Alex M. Bronstein

Bronstein Group

203 Publications

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