020 | Published | Journal Article | IST-REx-ID: 18246
G. Mariani, L. Cosmo, A. M. Bronstein, and E. Rodolà, “Generating adversarial surfaces via band‐limited perturbations,” Computer Graphics Forum, vol. 39, no. 5. Wiley, pp. 253–264, 2020.
View | DOI
 
[152]
2020 | Published | Journal Article | IST-REx-ID: 18250 | OA
Y. Choukroun, A. Shtern, A. M. Bronstein, and R. Kimmel, “Hamiltonian operator for spectral shape analysis,” IEEE Transactions on Visualization and Computer Graphics, vol. 26, no. 2. Institute of Electrical and Electronics Engineers, pp. 1320–1331, 2020.
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC | arXiv
 
[151]
2020 | Published | Journal Article | IST-REx-ID: 18252
K. Rotker, D. B. Bashat, and A. M. Bronstein, “Overparameterized models for vector fields,” SIAM Journal on Imaging Sciences, vol. 13, no. 3. Society for Industrial & Applied Mathematics, pp. 1386–1414, 2020.
View | DOI
 
[150]
2020 | Published | Journal Article | IST-REx-ID: 18253 | OA
M. Arbel, A. M. Bronstein, S. Sau, B. Liefshitz, and M. Kupiec, “Access to PCNA by Srs2 and Elg1 controls the choice between alternative repair pathways in Saccharomyces cerevisiae,” mBio, vol. 11, no. 3. American Society for Microbiology, 2020.
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[149]
2019 | Published | Conference Paper | IST-REx-ID: 18257 | OA
A. Rampini, I. Tallini, M. Ovsjanikov, A. M. Bronstein, and E. Rodola, “Correspondence-free region localization for partial shape similarity via Hamiltonian spectrum alignment,” in 2019 International Conference on 3D Vision (3DV), Quebec City, QC, Canada, 2019.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[148]
2019 | Published | Conference Paper | IST-REx-ID: 18256 | OA
N. Diamant, D. Zadok, C. Baskin, E. Schwartz, and A. M. Bronstein, “Beholder-Gan: Generation and beautification of facial images with conditioning on their beauty level,” in 2019 IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 2019.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[147]
2019 | Published | Conference Paper | IST-REx-ID: 18262 | OA
G. Pai, R. Talmon, A. M. Bronstein, and R. Kimmel, “DIMAL: Deep isometric manifold learning using sparse geodesic sampling,” in 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, United States, 2019.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[146]
2019 | Published | Conference Paper | IST-REx-ID: 18269
O. Senouf, S. Vedula, T. Weiss, A. M. Bronstein, O. Michailovich, and M. Zibulevsky, “Self-supervised learning of inverse problem solvers in medical imaging,” in First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, China, 2019, vol. 11795, pp. 111–119.
View | DOI
 
[145]
2019 | Published | Conference Paper | IST-REx-ID: 18268 | OA
Dyke RM, Stride C, Lai Y-K, Rosin PL, Aubry M, Boyarski A, Bronstein AM, Bronstein MM, Cremers D, Fisher M, Groueix T, Guo D, Kim VG, Kimmel R, Lähner Z, Li K, Litany O, Remez T, Rodola E, Russell BC, Sahillioglu Y, Slossberg R, Tam GKL, Vestner M, Wu Z, Yang J. 2019. Shape correspondence with isometric and non-isometric deformations. Eurographics Workshop on 3D Object Retrieval. .
[Published Version] View | DOI | Download Published Version (ext.)
 
[144]
2019 | Published | Conference Paper | IST-REx-ID: 18261 | OA
A. Tsitsulin, D. Mottin, P. Karras, A. M. Bronstein, and E. Müller, “Spectral graph complexity,” in Companion Proceedings of The 2019 World Wide Web Conference, San Francisco, CA, United States, 2019, pp. 308–309.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[143]
2019 | Published | Journal Article | IST-REx-ID: 18263 | OA
E. Rodolà, Z. Lähner, A. M. Bronstein, M. M. Bronstein, and J. Solomon, “Functional maps representation on product manifolds,” Computer Graphics Forum, vol. 38, no. 1. Wiley, pp. 678–689, 2019.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[142]
2019 | Published | Journal Article | IST-REx-ID: 18264 | OA
E. Schwartz, R. Giryes, and A. M. Bronstein, “DeepISP: Toward learning an end-to-end image processing pipeline,” IEEE Transactions on Image Processing, vol. 28, no. 2. Institute of Electrical and Electronics Engineers, pp. 912–923, 2019.
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC | arXiv
 
[141]
2018 | Published | Conference Paper | IST-REx-ID: 18273 | OA
C. Baskin, N. Liss, E. Zheltonozhskii, A. M. Bronstein, and A. Mendelson, “Streaming architecture for large-scale quantized neural networks on an FPGA-based dataflow platform,” in 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Vancouver, BC, Canada, 2018.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[140]
2018 | Published | Conference Paper | IST-REx-ID: 18276 | OA
M. Vestner et al., “Efficient deformable shape correspondence via kernel matching,” in 2017 International Conference on 3D Vision (3DV), Qingdao, China, 2018, pp. 517–526.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[139]
2018 | Published | Conference Paper | IST-REx-ID: 18402
T. Remez, O. Litany, R. Giryes, and A. M. Bronstein, “Deep class-aware image denoising,” in 2017 IEEE International Conference on Image Processing (ICIP), Beijing, China, 2018, pp. 1895–1899.
View | DOI
 
[138]
2018 | Published | Conference Paper | IST-REx-ID: 18270 | OA
O. Litany, A. M. Bronstein, M. Bronstein, and A. Makadia, “Deformable shape completion with graph convolutional autoencoders,” in 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, United States, 2018.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[137]
2018 | Published | Conference Paper | IST-REx-ID: 18272
R. Giryes, Y. C. Eldar, A. M. Bronstein, and G. Sapiro, “The learned inexact project gradient descent algorithm,” in 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, AB, Canada, 2018.
View | DOI
 
[136]
2018 | Published | Journal Article | IST-REx-ID: 18278 | OA
R. Giryes, Y. C. Eldar, A. M. Bronstein, and G. Sapiro, “Tradeoffs between convergence speed and reconstruction accuracy in inverse problems,” IEEE Transactions on Signal Processing, vol. 66, no. 7. IEEE, pp. 1676–1690, 2018.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[135]
2018 | Published | Journal Article | IST-REx-ID: 18275 | OA
A. M. Bronstein, L. Gershon, G. Grinberg, E. Alonso-Perez, and M. Kupiec, “The main role of Srs2 in DNA repair depends on its helicase activity, rather than on its interactions with PCNA or Rad51,” mBio, vol. 9, no. 4. American Society for Microbiology, 2018.
[Published Version] View | DOI | Download Published Version (ext.)
 
[134]
2018 | Published | Journal Article | IST-REx-ID: 18277 | OA
A. M. Bronstein, S. Bramson, K. Shemesh, B. Liefshitz, and M. Kupiec, “Tight regulation of Srs2 helicase activity is crucial for proper functioning of DNA Repair mechanisms,” G3: Genes, Genomes, Genetics , vol. 8, no. 5. Oxford University Press (OUP), pp. 1615–1626, 2018.
[Published Version] View | DOI | Download Published Version (ext.)
 
[133]
2018 | Published | Conference Paper | IST-REx-ID: 18284
S. Vedula et al., “High quality ultrasonic multi-line transmission through deep learning,” in First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, 2018, vol. 11074, pp. 147–155.
View | DOI
 
[132]
2018 | Published | Conference Paper | IST-REx-ID: 18285
H. Haim, S. Elmalem, R. Giryes, A. M. Bronstein, and E. Marom, “Deep learned phase mask for single image depth estimation and 3D scanning,” in Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP), Orlando, FL, United States, 2018, vol. Part F99-COSI 2018.
View | DOI
 
[131]
2018 | Published | Conference Paper | IST-REx-ID: 18282
Q. Qiu, J. Lezama, A. M. Bronstein, and G. Sapiro, “ForestHash: Semantic hashing with shallow random forests and tiny convolutional networks,” in European Conference on Computer Vision, Munich, Germany, 2018, vol. 11206, no. Part II.
View | DOI
 
[130]
2018 | Published | Conference Paper | IST-REx-ID: 18283
O. Senouf et al., “High frame-rate cardiac ultrasound imaging with deep learning,” in International Conference on Medical Image Computing and Computer Assisted Intervention, Granada, Spain, 2018, vol. 11070, no. Part 1, pp. 126–134.
View | DOI
 
[129]
2018 | Published | Book Chapter | IST-REx-ID: 18281
O. Litany, E. Rodolà, A. M. Bronstein, M. Bronstein, and D. Cremers, “Partial Single- and Multishape Dense Correspondence Using Functional Maps,” in Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 1, 1st ed., vol. 19, R. Kimmel and X.-C. Tai, Eds. Amsterdam: Elsevier, 2018, pp. 55–90.
View | DOI
 
[128]
2018 | Published | Conference Poster | IST-REx-ID: 18279 | OA
E. Rodola, Z. Lähner, A. M. Bronstein, M. M. Bronstein, and J. Solomon, Functional maps on product manifolds. The Eurographics Association, 2018.
View | DOI | Download None (ext.)
 
[127]
2018 | Published | Conference Paper | IST-REx-ID: 18274 | OA
A. Tsitsulin, D. Mottin, P. Karras, A. M. Bronstein, and E. Müller, “NetLSD: Hearing the shape of a graph,” in ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, London, United Kingdom, 2018, pp. 2347–2356.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[126]
2018 | Published | Journal Article | IST-REx-ID: 18271 | OA
T. Remez, O. Litany, R. Giryes, and A. M. Bronstein, “Class-aware fully convolutional Gaussian and Poisson denoising,” IEEE Transactions on Image Processing, vol. 27, no. 11. Institute of Electrical and Electronics Engineers, pp. 5707–5722, 2018.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[125]
2017 | Published | Conference Paper | IST-REx-ID: 18403
J. Chen et al., “RealSense = real heart rate: Illumination invariant heart rate estimation from videos,” in 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA), Oulu, Finland, 2017.
View | DOI
 
[124]
2017 | Published | Conference Paper | IST-REx-ID: 18288
T. Remez, O. Litany, R. Giryes, and A. M. Bronstein, “Deep class-aware image denoising,” in 2017 International Conference on Sampling Theory and Applications (SampTA), Tallinn, Estonia, 2017.
View | DOI
 
[123]
2017 | Published | Conference Paper | IST-REx-ID: 18287 | OA
M. Vestner, R. Litman, E. Rodola, A. M. Bronstein, and D. Cremers, “Product manifold filter: Non-rigid shape correspondence via kernel density estimation in the product space,” in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, United States, 2017, pp. 6681–6690.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[122]
2017 | Published | Journal Article | IST-REx-ID: 18366 | OA
O. Litany, T. Remez, D. Freedman, L. Shapira, A. M. Bronstein, and R. Gal, “ASIST: Automatic semantically invariant scene transformation,” Computer Vision and Image Understanding, vol. 157. Elsevier, pp. 284–299, 2017.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[121]
2017 | Published | Journal Article | IST-REx-ID: 18372 | OA
K. Shemesh et al., “A structure-function analysis of the yeast Elg1 protein reveals the importance of PCNA unloading in genome stability maintenance,” Nucleic Acids Research, vol. 45, no. 6. Oxford University Press (OUP), pp. 3189–3203, 2017.
[Published Version] View | DOI | Download Published Version (ext.)
 
[120]
2017 | Published | Journal Article | IST-REx-ID: 18427
O. Litany, E. Rodolà, A. M. Bronstein, and M. M. Bronstein, “Fully spectral partial shape matching,” Computer Graphics Forum, vol. 36, no. 2. Wiley, pp. 247–258, 2017.
View | DOI
 
[119]
2017 | Published | Conference Paper | IST-REx-ID: 18330
G. Alexandroni et al., “White matter fiber representation using continuous dictionary learning,” in 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, Quebec City, QC, Canada, 2017, vol. 10433, no. Part 1, pp. 566–574.
View | DOI
 
[118]
2017 | Published | Conference Paper | IST-REx-ID: 18329
A. Boyarski, A. M. Bronstein, and M. M. Bronstein, “Subspace least squares multidimensional scaling,” in International Conference on Scale Space and Variational Methods in Computer Vision, Kolding, Denmark, 2017, vol. 10302, pp. 681–693.
View | DOI
 
[117]
2017 | Published | Conference Paper | IST-REx-ID: 18435 | OA
M. Ovsjanikov et al., “Computing and processing correspondences with functional maps,” in ACM SIGGRAPH 2017 Courses, Los Angeles, CA, United States, 2017.
[Preprint] View | DOI | Download Preprint (ext.)
 
[116]
2016 | Published | Conference Paper | IST-REx-ID: 18388 | OA
T. Remez, O. Litany, and A. M. Bronstein, “A picture is worth a billion bits: Real-time image reconstruction from dense binary threshold pixels,” in 2016 IEEE International Conference on Computational Photography (ICCP), Evanston, IL, United States, 2016.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[115]
2016 | Published | Conference Paper | IST-REx-ID: 18374 | OA
A. M. Bronstein, Y. Choukroun, R. Kimmel, and M. Sela, “Consistent discretization and minimization of the L1 norm on manifolds,” in 2016 Fourth International Conference on 3D Vision (3DV), Stanford, CA, United States, 2016.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[114]
2016 | Published | Conference Paper | IST-REx-ID: 18375 | OA
R. Litman and A. M. Bronstein, “SpectroMeter: Amortized sublinear spectral approximation of distance on graphs,” in 2016 Fourth International Conference on 3D Vision (3DV), Stanford, CA, United States, 2016.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[113]
2016 | Published | Journal Article | IST-REx-ID: 18419 | OA
R. Giryes, G. Sapiro, and A. M. Bronstein, “Deep neural networks with random Gaussian weights: A universal classification strategy?,” IEEE Transactions on Signal Processing, vol. 64, no. 13. IEEE, pp. 3444–3457, 2016.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[112]
2016 | Published | Journal Article | IST-REx-ID: 18361 | OA
Pickup D, Sun X, Rosin PL, Martin RR, Cheng Z, Lian Z, Aono M, Hamza AB, Bronstein AM, Bronstein M, Bu S, Castellani U, Cheng S, Garro V, Giachetti A, Godil A, Isaia L, Han J, Johan H, Lai L, Li B, Li C, Li H, Litman R, Liu X, Liu Z, Lu Y, Sun L, Tam G, Tatsuma A, Ye J. 2016. Shape retrieval of non-rigid 3D human models. International Journal of Computer Vision. 120(2), 169–193.
[Published Version] View | DOI | Download Published Version (ext.)
 
[111]
2016 | Published | Journal Article | IST-REx-ID: 18426 | OA
O. Litany, E. Rodolà, A. M. Bronstein, M. M. Bronstein, and D. Cremers, “Non‐rigid puzzles,” Computer Graphics Forum, vol. 35, no. 5. Wiley, pp. 135–143, 2016.
[Preprint] View | DOI | Download Preprint (ext.)
 
[110]
2016 | Published | Journal Article | IST-REx-ID: 18430
X. Bian, H. Krim, A. M. Bronstein, and L. Dai, “Sparsity and nullity: Paradigms for analysis dictionary learning,” SIAM Journal on Imaging Sciences, vol. 9, no. 3. Society for Industrial & Applied Mathematics, pp. 1107–1126, 2016.
View | DOI
 
[109]
2016 | Published | Conference Paper | IST-REx-ID: 18434 | OA
M. Ovsjanikov et al., “Computing and processing correspondences with functional maps,” in SIGGRAPH ASIA 2016 Courses, Macau, 2016.
[Preprint] View | DOI | Download Preprint (ext.)
 
[108]
2016 | Published | Book Chapter | IST-REx-ID: 18328
J. Pokrass, A. M. Bronstein, M. M. Bronstein, P. Sprechmann, and G. Sapiro, “Sparse Models for Intrinsic Shape Correspondence,” in Perspectives in Shape Analysis, 1st ed., M. Breuß, A. Bruckstein, P. Maragos, and S. Wuhrer, Eds. Cham: Springer International Publishing, 2016, pp. 211–230.
View | DOI
 
[107]
2015 | Published | Conference Paper | IST-REx-ID: 18387
X. Bian, H. Krim, A. M. Bronstein, and L. Dai, “Sparse null space basis pursuit and analysis dictionary learning for high-dimensional data analysis,” in 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), South Brisbane, QLD, Australia, 2015.
View | DOI
 
[106]
2015 | Published | Conference Paper | IST-REx-ID: 18380
R. Litman, S. Korman, A. M. Bronstein, and S. Avidan, “Inverting RANSAC: Global model detection via inlier rate estimation,” in 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, United States, 2015.
View | DOI
 
[105]
2015 | Published | Conference Paper | IST-REx-ID: 18400
O. Menashe and A. M. Bronstein, “Real-time compressed imaging of scattering volumes,” in 2014 IEEE International Conference on Image Processing (ICIP), Paris, France, 2015.
View | DOI
 
[104]
2015 | Published | Conference Paper | IST-REx-ID: 18401
M. Draelos, Q. Qiu, A. M. Bronstein, and G. Sapiro, “Intel realsense = Real low cost gaze,” in 2015 IEEE International Conference on Image Processing (ICIP), Quebec City, QC, Canada, 2015.
View | DOI
 
[103]
2015 | Published | Journal Article | IST-REx-ID: 18416
D. Eynard, A. Kovnatsky, M. M. Bronstein, K. Glashoff, and A. M. Bronstein, “Multimodal manifold snalysis by simultaneous diagonalization of Laplacians,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 12. IEEE, pp. 2505–2517, 2015.
View | DOI | PubMed | Europe PMC
 
[102]
2015 | Published | Journal Article | IST-REx-ID: 18415 | OA
P. Sprechmann, A. M. Bronstein, and G. Sapiro, “Learning efficient sparse and low rank models,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 9. IEEE, pp. 1821–1833, 2015.
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC | arXiv
 
[101]
2015 | Published | Journal Article | IST-REx-ID: 18365 | OA
K. J. Simpson-Lavy, A. M. Bronstein, M. Kupiec, and M. Johnston, “Cross-talk between carbon cetabolism and the DNA camage response in S. cerevisiae,” Cell Reports, vol. 12, no. 11. Elsevier, pp. 1865–1875, 2015.
[Published Version] View | DOI | Download Published Version (ext.)
 
[100]
2015 | Published | Journal Article | IST-REx-ID: 18424 | OA
S. Korman, R. Litman, S. Avidan, and A. M. Bronstein, “Probably approximately symmetric: Fast rigid symmetry detection with global guarantees,” Computer Graphics Forum, vol. 34, no. 1. Wiley, pp. 2–13, 2015.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[99]
2015 | Published | Journal Article | IST-REx-ID: 18436 | OA
H. Haim, A. M. Bronstein, and E. Marom, “Computational multi-focus imaging combining sparse model with color dependent phase mask,” Optics Express, vol. 23, no. 19. Optica Publishing Group, pp. 24547–24556, 2015.
[Published Version] View | DOI | Download Published Version (ext.)
 
[98]
2015 | Published | Conference Paper | IST-REx-ID: 18439 | OA
Q. Qiu, Z. Chang, M. Draelos, J. Chen, A. M. Bronstein, and G. Sapiro, “Low-cost gaze and pulse analysis using realsense,” in Proceedings of the 5th EAI International Conference on Wireless Mobile Communication and Healthcare, London, United Kingdom, 2015.
[Published Version] View | DOI | Download Published Version (ext.)
 
[97]
2015 | Published | Journal Article | IST-REx-ID: 18425
S. Biasotti, A. Cerri, A. M. Bronstein, and M. Bronstein, “Recent trends, applications, and perspectives in 3D shape similarity assessment,” Computer Graphics Forum, vol. 35, no. 6. Wiley, pp. 87–119, 2015.
View | DOI
 
[96]
2015 | Published | Book Chapter | IST-REx-ID: 18326
A. M. Bronstein and M. M. Bronstein, “Manifold Intrinsic Similarity,” in Handbook of Mathematical Methods in Imaging, 2nd ed., O. Scherzer, Ed. New York: Springer Nature, 2015, pp. 1859–1908.
View | DOI
 
[95]
2015 | Published | Book Chapter | IST-REx-ID: 18327
P. Sprechmann, A. M. Bronstein, and G. Sapiro, “Supervised non-negative matrix factorization for audio source separation,” in Excursions in Harmonic Analysis, Volumne 4, 1st ed., Cham: Springer Nature, 2015, pp. 407–420.
View | DOI
 
[94]
2015 | Published | Journal Article | IST-REx-ID: 18371
Y. Aflalo, A. M. Bronstein, and R. Kimmel, “On convex relaxation of graph isomorphism,” Proceedings of the National Academy of Sciences, vol. 112, no. 10. National Academy of Sciences, pp. 2942–2947, 2015.
View | DOI | PubMed | Europe PMC
 
[93]
2014 | Published | Conference Paper | IST-REx-ID: 18384
P. Sprechmann, A. M. Bronstein, and G. Sapiro, “Supervised non-euclidean sparse NMF via bilevel optimization with applications to speech enhancement,” in 2014 4th Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA), Villers-les-Nancy, France, 2014.
View | DOI
 
[92]
2014 | Published | Journal Article | IST-REx-ID: 18413
R. Litman and A. M. Bronstein, “Learning spectral descriptors for deformable shape correspondence,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 1. IEEE, pp. 171–180, 2014.
View | DOI | PubMed | Europe PMC
 
[91]
2014 | Published | Journal Article | IST-REx-ID: 18414 | OA
J. Masci, M. M. Bronstein, A. M. Bronstein, and J. Schmidhuber, “Multimodal similarity-preserving hashing,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 4. IEEE, pp. 824–830, 2014.
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC | arXiv
 
[90]
2014 | Published | Journal Article | IST-REx-ID: 18423
R. Litman, A. M. Bronstein, M. Bronstein, and U. Castellani, “Supervised learning of bag‐of‐features shape descriptors using sparse coding,” Computer Graphics Forum, vol. 33, no. 5. Wiley, pp. 127–136, 2014.
View | DOI
 
[89]
2014 | Published | Journal Article | IST-REx-ID: 18353
D. Raviv, A. M. Bronstein, M. M. Bronstein, D. Waisman, N. Sochen, and R. Kimmel, “Equi-affine invariant geometry for shape analysis,” Journal of Mathematical Imaging and Vision, vol. 50. Springer Nature, pp. 144–163, 2014.
View | DOI
 
[88]
2013 | Published | Conference Paper | IST-REx-ID: 18395
R. Saabni and A. M. Bronstein, “Fast key-word searching using ‘BoostMap’ based embedding,” in 2012 International Conference on Frontiers in Handwriting Recognition, Bari, Italy, 2013.
View | DOI
 
[87]
2013 | Published | Conference Paper | IST-REx-ID: 18386
P. Sprechmann, A. M. Bronstein, J.-M. Morel, and G. Sapiro, “Audio restoration from multiple copies,” in 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, Vancouver, BC, Canada, 2013.
View | DOI
 
[86]
2013 | Published | Conference Paper | IST-REx-ID: 18385
P. Sprechmann, A. M. Bronstein, M. Bronstein, and G. Sapiro, “Learnable low rank sparse models for speech denoising,” in 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, Vancouver, BC, Canada, 2013.
View | DOI
 
[85]
2013 | Published | Journal Article | IST-REx-ID: 18437 | OA
I. Gazy et al., “A genetic screen for high copy number suppressors of the synthetic lethality between elg1Δ and srs2Δ in yeast,” G3: Genes, Genomes, Genetics, vol. 3, no. 5. Oxford University Press, pp. 917–926, 2013.
[Published Version] View | DOI | Download Published Version (ext.)
 
[84]
2013 | Published | Journal Article | IST-REx-ID: 18422 | OA
J. Pokrass, A. M. Bronstein, M. M. Bronstein, P. Sprechmann, and G. Sapiro, “Sparse modeling of intrinsic correspondences,” Computer Graphics Forum, vol. 32, no. 2pt4. Wiley, pp. 459–468, 2013.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[83]
2013 | Published | Journal Article | IST-REx-ID: 18421 | OA
A. Kovnatsky, M. M. Bronstein, A. M. Bronstein, K. Glashoff, and R. Kimmel, “Coupled quasi‐harmonic bases,” Computer Graphics Forum, vol. 32, no. 2pt4. Wiley, pp. 439–448, 2013.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[82]
2013 | Published | Journal Article | IST-REx-ID: 18441
A. M. Bronstein, J. Pokrass, and M. M. Bronstein, “Partial shape matching without point-wise correspondence,” Numerical Mathematics: Theory, Methods and Applications, vol. 6, no. 1. Global Science Press, pp. 223–244, 2013.
View | DOI
 
[81]
2013 | Published | Journal Article | IST-REx-ID: 18440
A. M. Bronstein, A. Kovnatsky, D. Raviv, M. M. Bronstein, and R. Kimmel, “Geometric and photometric data fusion in non-rigid shape analysis,” Numerical Mathematics: Theory, Methods and Applications, vol. 6, no. 1. Global Science Press, pp. 199–222, 2013.
View | DOI
 
[80]
2013 | Published | Book Chapter | IST-REx-ID: 18352
R. Litman, A. M. Bronstein, and M. M. Bronstein, “Stable Semi-local Features for Non-rigid Shapes,” in Innovations for Shape Analysis, M. Breuß, A. Bruckstein, and P. Maragos, Eds. Berlin, Heidelberg: Springer Nature, 2013, pp. 161–189.
View | DOI
 
[79]
2013 | Published | Book Chapter | IST-REx-ID: 18351
G. Rosman, M. M. Bronstein, A. M. Bronstein, A. Wolf, and R. Kimmel, “Group-Valued Regularization for Motion Segmentation of Articulated Shapes,” in Innovations for Shape Analysis, M. Breuß, A. Bruckstein, and P. Maragos, Eds. Berlin, Heidelberg: Springer Nature, 2013, pp. 263–281.
View | DOI
 
[78]
2012 | Published | Conference Paper | IST-REx-ID: 18344
A. Hooda, M. M. Bronstein, A. M. Bronstein, and R. P. Horaud, “Shape palindromes: Analysis of intrinsic symmetries in 2D articulated shapes,” in Scale Space and Variational Methods in Computer Vision, Ein-Gedi, Israel, 2012, vol. 6667, pp. 665–676.
View | DOI
 
[77]
2012 | Published | Conference Paper | IST-REx-ID: 18378
I. Kokkinos, M. M. Bronstein, R. Litman, and A. M. Bronstein, “Intrinsic shape context descriptors for deformable shapes,” in 2012 IEEE Conference on Computer Vision and Pattern Recognition, Providence, RI, United States, 2012.
View | DOI
 
[76]
2012 | Published | Conference Paper | IST-REx-ID: 18379
E. Rodola, A. M. Bronstein, A. Albarelli, F. Bergamasco, and A. Torsello, “A game-theoretic approach to deformable shape matching,” in 2012 IEEE Conference on Computer Vision and Pattern Recognition, Providence, RI, United States, 2012.
View | DOI
 
[75]
2012 | Published | Conference Paper | IST-REx-ID: 18345
Y. Aflalo, A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Deformable shape retrieval by learning diffusion kernels,” in 3rd International Conference on Scale Space and Variational Methods in Computer Vision, Ein-Gedi, Israel, 2012, vol. 6667, pp. 689–700.
View | DOI
 
[74]
2012 | Published | Conference Paper | IST-REx-ID: 18342
J. Pokrass, A. M. Bronstein, and M. M. Bronstein, “A correspondence-less approach to matching of deformable shapes,” in 3rd International Conference on Scale Space and Variational Methods in Computer Vision, Ein-Gedi, Israel, 2012, vol. 6667, pp. 592–603.
View | DOI
 
[73]
2012 | Published | Conference Paper | IST-REx-ID: 18346
G. Rosman, M. M. Bronstein, A. M. Bronstein, A. Wolf, and R. Kimmel, “Group-valued regularization framework for motion segmentation of dynamic non-rigid shapes,” in 3rd International Conference on Scale Space and Variational Methods in Computer Vision, Ein-Gedi, Israel, 2012, vol. 6667, pp. 725–736.
View | DOI
 
[72]
2012 | Published | Conference Paper | IST-REx-ID: 18341
C. Wang, M. M. Bronstein, A. M. Bronstein, and N. Paragios, “Discrete minimum distortion correspondence problems for non-rigid shape matching,” in 3rd International Conference on Scale Space and Variational Methods in Computer Vision, Ein-Gedi, Israel, 2012, vol. 6667, pp. 580–591.
View | DOI
 
[71]
2012 | Published | Conference Paper | IST-REx-ID: 18348
G. Rosman, A. M. Bronstein, M. M. Bronstein, X.-C. Tai, and R. Kimmel, “Group-valued regularization for analysis of articulated motion,” in Computer Vision, ECCV 2012 - Workshops and Demonstrations, Florence, Italy, 2012, vol. 7583, no. Part 1, pp. 52–62.
View | DOI
 
[70]
2012 | Published | Conference Paper | IST-REx-ID: 18349
A. Kovnatsky, M. M. Bronstein, and A. M. Bronstein, “Stable Spectral Mesh Filtering,” in Computer Vision, ECCV 2012 - Workshops and Demonstrations, Florence, Italy, 2012, vol. 7583, no. Part 1, pp. 83–91.
View | DOI
 
[69]
2012 | Published | Conference Paper | IST-REx-ID: 18350
D. Raviv, A. M. Bronstein, M. M. Bronstein, R. Kimmel, and N. Sochen, “Equi-affine invariant geometries of articulated objects,” in 15th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl, Germany, 2012, vol. 7474, pp. 177–190.
View | DOI
 
[68]
2012 | Published | Conference Paper | IST-REx-ID: 18343
A. Kovnatsky, M. M. Bronstein, A. M. Bronstein, and R. Kimmel, “Photometric heat kernel signatures,” in 3rd International Conference on Scale Space and Variational Methods in Computer Vision, Ein-Gedi, Israel, 2012, vol. 6667, pp. 616–627.
View | DOI
 
[67]
2012 | Published | Conference Paper | IST-REx-ID: 18347
O. Litany, A. M. Bronstein, and M. M. Bronstein, “Putting the pieces together: Regularized multi-part shape matching,” in Computer Vision, ECCV 2012 - Workshops and Demonstrations, Florence, Italy, 2012, vol. 7583, no. Part 1, pp. 1–11.
View | DOI
 
[66]
2012 | Published | Book (Editor) | IST-REx-ID: 18340
A. M. Bruckstein, B. M. ter Haar Romeny, A. Bronstein, and M. M. Bronstein, Eds., Scale Space and Variational Methods in Computer Vision, 1st ed., vol. 6667. Berlin, Heidelberg: Springer Nature, 2012.
View | DOI
 
[65]
2012 | Published | Book Chapter | IST-REx-ID: 18325
A. M. Bronstein, M. M. Bronstein, and M. Ovsjanikov, “Feature-Based Methods in 3D Shape Analysis,” in 3D Imaging, Analysis and Applications, N. Pears, Y. Liu, and P. Bunting, Eds. London: Springer Nature, 2012, pp. 185–219.
View | DOI
 
[64]
2012 | Published | Journal Article | IST-REx-ID: 18364
R. Litman, A. M. Bronstein, and M. M. Bronstein, “Stable volumetric features in deformable shapes,” Computers & Graphics, vol. 36, no. 5. Elsevier, pp. 569–576, 2012.
View | DOI
 
[63]
2012 | Published | Journal Article | IST-REx-ID: 18412
C. Strecha, A. M. Bronstein, M. M. Bronstein, and P. Fua, “LDAHash: Improved matching with smaller descriptors,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, no. 1. Institute of Electrical and Electronics Engineers, pp. 66–78, 2012.
View | DOI | PubMed | Europe PMC
 
[62]
2011 | Published | Conference Paper | IST-REx-ID: 18394
R. Saabni and A. M. Bronstein, “Fast key-word searching via embedding and active-DTW,” in 2011 International Conference on Document Analysis and Recognition, Beijing, China, 2011.
View | DOI
 
[61]
2011 | Published | Conference Paper | IST-REx-ID: 18406
F. Michel, M. Bronstein, A. M. Bronstein, and N. Paragios, “Boosted metric learning for 3D multi-modal deformable registration,” in 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Chicago, IL, United States, 2011.
View | DOI
 
[60]
2011 | Published | Conference Paper | IST-REx-ID: 18377 | OA
D. Raviv, M. M. Bronstein, A. M. Bronstein, R. Kimmel, and N. Sochen, “Affine-invariant diffusion geometry for the analysis of deformable 3D shapes,” in CVPR 2011, Colorado Springs, CO, United States, 2011.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[59]
2011 | Published | Journal Article | IST-REx-ID: 18433
A. M. Bronstein, M. M. Bronstein, L. J. Guibas, and M. Ovsjanikov, “Shape google: Geometric words and expressions for invariant shape retrieval,” ACM Transactions on Graphics, vol. 30, no. 1. Association for Computing Machinery, pp. 1–20, 2011.
View | DOI
 
[58]
2011 | Published | Journal Article | IST-REx-ID: 18362 | OA
R. Litman, A. M. Bronstein, and M. M. Bronstein, “Diffusion-geometric maximally stable component detection in deformable shapes,” Computers & Graphics, vol. 35, no. 3. Elsevier, pp. 549–560, 2011.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[57]
2011 | Published | Journal Article | IST-REx-ID: 18363 | OA
D. Raviv, A. M. Bronstein, M. M. Bronstein, R. Kimmel, and N. Sochen, “Affine-invariant geodesic geometry of deformable 3D shapes,” Computers & Graphics, vol. 35, no. 3. Elsevier, pp. 692–697, 2011.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[56]
2011 | Published | Journal Article | IST-REx-ID: 18411
M. M. Bronstein and A. M. Bronstein, “Shape recognition with spectral distances,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, no. 5. Institute of Electrical and Electronics Engineers, pp. 1065–1071, 2011.
View | DOI | PubMed | Europe PMC
 
[55]
2010 | Published | Conference Paper | IST-REx-ID: 18376
M. M. Bronstein, A. M. Bronstein, F. Michel, and N. Paragios, “Data fusion through cross-modality metric learning using similarity-sensitive hashing,” in 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Francisco, CA, USA, 2010, pp. 3594–3601.
View | DOI
 
[54]
2010 | Published | Conference Paper | IST-REx-ID: 18338
A. M. Bronstein and M. M. Bronstein, “Spatially-sensitive affine-invariant image descriptors,” in 11th European Conference on Computer Vision, Heraklion, Greece, 2010, vol. 6312, pp. 197–208.
View | DOI
 
[53]
2010 | Published | Conference Paper | IST-REx-ID: 18432
D. Raviv, M. M. Bronstein, A. M. Bronstein, and R. Kimmel, “Volumetric heat kernel signatures,” in Proceedings of the ACM workshop on 3D object retrieval, Firenze, Italy, 2010, pp. 39–44.
View | DOI
 
[52]
2010 | Published | Conference Paper | IST-REx-ID: 18339
N. J. Mitra, A. M. Bronstein, and M. Bronstein, “Intrinsic regularity detection in 3D geometry,” in 11th European Conference on Computer Vision, Heraklion, Greece, 2010, vol. 6313, pp. 398–410.
View | DOI
 
[51]
2010 | Published | Journal Article | IST-REx-ID: 18358
A. M. Bronstein, M. M. Bronstein, R. Kimmel, M. Mahmoudi, and G. Sapiro, “A Gromov-Hausdorff framework with diffusion geometry for topologically-robust non-rigid shape matching,” International Journal of Computer Vision, vol. 89, no. 2–3. Springer Nature, pp. 266–286, 2010.
View | DOI
 
[50]
2010 | Published | Journal Article | IST-REx-ID: 18359
D. Raviv, A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Full and partial symmetries of non-rigid shapes,” International Journal of Computer Vision, vol. 89. Springer Nature, pp. 18–39, 2010.
View | DOI
 
[49]
2010 | Published | Journal Article | IST-REx-ID: 18360 | OA
G. Rosman, M. M. Bronstein, A. M. Bronstein, and R. Kimmel, “Nonlinear dimensionality reduction by topologically constrained isometric embedding,” International Journal of Computer Vision, vol. 89. Springer Nature, pp. 56–68, 2010.
[Published Version] View | DOI | Download Published Version (ext.)
 
[48]
2009 | Published | Journal Article | IST-REx-ID: 18438 | OA
A. M. Bronstein, M. M. Bronstein, Y. Carmon, and R. Kimmel, “Partial similarity of shapes using a statistical significance measure,” IPSJ Transactions on Computer Vision and Applications, vol. 1. Information Processing Society of Japan, pp. 105–114, 2009.
[Published Version] View | DOI | Download Published Version (ext.)
 
[47]
2009 | Published | Journal Article | IST-REx-ID: 18356
A. M. Bronstein, M. M. Bronstein, A. M. Bruckstein, and R. Kimmel, “Partial similarity of objects, or how to compare a centaur to a horse,” International Journal of Computer Vision, vol. 84, no. 2. Springer Nature, pp. 163–183, 2009.
View | DOI
 
[46]
2009 | Published | Journal Article | IST-REx-ID: 18357
A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Topology-invariant similarity of nonrigid shapes,” International Journal of Computer Vision, vol. 81, no. 3. Springer Nature, pp. 281–301, 2009.
View | DOI
 
[45]
2009 | Published | Conference Paper | IST-REx-ID: 18391
O. Rubinstein, Y. Honen, A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “3D-color video camera,” in 12th International Conference on Computer Vision Workshops, Kyoto, Japan, 2009.
View | DOI
 
[44]
2009 | Published | Conference Paper | IST-REx-ID: 18392
M. Ovsjanikov, A. M. Bronstein, M. M. Bronstein, and L. J. Guibas, “Shape Google: A computer vision approach to isometry invariant shape retrieval,” in 12th International Conference on Computer Vision Workshops, Kyoto, Japan, 2009.
View | DOI
 
[43]
2009 | Published | Conference Paper | IST-REx-ID: 18393
Y. S. Devir, G. Rosman, A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “On reconstruction of non-rigid shapes with intrinsic regularization,” in 12th International Conference on Computer Vision Workshops, Kyoto, Japan, 2009.
View | DOI
 
[42]
2008 | Published | Journal Article | IST-REx-ID: 18431
O. Weber, Y. S. Devir, A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Parallel algorithms for approximation of distance maps on parametric surfaces,” ACM Transactions on Graphics, vol. 27, no. 4. Association for Computing Machinery, 2008.
View | DOI
 
[41]
2008 | Published | Conference Paper | IST-REx-ID: 18337
A. M. Bronstein and M. M. Bronstein, “Regularized partial matching of rigid shapes,” in 10th European Conference on Computer Vision, Marseille, France, 2008, vol. 5303, pp. 143–154.
View | DOI
 
[40]
2008 | Published | Journal Article | IST-REx-ID: 18355
A. M. Bronstein, M. M. Bronstein, A. M. Bruckstein, and R. Kimmel, “Analysis of two-dimensional non-rigid shapes,” International Journal of Computer Vision, vol. 78. Springer Nature, pp. 67–88, 2008.
View | DOI
 
[39]
2008 | Published | Conference Paper | IST-REx-ID: 18381
A. M. Bronstein and M. M. Bronstein, “Not only size matters: Regularized partial matching of nonrigid shapes,” in 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, Anchorage, AK, United States, 2008.
View | DOI
 
[38]
2007 | Published | Journal Article | IST-REx-ID: 18420
A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Calculus of nonrigid surfaces for geometry and texture manipulation,” IEEE Transactions on Visualization and Computer Graphics, vol. 13, no. 5. IEEE, pp. 902–913, 2007.
View | DOI
 
[37]
2007 | Published | Conference Paper | IST-REx-ID: 18336
A. M. Bronstein, M. M. Bronstein, A. M. Bruckstein, and R. Kimmel, “Paretian similarity for partial comparison of non-rigid objects,” in First International Conference on Scale Space and Variational Methods in Computer Vision, Ischia, Italy, 2007, vol. 4485, pp. 264–275.
View | DOI
 
[36]
2007 | Published | Journal Article | IST-REx-ID: 18367
A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Weighted distance maps computation on parametric three-dimensional manifolds,” Journal of Computational Physics, vol. 225, no. 1. Elsevier, pp. 771–784, 2007.
View | DOI
 
[35]
2007 | Published | Conference Paper | IST-REx-ID: 18389
A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Rock, paper, and scissors: Extrinsic vs. intrinsic similarity of non-rigid shapes,” in 11th International Conference on Computer Vision, Rio de Janeiro, Brazil, 2007.
View | DOI
 
[34]
2007 | Published | Conference Paper | IST-REx-ID: 18390
D. Raviv, A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Symmetries of non-rigid shapes,” in 11th International Conference on Computer Vision, Rio de Janeiro, Brazil, 2007, vol. 72.
View | DOI
 
[33]
2006 | Published | Journal Article | IST-REx-ID: 18429
A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Efficient computation of isometry-invariant distances between surfaces,” SIAM Journal on Scientific Computing, vol. 28, no. 5. Society for Industrial & Applied Mathematics, pp. 1812–1836, 2006.
View | DOI
 
[32]
2006 | Published | Journal Article | IST-REx-ID: 18318
M. M. Bronstein, A. M. Bronstein, R. Kimmel, and I. Yavneh, “Multigrid multidimensional scaling,” Numerical Linear Algebra with Applications, vol. 13, no. 2–3. Wiley, pp. 149–171, 2006.
View | DOI
 
[31]
2006 | Published | Conference Paper | IST-REx-ID: 18320
A. M. Bronstein, M. M. Bronstein, and M. Zibulevsky, “On separation of semitransparent dynamic images from static background,” in 6th International Conference on Independent Component Analysis and Signal Separation, Charleston, SC, United States, 2006, vol. 3889, pp. 934–940.
View | DOI
 
[30]
2006 | Published | Conference Paper | IST-REx-ID: 18321
A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Robust expression-invariant face recognition from partially missing data,” in 9th European Conference on Computer Vision, Graz, Austria, 2006, vol. 3953.
View | DOI
 
[29]
2006 | Published | Conference Paper | IST-REx-ID: 18322
A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Facetoface: An isometric model for facial animation,” in 4th International Conference on Articulated Motion and Deformable Objects, Mallorca, Spain, 2006, vol. 4069, pp. 38–47.
View | DOI
 
[28]
2006 | Published | Conference Paper | IST-REx-ID: 18323
A. M. Bronstein, M. M. Bronstein, A. M. Bruckstein, and R. Kimmel, “Matching two-dimensional articulated shapes using generalized multidimensional scaling,” in 4th International Conference on Articulated Motion and Deformable Objects, Mallorca, Spain, 2006, vol. 4069, pp. 48–57.
View | DOI
 
[27]
2006 | Published | Journal Article | IST-REx-ID: 18370
A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Generalized multidimensional scaling: A framework for isometry-invariant partial surface matching,” PNAS, vol. 103, no. 5. National Academy of Sciences, pp. 1168–1172, 2006.
View | DOI | PubMed | Europe PMC
 
[26]
2006 | Published | Journal Article | IST-REx-ID: 18408
A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Expression-invariant representations of faces,” IEEE Transactions on Image Processing, vol. 16, no. 1. Institute of Electrical and Electronics Engineers, pp. 188–197, 2006.
View | DOI | PubMed | Europe PMC
 
[25]
2005 | Published | Journal Article | IST-REx-ID: 18417
A. M. Bronstein, M. M. Bronstein, and M. Zibulevsky, “Relative optimization for blind deconvolution,” IEEE Transactions on Signal Processing, vol. 53, no. 6. Institute of Electrical and Electronics Engineers (IEEE), pp. 2018–2026, 2005.
View | DOI
 
[24]
2005 | Published | Journal Article | IST-REx-ID: 18418
A. M. Bronstein, M. M. Bronstein, and M. Zibulevsky, “Quasi maximum likelihood MIMO blind deconvolution: Super- and sub-Gaussianity versus consistency,” IEEE Transactions on Signal Processing, vol. 53, no. 7. Institute of Electrical and Electronics Engineers (IEEE), pp. 2576–2579, 2005.
View | DOI
 
[23]
2005 | Published | Journal Article | IST-REx-ID: 18317
A. M. Bronstein, M. M. Bronstein, M. Zibulevsky, and Y. Y. Zeevi, “Sparse ICA for blind separation of transmitted and reflected images,” International Journal of Imaging Systems and Technology, vol. 15, no. 1. Wiley, pp. 84–91, 2005.
View | DOI
 
[22]
2005 | Published | Conference Paper | IST-REx-ID: 18319
A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Isometric embedding of facial surfaces into S3,” in 5th International Conference on Scale-Space Theories in Computer Vision, Hofgeismar, Germany, 2005, vol. 3459, pp. 622–631.
View | DOI
 
[21]
2005 | Published | Journal Article | IST-REx-ID: 18354
A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Three-dimensional face recognition,” International Journal of Computer Vision, vol. 64, no. 1. Springer Nature, pp. 5–30, 2005.
View | DOI
 
[20]
2005 | Published | Conference Paper | IST-REx-ID: 18398
A. M. Bronstein, M. M. Bronstein, M. Zibulevsky, and Y. Y. Zeevi, “‘Unmixing’ tissues: Sparse component analysis in multi-contrast MRI,” in IEEE International Conference on Image Processing, Genova, Italy, 2005, vol. 2, pp. 1279–1282.
View | DOI
 
[19]
2005 | Published | Conference Paper | IST-REx-ID: 18399
A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Expression-invariant face recognition via spherical embedding,” in International Conference on Image Processing, Genova, Italy, 2005, vol. 3, pp. 756–759.
View | DOI
 
[18]
2005 | Published | Journal Article | IST-REx-ID: 18407
M. M. Bronstein, A. M. Bronstein, M. Zibulevsky, and Y. Y. Zeevi, “Blind deconvolution of images using optimal sparse representations,” IEEE Transactions on Image Processing, vol. 14, no. 6. Institute of Electrical and Electronics Engineers, pp. 726–736, 2005.
View | DOI | PubMed | Europe PMC
 
[17]
2004 | Published | Conference Paper | IST-REx-ID: 18332
A. M. Bronstein, M. M. Bronstein, and M. Zibulevsky, “Blind source separation using the block-coordinate relative Newton method,” in 5th International Conference on Independent Component Analysis and Blind Signal Separation, Granada, Spain, 2004, vol. 3195, pp. 406–413.
View | DOI
 
[16]
2004 | Published | Conference Paper | IST-REx-ID: 18334
A. M. Bronstein, M. M. Bronstein, and M. Zibulevsky, “Blind deconvolution using the relative Newton method,” in 5th International Conference on Independent Component Analysis and Blind Signal Separation, Granada, Spain, 2004, vol. 3195, pp. 554–561.
View | DOI
 
[15]
2004 | Published | Conference Paper | IST-REx-ID: 18331
A. M. Bronstein, M. M. Bronstein, A. Spira, and R. Kimmel, “Face recognition from facial surface metric,” in 8th European Conference on Computer Vision, Prageu, Czech Republic, 2004, vol. 3022, pp. 225–237.
View | DOI
 
[14]
2004 | Published | Conference Paper | IST-REx-ID: 18333
A. M. Bronstein, M. M. Bronstein, M. Zibulevsky, and Y. Y. Zeevi, “Optimal sparse representations for blind deconvolution of images,” in 5th International Conference on Independent Component Analysis and Blind Signal Separation, Granada, Spain, 2004, vol. 3195, pp. 500–507.
View | DOI
 
[13]
2004 | Published | Conference Paper | IST-REx-ID: 18335
A. M. Bronstein, M. M. Bronstein, M. Zibulevsky, and Y. Y. Zeevi, “QML blind deconvolution: Asymptotic analysis,” in Proceedings of the 5th International Conference on Independent Component Analysis and Blind Signal Separation, Granada, Spain, 2004, vol. 3195, pp. 677–684.
View | DOI
 
[12]
2004 | Published | Journal Article | IST-REx-ID: 18368
A. M. Bronstein, M. M. Bronstein, and M. Zibulevsky, “Blind source separation using block-coordinate relative Newton method,” Signal Processing, vol. 84, no. 8. Elsevier, pp. 1447–1459, 2004.
View | DOI
 
[11]
2004 | Published | Conference Paper | IST-REx-ID: 18396
A. M. Bronstein, M. M. Bronstein, E. Gordon, and R. Kimmel, “Fusion of 2D and 3D data in three-dimensional face recognition,” in 2004 International Conference on Image Processing, Singapore, Singapore, 2004.
View | DOI
 
[10]
2003 | Published | Conference Paper | IST-REx-ID: 18428
A. M. Bronstein, M. M. Bronstein, M. Zibulevsky, and Y. Y. Zeevi, “Separation of reflections via sparse ICA,” in SPIE Proceedings, San Diego, CA, United States, 2003, vol. 5207, no. 1, pp. 292–296.
View | DOI
 
[9]
2003 | Published | Conference Paper | IST-REx-ID: 18324
A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Expression-invariant 3D face recognition,” in 4th International Conference on Audio- and Video-Based Biometric Person Authentication, Guildford, United Kingdom, 2003, vol. 2688, pp. 62–70.
View | DOI
 
[8]
2003 | Published | Journal Article | IST-REx-ID: 18410
A. M. Bronstein, M. M. Bronstein, M. Zibulevsky, and Y. Y. Zeevi, “Optimal nonlinear line-of-flight estimation in positron emission tomography,” IEEE Transactions on Nuclear Science, vol. 50, no. 3. Institute of Electrical and Electronics Engineers, pp. 421–426, 2003.
View | DOI
 
[7]
2002 | Published | Journal Article | IST-REx-ID: 18369
M. M. Bronstein and A. M. Bronstein, “Biometrics was no match for hair-raising tricks,” Nature, vol. 420, no. 6917. Springer Nature, pp. 739–739, 2002.
View | DOI | PubMed | Europe PMC
 
[6]
2002 | Published | Conference Paper | IST-REx-ID: 18382
A. M. Bronstein, M. M. Bronstein, M. Zibulevsky, and Y. Y. Zeevi, “Optimal non-linear line-of-flight estimation in positron emission tomography,” in The 22nd Convention on Electrical and Electronics Engineers in Israel, Tel-Aviv, Israel, 2002, vol. 2002–January, pp. 341–344.
View | DOI
 
[5]
2002 | Published | Conference Paper | IST-REx-ID: 18383
M. M. Bronstein, A. M. Bronstein, M. Zibulevsky, and H. Azhari, “Application of the NUFFT for reconstruction problems in diffraction tomography,” in The 22nd Convention on Electrical and Electronics Engineers in Israel, Tel-Aviv, Israel, 2002, vol. 2002–January, pp. 345–347.
View | DOI
 
[4]
2002 | Published | Conference Paper | IST-REx-ID: 18404
A. M. Bronstein, M. Bronstein, M. Zibulevsky, and Y. Y. Zeevi, “Optimal nonlinear estimation of photon coordinates in PET,” in Proceedings IEEE International Symposium on Biomedical Imaging, Washington, DC, United States, 2002, vol. 2002–January, pp. 541–544.
View | DOI
 
[3]
2002 | Published | Conference Paper | IST-REx-ID: 18405
M. Bronstein, A. M. Bronstein, and M. Zibulevsky, “Iterative reconstruction in diffraction tomography using nonuniform fast Fourier transform,” in Proceedings IEEE International Symposium on Biomedical Imaging, Washington, DC, United States, 2002, vol. 2002–January, pp. 633–636.
View | DOI
 
[2]
2002 | Published | Journal Article | IST-REx-ID: 18409
M. M. Bronstein, A. M. Bronstein, M. Zibulevsky, and H. Azhari, “Reconstruction in diffraction ultrasound tomography using nonuniform FFT,” IEEE Transactions on Medical Imaging, vol. 21, no. 11. Institute of Electrical and Electronics Engineers, pp. 1395–1401, 2002.
View | DOI | PubMed | Europe PMC
 
[1]
2001 | Published | Conference Paper | IST-REx-ID: 18397
M. M. Bronstein, A. M. Bronstein, M. Zibulevsky, and Y. Y. Zeevi, “Optimal sparse representations for blind source separation and blind deconvolution: A learning approach,” in 2004 International Conference on Image Processing, Singapore, Singapore, 2001.
View | DOI
 
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[203]
2024 | Published | Journal Article | IST-REx-ID: 18203 | OA
A. A. Rosenberg, A. Marx, and A. M. Bronstein, “A dataset of alternately located segments in protein crystal structures,” Scientific Data, vol. 11. Springer Nature, 2024.
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[202]
2024 | Published | Journal Article | IST-REx-ID: 18204 | OA
Y. Elul, E. Rozenberg, A. Boyarski, Y. Yaniv, A. Schuster, and A. M. Bronstein, “Data-driven modeling of interrelated dynamical systems,” Communications Physics, vol. 7. Springer Nature, 2024.
[Published Version] View | DOI | Download Published Version (ext.)
 
[201]
2024 | Published | Journal Article | IST-REx-ID: 18205 | OA
O. Wengrowicz, A. M. Bronstein, and O. Cohen, “Unsupervised physics-informed deep learning-based reconstruction for time-resolved imaging by multiplexed ptychography,” Optics Express, vol. 32, no. 6. Optica Publishing Group, pp. 8791–8803, 2024.
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[200]
2024 | Published | Conference Paper | IST-REx-ID: 18206
G. Rave, D. E. Fordham, A. M. Bronstein, and D. H. Silver, “Enhancing predictive accuracy in embryo implantation: The Bonna algorithm and its clinical implications,” in First International Conference on Artificial Intelligence in Healthcare, Swansea, United Kingdom, 2024, vol. 14976, pp. 160–171.
View | DOI
 
[199]
2023 | Published | Journal Article | IST-REx-ID: 18207 | OA
A. M. Bronstein and A. Marx, “Water stabilizes an alternate turn conformation in horse heart myoglobin,” Scientific Reports, vol. 13. Springer Nature, 2023.
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[198]
2023 | Published | Journal Article | IST-REx-ID: 18208 | OA
T. Weiss, E. Mayo Yanes, S. Chakraborty, L. Cosmo, A. M. Bronstein, and R. Gershoni-Poranne, “Guided diffusion for inverse molecular design,” Nature Computational Science, vol. 3, no. 10. Springer Nature, pp. 873–882, 2023.
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC
 
[197]
2023 | Published | Journal Article | IST-REx-ID: 18209 | OA
T. Weiss, A. Wahab, A. M. Bronstein, and R. Gershoni-Poranne, “Interpretable deep-learning unveils structure–property relationships in polybenzenoid hydrocarbons,” The Journal of Organic Chemistry, vol. 88, no. 14. American Chemical Society, pp. 9645–9656, 2023.
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC
 
[196]
2023 | Published | Conference Paper | IST-REx-ID: 18212
H. Ye et al., “GRACE: A scalable graph-based approach to accelerating recommendation model inference,” in Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023, vol. 11, no. 3, pp. 282–301.
View | Files available | DOI
 
[195]
2023 | Published | Journal Article | IST-REx-ID: 18213
J. Hermanns et al., “GRASP: Scalable graph alignment by spectral corresponding functions,” ACM Transactions on Knowledge Discovery from Data, vol. 17, no. 4. Association for Computing Machinery, 2023.
View | DOI
 
[194]
2023 | Published | Journal Article | IST-REx-ID: 18214 | OA
Y. Chen et al., “Demystifying graph sparsification algorithms in graph properties preservation,” Proceedings of the VLDB Endowment, vol. 17, no. 3. Association for Computing Machinery, pp. 427–440, 2023.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[193]
2023 | Published | Conference Paper | IST-REx-ID: 18215 | OA
B. Gahtan, R. Cohen, A. M. Bronstein, and G. Kedar, “Using deep reinforcement learning for mmWave real-time scheduling,” in 14th International Conference on Network of the Future, Izmir, Turkiye, 2023, pp. 71–79.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[192]
2023 | Published | Journal Article | IST-REx-ID: 18216 | OA
A. A. Rosenberg, N. Yehishalom, A. Marx, and A. M. Bronstein, “An amino-domino model described by a cross-peptide-bond Ramachandran plot defines amino acid pairs as local structural units,” Proceedings of the National Academy of Sciences, vol. 120, no. 44. National Academy of Sciences, 2023.
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[191]
2023 | Published | Conference Paper | IST-REx-ID: 18217 | OA
D. Zadok, O. Salzman, A. Wolf, and A. M. Bronstein, “Towards predicting fine finger motions from ultrasound images via kinematic representation,” in 2023 IEEE International Conference on Robotics and Automation, London, United Kingdom, 2023, vol. 27.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[190]
2023 | Published | Conference Paper | IST-REx-ID: 18218 | OA
Y. Nemcovsky, M. Jacoby, A. M. Bronstein, and C. Baskin, “Physical passive patch adversarial attacks on visual odometry systems,” in 16th Asian Conference on Computer Vision, Macao, China, 2023, vol. 13847, pp. 518–534.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[189]
2023 | Published | Journal Article | IST-REx-ID: 18219 | OA
E. Schwartz, A. M. Bronstein, and R. Giryes, “ISP Distillation,” IEEE Open Journal of Signal Processing, vol. 4. Institute of Electrical and Electronics Engineers, pp. 12–20, 2023.
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 
[188]
2022 | Published | Journal Article | IST-REx-ID: 18211
Y. Nemcovsky, E. Zheltonozhskii, C. Baskin, B. Chmiel, A. M. Bronstein, and A. Mendelson, “Adversarial robustness via noise injection in smoothed models,” Applied Intelligence, vol. 53, no. 8. Springer Nature, pp. 9483–9498, 2022.
View | DOI
 
[187]
2022 | Published | Journal Article | IST-REx-ID: 18220 | OA
L. Ackerman-Schraier, A. A. Rosenberg, A. Marx, and A. M. Bronstein, “Machine learning approaches demonstrate that protein structures carry information about their genetic coding,” Scientific Reports, vol. 12. Springer Nature, 2022.
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[186]
2022 | Published | Journal Article | IST-REx-ID: 18221 | OA
A. A. Rosenberg, A. Marx, and A. M. Bronstein, “Codon-specific Ramachandran plots show amino acid backbone conformation depends on identity of the translated codon,” Nature Communications, vol. 13. Springer Nature, 2022.
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[185]
2022 | Published | Journal Article | IST-REx-ID: 18222 | OA
D. E. Fordham et al., “Embryologist agreement when assessing blastocyst implantation probability: Is data-driven prediction the solution to embryo assessment subjectivity?,” Human Reproduction, vol. 37, no. 10. Oxford University Press, pp. 2275–2290, 2022.
[Published Version] View | DOI | Download Published Version (ext.)
 
[184]
2022 | Published | Book Chapter | IST-REx-ID: 18223
A. A. Rosenberg, A. M. Bronstein, and A. Marx, “Recording Silence – Accurate Annotation of the Genetic Sequence Is Required to Better Understand How Synonymous Coding Affects Protein Structure and Disease,” in Single Nucleotide Polymorphisms, Z. E. Sauna and C. Kimchi-Sarfaty, Eds. Cham: Springer Nature, 2022, pp. 37–47.
View | DOI
 
[183]
2022 | Published | Journal Article | IST-REx-ID: 18224 | OA
E. Schwartz, L. Karlinsky, R. Feris, R. Giryes, and A. M. Bronstein, “Baby steps towards few-shot learning with multiple semantics,” Pattern Recognition Letters, vol. 160. Elsevier, pp. 142–147, 2022.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[182]
2022 | Published | Journal Article | IST-REx-ID: 18225 | OA
G. Pai, A. M. Bronstein, R. Talmon, and R. Kimmel, “Deep isometric maps,” Image and Vision Computing, vol. 123. Elsevier, 2022.
[Published Version] View | DOI | Download Published Version (ext.)
 
[181]
2022 | Published | Journal Article | IST-REx-ID: 18226 | OA
E. Rozenberg et al., “Inverse design of spontaneous parametric downconversion for generation of high-dimensional qudits,” Optica, vol. 9, no. 6. Optica Publishing Group, pp. 602–615, 2022.
[Published Version] View | DOI | Download Published Version (ext.)
 
[180]
2022 | Published | Journal Article | IST-REx-ID: 18227
P. Kang, Z. Lin, Z. Yang, A. M. Bronstein, Q. Li, and W. Liu, “Deep fused two-step cross-modal hashing with multiple semantic supervision,” Multimedia Tools and Applications, vol. 81, no. 11. Springer Nature, pp. 15653–15670, 2022.
View | DOI
 
[179]
2022 | Published | Conference Paper | IST-REx-ID: 18229 | OA
E. Amrani, L. Karlinsky, and A. M. Bronstein, “Self-supervised classification network,” in 17th European Conference on Computer Vision, Tel Aviv, Israel, 2022, vol. 13691, pp. 116–132.
View | Files available | DOI | Download None (ext.) | arXiv
 
[178]
2022 | Published | Conference Paper | IST-REx-ID: 18230
N. Talati et al., “Mint: An accelerator for mining temporal motifs,” in 55th IEEE/ACM International Symposium on Microarchitecture, Chicago, IL, United States, 2022.
View | DOI
 
[177]
2022 | Published | Conference Paper | IST-REx-ID: 18231
E. Zheltonozhskii, C. Baskin, A. Mendelson, A. M. Bronstein, and O. Litany, “Contrast to divide: Self-supervised pre-training for learning with noisy labels,” in IEEE/CVF Winter Conference on Applications of Computer Vision, Waikoloa, HI, United States, 2022, pp. 387–397.
[Preprint] View | Files available | DOI | arXiv
 
[176]
2022 | Published | Journal Article | IST-REx-ID: 18232
P. Kang et al., “Intra-class low-rank regularization for supervised and semi-supervised cross-modal retrieval,” Applied Intelligence, vol. 52. Springer Nature, pp. 33–54, 2022.
View | DOI
 
[175]
2021 | Published | Conference Paper | IST-REx-ID: 18244 | OA
A. Livne, Z. Aviv, S. Grofit, A. M. Bronstein, and R. Kimmel, “Do we need depth in state-uf-the-art face authentication?,” in 2020 International Conference on 3D Vision (3DV), Fukuoka, Japan, 2021.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[174]
2021 | Published | Conference Paper | IST-REx-ID: 18243
J. Hermanns, A. Tsitsulin, M. Munkhoeva, A. M. Bronstein, D. Mottin, and P. Karras, “GRASP: Graph alignment through spectral signatures,” in International Joint Conference on Asia-Pacific Web and Web-Age Information Management, Guangzhou, China, 2021, vol. 12858, no. Part I, pp. 44–52.
View | DOI
 
[173]
2021 | Published | Journal Article | IST-REx-ID: 18233 | OA
Y. Nahshan et al., “Loss aware post-training quantization,” Machine Learning, vol. 110, no. 11–12. Springer Nature, pp. 3245–3262, 2021.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[172]
2021 | Published | Journal Article | IST-REx-ID: 18234
C. Baskin et al., “NICE: Noise Injection and Clamping Estimation for neural network quantization,” Mathematics, vol. 9, no. 17. MDPI, 2021.
[Published Version] View | DOI | arXiv
 
[171]
2021 | Published | Journal Article | IST-REx-ID: 18235 | OA
S. Doveh et al., “MetAdapt: Meta-learned task-adaptive architecture for few-shot classification,” Pattern Recognition Letters, vol. 149. Elsevier, pp. 130–136, 2021.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[170]
2021 | Published | Journal Article | IST-REx-ID: 18236
Y. Elul, A. A. Rosenberg, A. Schuster, A. M. Bronstein, and Y. Yaniv, “Meeting the unmet needs of clinicians from AI systems showcased for cardiology with deep-learning–based ECG analysis,” Proceedings of the National Academy of Sciences, vol. 118, no. 24. National Academy of Sciences, 2021.
[Published Version] View | DOI | PubMed | Europe PMC
 
[169]
2021 | Published | Journal Article | IST-REx-ID: 18237 | OA
C. Baskin et al., “UNIQ: Uniform Noise Injection for Non-Uniform Quantization of neural networks,” ACM Transactions on Computer Systems, vol. 37, no. 1–4. Association for Computing Machinery, pp. 1–15, 2021.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[168]
2021 | Published | Journal Article | IST-REx-ID: 18238 | OA
A. Karbachevsky et al., “Early-stage neural network hardware performance analysis,” Sustainability, vol. 13, no. 2. MDPI, 2021.
[Published Version] View | DOI | Download Published Version (ext.)
 
[167]
2021 | Published | Conference Paper | IST-REx-ID: 18239 | OA
A. Arbelle et al., “Detector-free weakly supervised grounding by separation,” in IEEE/CVF International Conference on Computer Vision, Montreal, Canada, 2021, vol. 15.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[166]
2021 | Published | Conference Paper | IST-REx-ID: 18240 | OA
O. Dahary, M. Jacoby, and A. M. Bronstein, “Digital gimbal: End-to-end deep image stabilization with learnable exposure times,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition, Nashville, TN, United States, 2021, vol. 38.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[165]
2021 | Published | Conference Paper | IST-REx-ID: 18241 | OA
T. Weiss, N. Peretz, S. Vedula, A. Feuer, and A. M. Bronstein, “Joint optimization of system design and reconstruction in MIMO radar imaging,” in 31st International Workshop on Machine Learning for Signal Processing, Gold Coast, Australia, 2021, vol. 4.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[164]
2021 | Published | Book Chapter | IST-REx-ID: 18242 | OA
T. Weiss, S. Vedula, O. Senouf, O. Michailovich, and A. M. Bronstein, “Towards learned optimal q-space sampling in diffusion MRI,” in Computational Diffusion MRI, N. Gyori, J. Hutter, V. Nath, M. Palombo, M. Pizzolato, and F. Zhang, Eds. Cham: Springer Nature, 2021, pp. 13–28.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[163]
2020 | Published | Conference Paper | IST-REx-ID: 18259 | OA
A. Alfassy et al., “Laso: Label-set operations networks for multi-label few-shot learning,” in 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, United States, 2020.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[162]
2020 | Published | Conference Paper | IST-REx-ID: 18255 | OA
E. Amrani, R. Ben-Ari, T. Hakim, and A. M. Bronstein, “Learning to detect and retrieve objects from unlabeled videos,” in 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), Seoul, Korea (South), 2020.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[161]
2020 | Published | Conference Paper | IST-REx-ID: 18258
L. Karlinsky et al., “Repmet: Representative-based metric learning for classification and few-shot object detection,” in 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, United States, 2020.
View | DOI
 
[160]
2020 | Published | Conference Paper | IST-REx-ID: 18260
O. Halimi, O. Litany, E. R. Rodola, A. M. Bronstein, and R. Kimmel, “Unsupervised learning of dense shape correspondence,” in 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, United States, 2020.
View | DOI
 
[159]
2020 | Published | Conference Paper | IST-REx-ID: 18249 | OA
T. Weiss, S. Vedula, O. Senouf, O. Michailovich, M. Zibulevsky, and A. M. Bronstein, “Joint learning of cartesian undersampling and reconstruction for accelerated MRI,” in ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2020.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[158]
2020 | Published | Conference Paper | IST-REx-ID: 18247 | OA
B. Chmiel et al., “Feature map transform coding for energy-efficient CNN inference,” in 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom, 2020.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[157]
2020 | Published | Conference Paper | IST-REx-ID: 18248
E. Amrani, R. Ben-Ari, I. Shapira, T. Hakim, and A. M. Bronstein, “Self-supervised object detection and retrieval using unlabeled videos,” in 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Seattle, WA, United States, 2020.
View | DOI
 
[156]
2020 | Published | Conference Paper | IST-REx-ID: 18251
J. Alush-Aben, L. Ackerman-Schraier, T. Weiss, S. Vedula, O. Senouf, and A. M. Bronstein, “3D FLAT: Feasible learned acquisition trajectories for accelerated MRI,” in International Workshop on Machine Learning for Medical Image Reconstruction, Lima, Peru, 2020, vol. 12450, pp. 3–16.
View | DOI
 
[155]
2020 | Published | Journal Article | IST-REx-ID: 18228 | OA
S. Sommer and A. M. Bronstein, “Horizontal flows and manifold stochastics in geometric deep learning,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 2. Institute of Electrical and Electronics Engineers, pp. 811–822, 2020.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[154]
2020 | Published | Journal Article | IST-REx-ID: 18245
A. Zabatani et al., “Intel® RealSenseTM SR300 coded light depth camera,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 42, no. 10. Institute of Electrical and Electronics Engineers, pp. 2333–2345, 2020.
View | DOI | PubMed | Europe PMC
 
[153]
2020 | Published | Journal Article | IST-REx-ID: 18246
G. Mariani, L. Cosmo, A. M. Bronstein, and E. Rodolà, “Generating adversarial surfaces via band‐limited perturbations,” Computer Graphics Forum, vol. 39, no. 5. Wiley, pp. 253–264, 2020.
View | DOI
 
[152]
2020 | Published | Journal Article | IST-REx-ID: 18250 | OA
Y. Choukroun, A. Shtern, A. M. Bronstein, and R. Kimmel, “Hamiltonian operator for spectral shape analysis,” IEEE Transactions on Visualization and Computer Graphics, vol. 26, no. 2. Institute of Electrical and Electronics Engineers, pp. 1320–1331, 2020.
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC | arXiv
 
[151]
2020 | Published | Journal Article | IST-REx-ID: 18252
K. Rotker, D. B. Bashat, and A. M. Bronstein, “Overparameterized models for vector fields,” SIAM Journal on Imaging Sciences, vol. 13, no. 3. Society for Industrial & Applied Mathematics, pp. 1386–1414, 2020.
View | DOI
 
[150]
2020 | Published | Journal Article | IST-REx-ID: 18253 | OA
M. Arbel, A. M. Bronstein, S. Sau, B. Liefshitz, and M. Kupiec, “Access to PCNA by Srs2 and Elg1 controls the choice between alternative repair pathways in Saccharomyces cerevisiae,” mBio, vol. 11, no. 3. American Society for Microbiology, 2020.
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[149]
2019 | Published | Conference Paper | IST-REx-ID: 18257 | OA
A. Rampini, I. Tallini, M. Ovsjanikov, A. M. Bronstein, and E. Rodola, “Correspondence-free region localization for partial shape similarity via Hamiltonian spectrum alignment,” in 2019 International Conference on 3D Vision (3DV), Quebec City, QC, Canada, 2019.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[148]
2019 | Published | Conference Paper | IST-REx-ID: 18256 | OA
N. Diamant, D. Zadok, C. Baskin, E. Schwartz, and A. M. Bronstein, “Beholder-Gan: Generation and beautification of facial images with conditioning on their beauty level,” in 2019 IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 2019.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[147]
2019 | Published | Conference Paper | IST-REx-ID: 18262 | OA
G. Pai, R. Talmon, A. M. Bronstein, and R. Kimmel, “DIMAL: Deep isometric manifold learning using sparse geodesic sampling,” in 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, United States, 2019.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[146]
2019 | Published | Conference Paper | IST-REx-ID: 18269
O. Senouf, S. Vedula, T. Weiss, A. M. Bronstein, O. Michailovich, and M. Zibulevsky, “Self-supervised learning of inverse problem solvers in medical imaging,” in First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, China, 2019, vol. 11795, pp. 111–119.
View | DOI
 
[145]
2019 | Published | Conference Paper | IST-REx-ID: 18268 | OA
Dyke RM, Stride C, Lai Y-K, Rosin PL, Aubry M, Boyarski A, Bronstein AM, Bronstein MM, Cremers D, Fisher M, Groueix T, Guo D, Kim VG, Kimmel R, Lähner Z, Li K, Litany O, Remez T, Rodola E, Russell BC, Sahillioglu Y, Slossberg R, Tam GKL, Vestner M, Wu Z, Yang J. 2019. Shape correspondence with isometric and non-isometric deformations. Eurographics Workshop on 3D Object Retrieval. .
[Published Version] View | DOI | Download Published Version (ext.)
 
[144]
2019 | Published | Conference Paper | IST-REx-ID: 18261 | OA
A. Tsitsulin, D. Mottin, P. Karras, A. M. Bronstein, and E. Müller, “Spectral graph complexity,” in Companion Proceedings of The 2019 World Wide Web Conference, San Francisco, CA, United States, 2019, pp. 308–309.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[143]
2019 | Published | Journal Article | IST-REx-ID: 18263 | OA
E. Rodolà, Z. Lähner, A. M. Bronstein, M. M. Bronstein, and J. Solomon, “Functional maps representation on product manifolds,” Computer Graphics Forum, vol. 38, no. 1. Wiley, pp. 678–689, 2019.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[142]
2019 | Published | Journal Article | IST-REx-ID: 18264 | OA
E. Schwartz, R. Giryes, and A. M. Bronstein, “DeepISP: Toward learning an end-to-end image processing pipeline,” IEEE Transactions on Image Processing, vol. 28, no. 2. Institute of Electrical and Electronics Engineers, pp. 912–923, 2019.
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC | arXiv
 
[141]
2018 | Published | Conference Paper | IST-REx-ID: 18273 | OA
C. Baskin, N. Liss, E. Zheltonozhskii, A. M. Bronstein, and A. Mendelson, “Streaming architecture for large-scale quantized neural networks on an FPGA-based dataflow platform,” in 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Vancouver, BC, Canada, 2018.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[140]
2018 | Published | Conference Paper | IST-REx-ID: 18276 | OA
M. Vestner et al., “Efficient deformable shape correspondence via kernel matching,” in 2017 International Conference on 3D Vision (3DV), Qingdao, China, 2018, pp. 517–526.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[139]
2018 | Published | Conference Paper | IST-REx-ID: 18402
T. Remez, O. Litany, R. Giryes, and A. M. Bronstein, “Deep class-aware image denoising,” in 2017 IEEE International Conference on Image Processing (ICIP), Beijing, China, 2018, pp. 1895–1899.
View | DOI
 
[138]
2018 | Published | Conference Paper | IST-REx-ID: 18270 | OA
O. Litany, A. M. Bronstein, M. Bronstein, and A. Makadia, “Deformable shape completion with graph convolutional autoencoders,” in 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, United States, 2018.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[137]
2018 | Published | Conference Paper | IST-REx-ID: 18272
R. Giryes, Y. C. Eldar, A. M. Bronstein, and G. Sapiro, “The learned inexact project gradient descent algorithm,” in 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, AB, Canada, 2018.
View | DOI
 
[136]
2018 | Published | Journal Article | IST-REx-ID: 18278 | OA
R. Giryes, Y. C. Eldar, A. M. Bronstein, and G. Sapiro, “Tradeoffs between convergence speed and reconstruction accuracy in inverse problems,” IEEE Transactions on Signal Processing, vol. 66, no. 7. IEEE, pp. 1676–1690, 2018.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[135]
2018 | Published | Journal Article | IST-REx-ID: 18275 | OA
A. M. Bronstein, L. Gershon, G. Grinberg, E. Alonso-Perez, and M. Kupiec, “The main role of Srs2 in DNA repair depends on its helicase activity, rather than on its interactions with PCNA or Rad51,” mBio, vol. 9, no. 4. American Society for Microbiology, 2018.
[Published Version] View | DOI | Download Published Version (ext.)
 
[134]
2018 | Published | Journal Article | IST-REx-ID: 18277 | OA
A. M. Bronstein, S. Bramson, K. Shemesh, B. Liefshitz, and M. Kupiec, “Tight regulation of Srs2 helicase activity is crucial for proper functioning of DNA Repair mechanisms,” G3: Genes, Genomes, Genetics , vol. 8, no. 5. Oxford University Press (OUP), pp. 1615–1626, 2018.
[Published Version] View | DOI | Download Published Version (ext.)
 
[133]
2018 | Published | Conference Paper | IST-REx-ID: 18284
S. Vedula et al., “High quality ultrasonic multi-line transmission through deep learning,” in First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, 2018, vol. 11074, pp. 147–155.
View | DOI
 
[132]
2018 | Published | Conference Paper | IST-REx-ID: 18285
H. Haim, S. Elmalem, R. Giryes, A. M. Bronstein, and E. Marom, “Deep learned phase mask for single image depth estimation and 3D scanning,” in Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP), Orlando, FL, United States, 2018, vol. Part F99-COSI 2018.
View | DOI
 
[131]
2018 | Published | Conference Paper | IST-REx-ID: 18282
Q. Qiu, J. Lezama, A. M. Bronstein, and G. Sapiro, “ForestHash: Semantic hashing with shallow random forests and tiny convolutional networks,” in European Conference on Computer Vision, Munich, Germany, 2018, vol. 11206, no. Part II.
View | DOI
 
[130]
2018 | Published | Conference Paper | IST-REx-ID: 18283
O. Senouf et al., “High frame-rate cardiac ultrasound imaging with deep learning,” in International Conference on Medical Image Computing and Computer Assisted Intervention, Granada, Spain, 2018, vol. 11070, no. Part 1, pp. 126–134.
View | DOI
 
[129]
2018 | Published | Book Chapter | IST-REx-ID: 18281
O. Litany, E. Rodolà, A. M. Bronstein, M. Bronstein, and D. Cremers, “Partial Single- and Multishape Dense Correspondence Using Functional Maps,” in Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 1, 1st ed., vol. 19, R. Kimmel and X.-C. Tai, Eds. Amsterdam: Elsevier, 2018, pp. 55–90.
View | DOI
 
[128]
2018 | Published | Conference Poster | IST-REx-ID: 18279 | OA
E. Rodola, Z. Lähner, A. M. Bronstein, M. M. Bronstein, and J. Solomon, Functional maps on product manifolds. The Eurographics Association, 2018.
View | DOI | Download None (ext.)
 
[127]
2018 | Published | Conference Paper | IST-REx-ID: 18274 | OA
A. Tsitsulin, D. Mottin, P. Karras, A. M. Bronstein, and E. Müller, “NetLSD: Hearing the shape of a graph,” in ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, London, United Kingdom, 2018, pp. 2347–2356.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[126]
2018 | Published | Journal Article | IST-REx-ID: 18271 | OA
T. Remez, O. Litany, R. Giryes, and A. M. Bronstein, “Class-aware fully convolutional Gaussian and Poisson denoising,” IEEE Transactions on Image Processing, vol. 27, no. 11. Institute of Electrical and Electronics Engineers, pp. 5707–5722, 2018.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[125]
2017 | Published | Conference Paper | IST-REx-ID: 18403
J. Chen et al., “RealSense = real heart rate: Illumination invariant heart rate estimation from videos,” in 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA), Oulu, Finland, 2017.
View | DOI
 
[124]
2017 | Published | Conference Paper | IST-REx-ID: 18288
T. Remez, O. Litany, R. Giryes, and A. M. Bronstein, “Deep class-aware image denoising,” in 2017 International Conference on Sampling Theory and Applications (SampTA), Tallinn, Estonia, 2017.
View | DOI
 
[123]
2017 | Published | Conference Paper | IST-REx-ID: 18287 | OA
M. Vestner, R. Litman, E. Rodola, A. M. Bronstein, and D. Cremers, “Product manifold filter: Non-rigid shape correspondence via kernel density estimation in the product space,” in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, United States, 2017, pp. 6681–6690.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[122]
2017 | Published | Journal Article | IST-REx-ID: 18366 | OA
O. Litany, T. Remez, D. Freedman, L. Shapira, A. M. Bronstein, and R. Gal, “ASIST: Automatic semantically invariant scene transformation,” Computer Vision and Image Understanding, vol. 157. Elsevier, pp. 284–299, 2017.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[121]
2017 | Published | Journal Article | IST-REx-ID: 18372 | OA
K. Shemesh et al., “A structure-function analysis of the yeast Elg1 protein reveals the importance of PCNA unloading in genome stability maintenance,” Nucleic Acids Research, vol. 45, no. 6. Oxford University Press (OUP), pp. 3189–3203, 2017.
[Published Version] View | DOI | Download Published Version (ext.)
 
[120]
2017 | Published | Journal Article | IST-REx-ID: 18427
O. Litany, E. Rodolà, A. M. Bronstein, and M. M. Bronstein, “Fully spectral partial shape matching,” Computer Graphics Forum, vol. 36, no. 2. Wiley, pp. 247–258, 2017.
View | DOI
 
[119]
2017 | Published | Conference Paper | IST-REx-ID: 18330
G. Alexandroni et al., “White matter fiber representation using continuous dictionary learning,” in 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, Quebec City, QC, Canada, 2017, vol. 10433, no. Part 1, pp. 566–574.
View | DOI
 
[118]
2017 | Published | Conference Paper | IST-REx-ID: 18329
A. Boyarski, A. M. Bronstein, and M. M. Bronstein, “Subspace least squares multidimensional scaling,” in International Conference on Scale Space and Variational Methods in Computer Vision, Kolding, Denmark, 2017, vol. 10302, pp. 681–693.
View | DOI
 
[117]
2017 | Published | Conference Paper | IST-REx-ID: 18435 | OA
M. Ovsjanikov et al., “Computing and processing correspondences with functional maps,” in ACM SIGGRAPH 2017 Courses, Los Angeles, CA, United States, 2017.
[Preprint] View | DOI | Download Preprint (ext.)
 
[116]
2016 | Published | Conference Paper | IST-REx-ID: 18388 | OA
T. Remez, O. Litany, and A. M. Bronstein, “A picture is worth a billion bits: Real-time image reconstruction from dense binary threshold pixels,” in 2016 IEEE International Conference on Computational Photography (ICCP), Evanston, IL, United States, 2016.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[115]
2016 | Published | Conference Paper | IST-REx-ID: 18374 | OA
A. M. Bronstein, Y. Choukroun, R. Kimmel, and M. Sela, “Consistent discretization and minimization of the L1 norm on manifolds,” in 2016 Fourth International Conference on 3D Vision (3DV), Stanford, CA, United States, 2016.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[114]
2016 | Published | Conference Paper | IST-REx-ID: 18375 | OA
R. Litman and A. M. Bronstein, “SpectroMeter: Amortized sublinear spectral approximation of distance on graphs,” in 2016 Fourth International Conference on 3D Vision (3DV), Stanford, CA, United States, 2016.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[113]
2016 | Published | Journal Article | IST-REx-ID: 18419 | OA
R. Giryes, G. Sapiro, and A. M. Bronstein, “Deep neural networks with random Gaussian weights: A universal classification strategy?,” IEEE Transactions on Signal Processing, vol. 64, no. 13. IEEE, pp. 3444–3457, 2016.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[112]
2016 | Published | Journal Article | IST-REx-ID: 18361 | OA
Pickup D, Sun X, Rosin PL, Martin RR, Cheng Z, Lian Z, Aono M, Hamza AB, Bronstein AM, Bronstein M, Bu S, Castellani U, Cheng S, Garro V, Giachetti A, Godil A, Isaia L, Han J, Johan H, Lai L, Li B, Li C, Li H, Litman R, Liu X, Liu Z, Lu Y, Sun L, Tam G, Tatsuma A, Ye J. 2016. Shape retrieval of non-rigid 3D human models. International Journal of Computer Vision. 120(2), 169–193.
[Published Version] View | DOI | Download Published Version (ext.)
 
[111]
2016 | Published | Journal Article | IST-REx-ID: 18426 | OA
O. Litany, E. Rodolà, A. M. Bronstein, M. M. Bronstein, and D. Cremers, “Non‐rigid puzzles,” Computer Graphics Forum, vol. 35, no. 5. Wiley, pp. 135–143, 2016.
[Preprint] View | DOI | Download Preprint (ext.)
 
[110]
2016 | Published | Journal Article | IST-REx-ID: 18430
X. Bian, H. Krim, A. M. Bronstein, and L. Dai, “Sparsity and nullity: Paradigms for analysis dictionary learning,” SIAM Journal on Imaging Sciences, vol. 9, no. 3. Society for Industrial & Applied Mathematics, pp. 1107–1126, 2016.
View | DOI
 
[109]
2016 | Published | Conference Paper | IST-REx-ID: 18434 | OA
M. Ovsjanikov et al., “Computing and processing correspondences with functional maps,” in SIGGRAPH ASIA 2016 Courses, Macau, 2016.
[Preprint] View | DOI | Download Preprint (ext.)
 
[108]
2016 | Published | Book Chapter | IST-REx-ID: 18328
J. Pokrass, A. M. Bronstein, M. M. Bronstein, P. Sprechmann, and G. Sapiro, “Sparse Models for Intrinsic Shape Correspondence,” in Perspectives in Shape Analysis, 1st ed., M. Breuß, A. Bruckstein, P. Maragos, and S. Wuhrer, Eds. Cham: Springer International Publishing, 2016, pp. 211–230.
View | DOI
 
[107]
2015 | Published | Conference Paper | IST-REx-ID: 18387
X. Bian, H. Krim, A. M. Bronstein, and L. Dai, “Sparse null space basis pursuit and analysis dictionary learning for high-dimensional data analysis,” in 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), South Brisbane, QLD, Australia, 2015.
View | DOI
 
[106]
2015 | Published | Conference Paper | IST-REx-ID: 18380
R. Litman, S. Korman, A. M. Bronstein, and S. Avidan, “Inverting RANSAC: Global model detection via inlier rate estimation,” in 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, United States, 2015.
View | DOI
 
[105]
2015 | Published | Conference Paper | IST-REx-ID: 18400
O. Menashe and A. M. Bronstein, “Real-time compressed imaging of scattering volumes,” in 2014 IEEE International Conference on Image Processing (ICIP), Paris, France, 2015.
View | DOI
 
[104]
2015 | Published | Conference Paper | IST-REx-ID: 18401
M. Draelos, Q. Qiu, A. M. Bronstein, and G. Sapiro, “Intel realsense = Real low cost gaze,” in 2015 IEEE International Conference on Image Processing (ICIP), Quebec City, QC, Canada, 2015.
View | DOI
 
[103]
2015 | Published | Journal Article | IST-REx-ID: 18416
D. Eynard, A. Kovnatsky, M. M. Bronstein, K. Glashoff, and A. M. Bronstein, “Multimodal manifold snalysis by simultaneous diagonalization of Laplacians,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 12. IEEE, pp. 2505–2517, 2015.
View | DOI | PubMed | Europe PMC
 
[102]
2015 | Published | Journal Article | IST-REx-ID: 18415 | OA
P. Sprechmann, A. M. Bronstein, and G. Sapiro, “Learning efficient sparse and low rank models,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 9. IEEE, pp. 1821–1833, 2015.
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC | arXiv
 
[101]
2015 | Published | Journal Article | IST-REx-ID: 18365 | OA
K. J. Simpson-Lavy, A. M. Bronstein, M. Kupiec, and M. Johnston, “Cross-talk between carbon cetabolism and the DNA camage response in S. cerevisiae,” Cell Reports, vol. 12, no. 11. Elsevier, pp. 1865–1875, 2015.
[Published Version] View | DOI | Download Published Version (ext.)
 
[100]
2015 | Published | Journal Article | IST-REx-ID: 18424 | OA
S. Korman, R. Litman, S. Avidan, and A. M. Bronstein, “Probably approximately symmetric: Fast rigid symmetry detection with global guarantees,” Computer Graphics Forum, vol. 34, no. 1. Wiley, pp. 2–13, 2015.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[99]
2015 | Published | Journal Article | IST-REx-ID: 18436 | OA
H. Haim, A. M. Bronstein, and E. Marom, “Computational multi-focus imaging combining sparse model with color dependent phase mask,” Optics Express, vol. 23, no. 19. Optica Publishing Group, pp. 24547–24556, 2015.
[Published Version] View | DOI | Download Published Version (ext.)
 
[98]
2015 | Published | Conference Paper | IST-REx-ID: 18439 | OA
Q. Qiu, Z. Chang, M. Draelos, J. Chen, A. M. Bronstein, and G. Sapiro, “Low-cost gaze and pulse analysis using realsense,” in Proceedings of the 5th EAI International Conference on Wireless Mobile Communication and Healthcare, London, United Kingdom, 2015.
[Published Version] View | DOI | Download Published Version (ext.)
 
[97]
2015 | Published | Journal Article | IST-REx-ID: 18425
S. Biasotti, A. Cerri, A. M. Bronstein, and M. Bronstein, “Recent trends, applications, and perspectives in 3D shape similarity assessment,” Computer Graphics Forum, vol. 35, no. 6. Wiley, pp. 87–119, 2015.
View | DOI
 
[96]
2015 | Published | Book Chapter | IST-REx-ID: 18326
A. M. Bronstein and M. M. Bronstein, “Manifold Intrinsic Similarity,” in Handbook of Mathematical Methods in Imaging, 2nd ed., O. Scherzer, Ed. New York: Springer Nature, 2015, pp. 1859–1908.
View | DOI
 
[95]
2015 | Published | Book Chapter | IST-REx-ID: 18327
P. Sprechmann, A. M. Bronstein, and G. Sapiro, “Supervised non-negative matrix factorization for audio source separation,” in Excursions in Harmonic Analysis, Volumne 4, 1st ed., Cham: Springer Nature, 2015, pp. 407–420.
View | DOI
 
[94]
2015 | Published | Journal Article | IST-REx-ID: 18371
Y. Aflalo, A. M. Bronstein, and R. Kimmel, “On convex relaxation of graph isomorphism,” Proceedings of the National Academy of Sciences, vol. 112, no. 10. National Academy of Sciences, pp. 2942–2947, 2015.
View | DOI | PubMed | Europe PMC
 
[93]
2014 | Published | Conference Paper | IST-REx-ID: 18384
P. Sprechmann, A. M. Bronstein, and G. Sapiro, “Supervised non-euclidean sparse NMF via bilevel optimization with applications to speech enhancement,” in 2014 4th Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA), Villers-les-Nancy, France, 2014.
View | DOI
 
[92]
2014 | Published | Journal Article | IST-REx-ID: 18413
R. Litman and A. M. Bronstein, “Learning spectral descriptors for deformable shape correspondence,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 1. IEEE, pp. 171–180, 2014.
View | DOI | PubMed | Europe PMC
 
[91]
2014 | Published | Journal Article | IST-REx-ID: 18414 | OA
J. Masci, M. M. Bronstein, A. M. Bronstein, and J. Schmidhuber, “Multimodal similarity-preserving hashing,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 4. IEEE, pp. 824–830, 2014.
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC | arXiv
 
[90]
2014 | Published | Journal Article | IST-REx-ID: 18423
R. Litman, A. M. Bronstein, M. Bronstein, and U. Castellani, “Supervised learning of bag‐of‐features shape descriptors using sparse coding,” Computer Graphics Forum, vol. 33, no. 5. Wiley, pp. 127–136, 2014.
View | DOI
 
[89]
2014 | Published | Journal Article | IST-REx-ID: 18353
D. Raviv, A. M. Bronstein, M. M. Bronstein, D. Waisman, N. Sochen, and R. Kimmel, “Equi-affine invariant geometry for shape analysis,” Journal of Mathematical Imaging and Vision, vol. 50. Springer Nature, pp. 144–163, 2014.
View | DOI
 
[88]
2013 | Published | Conference Paper | IST-REx-ID: 18395
R. Saabni and A. M. Bronstein, “Fast key-word searching using ‘BoostMap’ based embedding,” in 2012 International Conference on Frontiers in Handwriting Recognition, Bari, Italy, 2013.
View | DOI
 
[87]
2013 | Published | Conference Paper | IST-REx-ID: 18386
P. Sprechmann, A. M. Bronstein, J.-M. Morel, and G. Sapiro, “Audio restoration from multiple copies,” in 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, Vancouver, BC, Canada, 2013.
View | DOI
 
[86]
2013 | Published | Conference Paper | IST-REx-ID: 18385
P. Sprechmann, A. M. Bronstein, M. Bronstein, and G. Sapiro, “Learnable low rank sparse models for speech denoising,” in 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, Vancouver, BC, Canada, 2013.
View | DOI
 
[85]
2013 | Published | Journal Article | IST-REx-ID: 18437 | OA
I. Gazy et al., “A genetic screen for high copy number suppressors of the synthetic lethality between elg1Δ and srs2Δ in yeast,” G3: Genes, Genomes, Genetics, vol. 3, no. 5. Oxford University Press, pp. 917–926, 2013.
[Published Version] View | DOI | Download Published Version (ext.)
 
[84]
2013 | Published | Journal Article | IST-REx-ID: 18422 | OA
J. Pokrass, A. M. Bronstein, M. M. Bronstein, P. Sprechmann, and G. Sapiro, “Sparse modeling of intrinsic correspondences,” Computer Graphics Forum, vol. 32, no. 2pt4. Wiley, pp. 459–468, 2013.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[83]
2013 | Published | Journal Article | IST-REx-ID: 18421 | OA
A. Kovnatsky, M. M. Bronstein, A. M. Bronstein, K. Glashoff, and R. Kimmel, “Coupled quasi‐harmonic bases,” Computer Graphics Forum, vol. 32, no. 2pt4. Wiley, pp. 439–448, 2013.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[82]
2013 | Published | Journal Article | IST-REx-ID: 18441
A. M. Bronstein, J. Pokrass, and M. M. Bronstein, “Partial shape matching without point-wise correspondence,” Numerical Mathematics: Theory, Methods and Applications, vol. 6, no. 1. Global Science Press, pp. 223–244, 2013.
View | DOI
 
[81]
2013 | Published | Journal Article | IST-REx-ID: 18440
A. M. Bronstein, A. Kovnatsky, D. Raviv, M. M. Bronstein, and R. Kimmel, “Geometric and photometric data fusion in non-rigid shape analysis,” Numerical Mathematics: Theory, Methods and Applications, vol. 6, no. 1. Global Science Press, pp. 199–222, 2013.
View | DOI
 
[80]
2013 | Published | Book Chapter | IST-REx-ID: 18352
R. Litman, A. M. Bronstein, and M. M. Bronstein, “Stable Semi-local Features for Non-rigid Shapes,” in Innovations for Shape Analysis, M. Breuß, A. Bruckstein, and P. Maragos, Eds. Berlin, Heidelberg: Springer Nature, 2013, pp. 161–189.
View | DOI
 
[79]
2013 | Published | Book Chapter | IST-REx-ID: 18351
G. Rosman, M. M. Bronstein, A. M. Bronstein, A. Wolf, and R. Kimmel, “Group-Valued Regularization for Motion Segmentation of Articulated Shapes,” in Innovations for Shape Analysis, M. Breuß, A. Bruckstein, and P. Maragos, Eds. Berlin, Heidelberg: Springer Nature, 2013, pp. 263–281.
View | DOI
 
[78]
2012 | Published | Conference Paper | IST-REx-ID: 18344
A. Hooda, M. M. Bronstein, A. M. Bronstein, and R. P. Horaud, “Shape palindromes: Analysis of intrinsic symmetries in 2D articulated shapes,” in Scale Space and Variational Methods in Computer Vision, Ein-Gedi, Israel, 2012, vol. 6667, pp. 665–676.
View | DOI
 
[77]
2012 | Published | Conference Paper | IST-REx-ID: 18378
I. Kokkinos, M. M. Bronstein, R. Litman, and A. M. Bronstein, “Intrinsic shape context descriptors for deformable shapes,” in 2012 IEEE Conference on Computer Vision and Pattern Recognition, Providence, RI, United States, 2012.
View | DOI
 
[76]
2012 | Published | Conference Paper | IST-REx-ID: 18379
E. Rodola, A. M. Bronstein, A. Albarelli, F. Bergamasco, and A. Torsello, “A game-theoretic approach to deformable shape matching,” in 2012 IEEE Conference on Computer Vision and Pattern Recognition, Providence, RI, United States, 2012.
View | DOI
 
[75]
2012 | Published | Conference Paper | IST-REx-ID: 18345
Y. Aflalo, A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Deformable shape retrieval by learning diffusion kernels,” in 3rd International Conference on Scale Space and Variational Methods in Computer Vision, Ein-Gedi, Israel, 2012, vol. 6667, pp. 689–700.
View | DOI
 
[74]
2012 | Published | Conference Paper | IST-REx-ID: 18342
J. Pokrass, A. M. Bronstein, and M. M. Bronstein, “A correspondence-less approach to matching of deformable shapes,” in 3rd International Conference on Scale Space and Variational Methods in Computer Vision, Ein-Gedi, Israel, 2012, vol. 6667, pp. 592–603.
View | DOI
 
[73]
2012 | Published | Conference Paper | IST-REx-ID: 18346
G. Rosman, M. M. Bronstein, A. M. Bronstein, A. Wolf, and R. Kimmel, “Group-valued regularization framework for motion segmentation of dynamic non-rigid shapes,” in 3rd International Conference on Scale Space and Variational Methods in Computer Vision, Ein-Gedi, Israel, 2012, vol. 6667, pp. 725–736.
View | DOI
 
[72]
2012 | Published | Conference Paper | IST-REx-ID: 18341
C. Wang, M. M. Bronstein, A. M. Bronstein, and N. Paragios, “Discrete minimum distortion correspondence problems for non-rigid shape matching,” in 3rd International Conference on Scale Space and Variational Methods in Computer Vision, Ein-Gedi, Israel, 2012, vol. 6667, pp. 580–591.
View | DOI
 
[71]
2012 | Published | Conference Paper | IST-REx-ID: 18348
G. Rosman, A. M. Bronstein, M. M. Bronstein, X.-C. Tai, and R. Kimmel, “Group-valued regularization for analysis of articulated motion,” in Computer Vision, ECCV 2012 - Workshops and Demonstrations, Florence, Italy, 2012, vol. 7583, no. Part 1, pp. 52–62.
View | DOI
 
[70]
2012 | Published | Conference Paper | IST-REx-ID: 18349
A. Kovnatsky, M. M. Bronstein, and A. M. Bronstein, “Stable Spectral Mesh Filtering,” in Computer Vision, ECCV 2012 - Workshops and Demonstrations, Florence, Italy, 2012, vol. 7583, no. Part 1, pp. 83–91.
View | DOI
 
[69]
2012 | Published | Conference Paper | IST-REx-ID: 18350
D. Raviv, A. M. Bronstein, M. M. Bronstein, R. Kimmel, and N. Sochen, “Equi-affine invariant geometries of articulated objects,” in 15th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl, Germany, 2012, vol. 7474, pp. 177–190.
View | DOI
 
[68]
2012 | Published | Conference Paper | IST-REx-ID: 18343
A. Kovnatsky, M. M. Bronstein, A. M. Bronstein, and R. Kimmel, “Photometric heat kernel signatures,” in 3rd International Conference on Scale Space and Variational Methods in Computer Vision, Ein-Gedi, Israel, 2012, vol. 6667, pp. 616–627.
View | DOI
 
[67]
2012 | Published | Conference Paper | IST-REx-ID: 18347
O. Litany, A. M. Bronstein, and M. M. Bronstein, “Putting the pieces together: Regularized multi-part shape matching,” in Computer Vision, ECCV 2012 - Workshops and Demonstrations, Florence, Italy, 2012, vol. 7583, no. Part 1, pp. 1–11.
View | DOI
 
[66]
2012 | Published | Book (Editor) | IST-REx-ID: 18340
A. M. Bruckstein, B. M. ter Haar Romeny, A. Bronstein, and M. M. Bronstein, Eds., Scale Space and Variational Methods in Computer Vision, 1st ed., vol. 6667. Berlin, Heidelberg: Springer Nature, 2012.
View | DOI
 
[65]
2012 | Published | Book Chapter | IST-REx-ID: 18325
A. M. Bronstein, M. M. Bronstein, and M. Ovsjanikov, “Feature-Based Methods in 3D Shape Analysis,” in 3D Imaging, Analysis and Applications, N. Pears, Y. Liu, and P. Bunting, Eds. London: Springer Nature, 2012, pp. 185–219.
View | DOI
 
[64]
2012 | Published | Journal Article | IST-REx-ID: 18364
R. Litman, A. M. Bronstein, and M. M. Bronstein, “Stable volumetric features in deformable shapes,” Computers & Graphics, vol. 36, no. 5. Elsevier, pp. 569–576, 2012.
View | DOI
 
[63]
2012 | Published | Journal Article | IST-REx-ID: 18412
C. Strecha, A. M. Bronstein, M. M. Bronstein, and P. Fua, “LDAHash: Improved matching with smaller descriptors,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, no. 1. Institute of Electrical and Electronics Engineers, pp. 66–78, 2012.
View | DOI | PubMed | Europe PMC
 
[62]
2011 | Published | Conference Paper | IST-REx-ID: 18394
R. Saabni and A. M. Bronstein, “Fast key-word searching via embedding and active-DTW,” in 2011 International Conference on Document Analysis and Recognition, Beijing, China, 2011.
View | DOI
 
[61]
2011 | Published | Conference Paper | IST-REx-ID: 18406
F. Michel, M. Bronstein, A. M. Bronstein, and N. Paragios, “Boosted metric learning for 3D multi-modal deformable registration,” in 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Chicago, IL, United States, 2011.
View | DOI
 
[60]
2011 | Published | Conference Paper | IST-REx-ID: 18377 | OA
D. Raviv, M. M. Bronstein, A. M. Bronstein, R. Kimmel, and N. Sochen, “Affine-invariant diffusion geometry for the analysis of deformable 3D shapes,” in CVPR 2011, Colorado Springs, CO, United States, 2011.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[59]
2011 | Published | Journal Article | IST-REx-ID: 18433
A. M. Bronstein, M. M. Bronstein, L. J. Guibas, and M. Ovsjanikov, “Shape google: Geometric words and expressions for invariant shape retrieval,” ACM Transactions on Graphics, vol. 30, no. 1. Association for Computing Machinery, pp. 1–20, 2011.
View | DOI
 
[58]
2011 | Published | Journal Article | IST-REx-ID: 18362 | OA
R. Litman, A. M. Bronstein, and M. M. Bronstein, “Diffusion-geometric maximally stable component detection in deformable shapes,” Computers & Graphics, vol. 35, no. 3. Elsevier, pp. 549–560, 2011.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[57]
2011 | Published | Journal Article | IST-REx-ID: 18363 | OA
D. Raviv, A. M. Bronstein, M. M. Bronstein, R. Kimmel, and N. Sochen, “Affine-invariant geodesic geometry of deformable 3D shapes,” Computers & Graphics, vol. 35, no. 3. Elsevier, pp. 692–697, 2011.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[56]
2011 | Published | Journal Article | IST-REx-ID: 18411
M. M. Bronstein and A. M. Bronstein, “Shape recognition with spectral distances,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, no. 5. Institute of Electrical and Electronics Engineers, pp. 1065–1071, 2011.
View | DOI | PubMed | Europe PMC
 
[55]
2010 | Published | Conference Paper | IST-REx-ID: 18376
M. M. Bronstein, A. M. Bronstein, F. Michel, and N. Paragios, “Data fusion through cross-modality metric learning using similarity-sensitive hashing,” in 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Francisco, CA, USA, 2010, pp. 3594–3601.
View | DOI
 
[54]
2010 | Published | Conference Paper | IST-REx-ID: 18338
A. M. Bronstein and M. M. Bronstein, “Spatially-sensitive affine-invariant image descriptors,” in 11th European Conference on Computer Vision, Heraklion, Greece, 2010, vol. 6312, pp. 197–208.
View | DOI
 
[53]
2010 | Published | Conference Paper | IST-REx-ID: 18432
D. Raviv, M. M. Bronstein, A. M. Bronstein, and R. Kimmel, “Volumetric heat kernel signatures,” in Proceedings of the ACM workshop on 3D object retrieval, Firenze, Italy, 2010, pp. 39–44.
View | DOI
 
[52]
2010 | Published | Conference Paper | IST-REx-ID: 18339
N. J. Mitra, A. M. Bronstein, and M. Bronstein, “Intrinsic regularity detection in 3D geometry,” in 11th European Conference on Computer Vision, Heraklion, Greece, 2010, vol. 6313, pp. 398–410.
View | DOI
 
[51]
2010 | Published | Journal Article | IST-REx-ID: 18358
A. M. Bronstein, M. M. Bronstein, R. Kimmel, M. Mahmoudi, and G. Sapiro, “A Gromov-Hausdorff framework with diffusion geometry for topologically-robust non-rigid shape matching,” International Journal of Computer Vision, vol. 89, no. 2–3. Springer Nature, pp. 266–286, 2010.
View | DOI
 
[50]
2010 | Published | Journal Article | IST-REx-ID: 18359
D. Raviv, A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Full and partial symmetries of non-rigid shapes,” International Journal of Computer Vision, vol. 89. Springer Nature, pp. 18–39, 2010.
View | DOI
 
[49]
2010 | Published | Journal Article | IST-REx-ID: 18360 | OA
G. Rosman, M. M. Bronstein, A. M. Bronstein, and R. Kimmel, “Nonlinear dimensionality reduction by topologically constrained isometric embedding,” International Journal of Computer Vision, vol. 89. Springer Nature, pp. 56–68, 2010.
[Published Version] View | DOI | Download Published Version (ext.)
 
[48]
2009 | Published | Journal Article | IST-REx-ID: 18438 | OA
A. M. Bronstein, M. M. Bronstein, Y. Carmon, and R. Kimmel, “Partial similarity of shapes using a statistical significance measure,” IPSJ Transactions on Computer Vision and Applications, vol. 1. Information Processing Society of Japan, pp. 105–114, 2009.
[Published Version] View | DOI | Download Published Version (ext.)
 
[47]
2009 | Published | Journal Article | IST-REx-ID: 18356
A. M. Bronstein, M. M. Bronstein, A. M. Bruckstein, and R. Kimmel, “Partial similarity of objects, or how to compare a centaur to a horse,” International Journal of Computer Vision, vol. 84, no. 2. Springer Nature, pp. 163–183, 2009.
View | DOI
 
[46]
2009 | Published | Journal Article | IST-REx-ID: 18357
A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Topology-invariant similarity of nonrigid shapes,” International Journal of Computer Vision, vol. 81, no. 3. Springer Nature, pp. 281–301, 2009.
View | DOI
 
[45]
2009 | Published | Conference Paper | IST-REx-ID: 18391
O. Rubinstein, Y. Honen, A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “3D-color video camera,” in 12th International Conference on Computer Vision Workshops, Kyoto, Japan, 2009.
View | DOI
 
[44]
2009 | Published | Conference Paper | IST-REx-ID: 18392
M. Ovsjanikov, A. M. Bronstein, M. M. Bronstein, and L. J. Guibas, “Shape Google: A computer vision approach to isometry invariant shape retrieval,” in 12th International Conference on Computer Vision Workshops, Kyoto, Japan, 2009.
View | DOI
 
[43]
2009 | Published | Conference Paper | IST-REx-ID: 18393
Y. S. Devir, G. Rosman, A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “On reconstruction of non-rigid shapes with intrinsic regularization,” in 12th International Conference on Computer Vision Workshops, Kyoto, Japan, 2009.
View | DOI
 
[42]
2008 | Published | Journal Article | IST-REx-ID: 18431
O. Weber, Y. S. Devir, A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Parallel algorithms for approximation of distance maps on parametric surfaces,” ACM Transactions on Graphics, vol. 27, no. 4. Association for Computing Machinery, 2008.
View | DOI
 
[41]
2008 | Published | Conference Paper | IST-REx-ID: 18337
A. M. Bronstein and M. M. Bronstein, “Regularized partial matching of rigid shapes,” in 10th European Conference on Computer Vision, Marseille, France, 2008, vol. 5303, pp. 143–154.
View | DOI
 
[40]
2008 | Published | Journal Article | IST-REx-ID: 18355
A. M. Bronstein, M. M. Bronstein, A. M. Bruckstein, and R. Kimmel, “Analysis of two-dimensional non-rigid shapes,” International Journal of Computer Vision, vol. 78. Springer Nature, pp. 67–88, 2008.
View | DOI
 
[39]
2008 | Published | Conference Paper | IST-REx-ID: 18381
A. M. Bronstein and M. M. Bronstein, “Not only size matters: Regularized partial matching of nonrigid shapes,” in 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, Anchorage, AK, United States, 2008.
View | DOI
 
[38]
2007 | Published | Journal Article | IST-REx-ID: 18420
A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Calculus of nonrigid surfaces for geometry and texture manipulation,” IEEE Transactions on Visualization and Computer Graphics, vol. 13, no. 5. IEEE, pp. 902–913, 2007.
View | DOI
 
[37]
2007 | Published | Conference Paper | IST-REx-ID: 18336
A. M. Bronstein, M. M. Bronstein, A. M. Bruckstein, and R. Kimmel, “Paretian similarity for partial comparison of non-rigid objects,” in First International Conference on Scale Space and Variational Methods in Computer Vision, Ischia, Italy, 2007, vol. 4485, pp. 264–275.
View | DOI
 
[36]
2007 | Published | Journal Article | IST-REx-ID: 18367
A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Weighted distance maps computation on parametric three-dimensional manifolds,” Journal of Computational Physics, vol. 225, no. 1. Elsevier, pp. 771–784, 2007.
View | DOI
 
[35]
2007 | Published | Conference Paper | IST-REx-ID: 18389
A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Rock, paper, and scissors: Extrinsic vs. intrinsic similarity of non-rigid shapes,” in 11th International Conference on Computer Vision, Rio de Janeiro, Brazil, 2007.
View | DOI
 
[34]
2007 | Published | Conference Paper | IST-REx-ID: 18390
D. Raviv, A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Symmetries of non-rigid shapes,” in 11th International Conference on Computer Vision, Rio de Janeiro, Brazil, 2007, vol. 72.
View | DOI
 
[33]
2006 | Published | Journal Article | IST-REx-ID: 18429
A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Efficient computation of isometry-invariant distances between surfaces,” SIAM Journal on Scientific Computing, vol. 28, no. 5. Society for Industrial & Applied Mathematics, pp. 1812–1836, 2006.
View | DOI
 
[32]
2006 | Published | Journal Article | IST-REx-ID: 18318
M. M. Bronstein, A. M. Bronstein, R. Kimmel, and I. Yavneh, “Multigrid multidimensional scaling,” Numerical Linear Algebra with Applications, vol. 13, no. 2–3. Wiley, pp. 149–171, 2006.
View | DOI
 
[31]
2006 | Published | Conference Paper | IST-REx-ID: 18320
A. M. Bronstein, M. M. Bronstein, and M. Zibulevsky, “On separation of semitransparent dynamic images from static background,” in 6th International Conference on Independent Component Analysis and Signal Separation, Charleston, SC, United States, 2006, vol. 3889, pp. 934–940.
View | DOI
 
[30]
2006 | Published | Conference Paper | IST-REx-ID: 18321
A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Robust expression-invariant face recognition from partially missing data,” in 9th European Conference on Computer Vision, Graz, Austria, 2006, vol. 3953.
View | DOI
 
[29]
2006 | Published | Conference Paper | IST-REx-ID: 18322
A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Facetoface: An isometric model for facial animation,” in 4th International Conference on Articulated Motion and Deformable Objects, Mallorca, Spain, 2006, vol. 4069, pp. 38–47.
View | DOI
 
[28]
2006 | Published | Conference Paper | IST-REx-ID: 18323
A. M. Bronstein, M. M. Bronstein, A. M. Bruckstein, and R. Kimmel, “Matching two-dimensional articulated shapes using generalized multidimensional scaling,” in 4th International Conference on Articulated Motion and Deformable Objects, Mallorca, Spain, 2006, vol. 4069, pp. 48–57.
View | DOI
 
[27]
2006 | Published | Journal Article | IST-REx-ID: 18370
A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Generalized multidimensional scaling: A framework for isometry-invariant partial surface matching,” PNAS, vol. 103, no. 5. National Academy of Sciences, pp. 1168–1172, 2006.
View | DOI | PubMed | Europe PMC
 
[26]
2006 | Published | Journal Article | IST-REx-ID: 18408
A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Expression-invariant representations of faces,” IEEE Transactions on Image Processing, vol. 16, no. 1. Institute of Electrical and Electronics Engineers, pp. 188–197, 2006.
View | DOI | PubMed | Europe PMC
 
[25]
2005 | Published | Journal Article | IST-REx-ID: 18417
A. M. Bronstein, M. M. Bronstein, and M. Zibulevsky, “Relative optimization for blind deconvolution,” IEEE Transactions on Signal Processing, vol. 53, no. 6. Institute of Electrical and Electronics Engineers (IEEE), pp. 2018–2026, 2005.
View | DOI
 
[24]
2005 | Published | Journal Article | IST-REx-ID: 18418
A. M. Bronstein, M. M. Bronstein, and M. Zibulevsky, “Quasi maximum likelihood MIMO blind deconvolution: Super- and sub-Gaussianity versus consistency,” IEEE Transactions on Signal Processing, vol. 53, no. 7. Institute of Electrical and Electronics Engineers (IEEE), pp. 2576–2579, 2005.
View | DOI
 
[23]
2005 | Published | Journal Article | IST-REx-ID: 18317
A. M. Bronstein, M. M. Bronstein, M. Zibulevsky, and Y. Y. Zeevi, “Sparse ICA for blind separation of transmitted and reflected images,” International Journal of Imaging Systems and Technology, vol. 15, no. 1. Wiley, pp. 84–91, 2005.
View | DOI
 
[22]
2005 | Published | Conference Paper | IST-REx-ID: 18319
A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Isometric embedding of facial surfaces into S3,” in 5th International Conference on Scale-Space Theories in Computer Vision, Hofgeismar, Germany, 2005, vol. 3459, pp. 622–631.
View | DOI
 
[21]
2005 | Published | Journal Article | IST-REx-ID: 18354
A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Three-dimensional face recognition,” International Journal of Computer Vision, vol. 64, no. 1. Springer Nature, pp. 5–30, 2005.
View | DOI
 
[20]
2005 | Published | Conference Paper | IST-REx-ID: 18398
A. M. Bronstein, M. M. Bronstein, M. Zibulevsky, and Y. Y. Zeevi, “‘Unmixing’ tissues: Sparse component analysis in multi-contrast MRI,” in IEEE International Conference on Image Processing, Genova, Italy, 2005, vol. 2, pp. 1279–1282.
View | DOI
 
[19]
2005 | Published | Conference Paper | IST-REx-ID: 18399
A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Expression-invariant face recognition via spherical embedding,” in International Conference on Image Processing, Genova, Italy, 2005, vol. 3, pp. 756–759.
View | DOI
 
[18]
2005 | Published | Journal Article | IST-REx-ID: 18407
M. M. Bronstein, A. M. Bronstein, M. Zibulevsky, and Y. Y. Zeevi, “Blind deconvolution of images using optimal sparse representations,” IEEE Transactions on Image Processing, vol. 14, no. 6. Institute of Electrical and Electronics Engineers, pp. 726–736, 2005.
View | DOI | PubMed | Europe PMC
 
[17]
2004 | Published | Conference Paper | IST-REx-ID: 18332
A. M. Bronstein, M. M. Bronstein, and M. Zibulevsky, “Blind source separation using the block-coordinate relative Newton method,” in 5th International Conference on Independent Component Analysis and Blind Signal Separation, Granada, Spain, 2004, vol. 3195, pp. 406–413.
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[16]
2004 | Published | Conference Paper | IST-REx-ID: 18334
A. M. Bronstein, M. M. Bronstein, and M. Zibulevsky, “Blind deconvolution using the relative Newton method,” in 5th International Conference on Independent Component Analysis and Blind Signal Separation, Granada, Spain, 2004, vol. 3195, pp. 554–561.
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[15]
2004 | Published | Conference Paper | IST-REx-ID: 18331
A. M. Bronstein, M. M. Bronstein, A. Spira, and R. Kimmel, “Face recognition from facial surface metric,” in 8th European Conference on Computer Vision, Prageu, Czech Republic, 2004, vol. 3022, pp. 225–237.
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[14]
2004 | Published | Conference Paper | IST-REx-ID: 18333
A. M. Bronstein, M. M. Bronstein, M. Zibulevsky, and Y. Y. Zeevi, “Optimal sparse representations for blind deconvolution of images,” in 5th International Conference on Independent Component Analysis and Blind Signal Separation, Granada, Spain, 2004, vol. 3195, pp. 500–507.
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[13]
2004 | Published | Conference Paper | IST-REx-ID: 18335
A. M. Bronstein, M. M. Bronstein, M. Zibulevsky, and Y. Y. Zeevi, “QML blind deconvolution: Asymptotic analysis,” in Proceedings of the 5th International Conference on Independent Component Analysis and Blind Signal Separation, Granada, Spain, 2004, vol. 3195, pp. 677–684.
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[12]
2004 | Published | Journal Article | IST-REx-ID: 18368
A. M. Bronstein, M. M. Bronstein, and M. Zibulevsky, “Blind source separation using block-coordinate relative Newton method,” Signal Processing, vol. 84, no. 8. Elsevier, pp. 1447–1459, 2004.
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[11]
2004 | Published | Conference Paper | IST-REx-ID: 18396
A. M. Bronstein, M. M. Bronstein, E. Gordon, and R. Kimmel, “Fusion of 2D and 3D data in three-dimensional face recognition,” in 2004 International Conference on Image Processing, Singapore, Singapore, 2004.
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[10]
2003 | Published | Conference Paper | IST-REx-ID: 18428
A. M. Bronstein, M. M. Bronstein, M. Zibulevsky, and Y. Y. Zeevi, “Separation of reflections via sparse ICA,” in SPIE Proceedings, San Diego, CA, United States, 2003, vol. 5207, no. 1, pp. 292–296.
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[9]
2003 | Published | Conference Paper | IST-REx-ID: 18324
A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Expression-invariant 3D face recognition,” in 4th International Conference on Audio- and Video-Based Biometric Person Authentication, Guildford, United Kingdom, 2003, vol. 2688, pp. 62–70.
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[8]
2003 | Published | Journal Article | IST-REx-ID: 18410
A. M. Bronstein, M. M. Bronstein, M. Zibulevsky, and Y. Y. Zeevi, “Optimal nonlinear line-of-flight estimation in positron emission tomography,” IEEE Transactions on Nuclear Science, vol. 50, no. 3. Institute of Electrical and Electronics Engineers, pp. 421–426, 2003.
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[7]
2002 | Published | Journal Article | IST-REx-ID: 18369
M. M. Bronstein and A. M. Bronstein, “Biometrics was no match for hair-raising tricks,” Nature, vol. 420, no. 6917. Springer Nature, pp. 739–739, 2002.
View | DOI | PubMed | Europe PMC
 
[6]
2002 | Published | Conference Paper | IST-REx-ID: 18382
A. M. Bronstein, M. M. Bronstein, M. Zibulevsky, and Y. Y. Zeevi, “Optimal non-linear line-of-flight estimation in positron emission tomography,” in The 22nd Convention on Electrical and Electronics Engineers in Israel, Tel-Aviv, Israel, 2002, vol. 2002–January, pp. 341–344.
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[5]
2002 | Published | Conference Paper | IST-REx-ID: 18383
M. M. Bronstein, A. M. Bronstein, M. Zibulevsky, and H. Azhari, “Application of the NUFFT for reconstruction problems in diffraction tomography,” in The 22nd Convention on Electrical and Electronics Engineers in Israel, Tel-Aviv, Israel, 2002, vol. 2002–January, pp. 345–347.
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[4]
2002 | Published | Conference Paper | IST-REx-ID: 18404
A. M. Bronstein, M. Bronstein, M. Zibulevsky, and Y. Y. Zeevi, “Optimal nonlinear estimation of photon coordinates in PET,” in Proceedings IEEE International Symposium on Biomedical Imaging, Washington, DC, United States, 2002, vol. 2002–January, pp. 541–544.
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[3]
2002 | Published | Conference Paper | IST-REx-ID: 18405
M. Bronstein, A. M. Bronstein, and M. Zibulevsky, “Iterative reconstruction in diffraction tomography using nonuniform fast Fourier transform,” in Proceedings IEEE International Symposium on Biomedical Imaging, Washington, DC, United States, 2002, vol. 2002–January, pp. 633–636.
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[2]
2002 | Published | Journal Article | IST-REx-ID: 18409
M. M. Bronstein, A. M. Bronstein, M. Zibulevsky, and H. Azhari, “Reconstruction in diffraction ultrasound tomography using nonuniform FFT,” IEEE Transactions on Medical Imaging, vol. 21, no. 11. Institute of Electrical and Electronics Engineers, pp. 1395–1401, 2002.
View | DOI | PubMed | Europe PMC
 
[1]
2001 | Published | Conference Paper | IST-REx-ID: 18397
M. M. Bronstein, A. M. Bronstein, M. Zibulevsky, and Y. Y. Zeevi, “Optimal sparse representations for blind source separation and blind deconvolution: A learning approach,” in 2004 International Conference on Image Processing, Singapore, Singapore, 2001.
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