Christoph Lampert

Lampert Group

125 Publications

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[125]
2023 | Conference Paper | IST-REx-ID: 13053 | OA
Peste E-A, Vladu A, Kurtic E, Lampert C, Alistarh D-A. CrAM: A Compression-Aware Minimizer. 11th International Conference on Learning Representations . ICLR: International Conference on Learning Representations.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[124]
2023 | Conference Paper | IST-REx-ID: 14410
Tomaszewska P, Lampert C. 2023. On the implementation of baselines and lightweight conditional model extrapolation (LIMES) under class-prior shift. International Workshop on Reproducible Research in Pattern Recognition. RRPR: Reproducible Research in Pattern Recognition, LNCS, vol. 14068, 67–73.
View | DOI
 
[123]
2023 | Conference Paper | IST-REx-ID: 14921 | OA
Súkeník P, Mondelli M, Lampert C. Deep neural collapse is provably optimal for the deep unconstrained features model. 37th Annual Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, NeurIPS, .
[Preprint] View | Download Preprint (ext.) | arXiv
 
[122]
2023 | Preprint | IST-REx-ID: 15039 | OA
Prach B, Lampert C. 1-Lipschitz neural networks are more expressive with N-activations. arXiv, 2311.06103.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[121]
2022 | Preprint | IST-REx-ID: 12660 | OA
Scott JA, Yeo MX, Lampert C. Cross-client Label Propagation for transductive federated learning. arXiv, 2210.06434.
[Preprint] View | Files available | DOI | arXiv
 
[120]
2022 | Preprint | IST-REx-ID: 12662 | OA
Súkeník P, Lampert C. Generalization in Multi-objective machine learning. arXiv, 2208.13499.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[119]
2022 | Journal Article | IST-REx-ID: 12495 | OA
Iofinova EB, Konstantinov NH, Lampert C. 2022. FLEA: Provably robust fair multisource learning from unreliable training data. Transactions on Machine Learning Research.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[118]
2022 | Conference Paper | IST-REx-ID: 11839 | OA
Prach B, Lampert C. 2022. Almost-orthogonal layers for efficient general-purpose Lipschitz networks. Computer Vision – ECCV 2022. ECCV: European Conference on Computer Vision, LNCS, vol. 13681, 350–365.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[117]
2022 | Conference Paper | IST-REx-ID: 10752
Lampert J, Lampert C. 2022. Overcoming rare-language discrimination in multi-lingual sentiment analysis. 2021 IEEE International Conference on Big Data. Big Data: International Conference on Big Data, 5185–5192.
View | DOI | WoS
 
[116]
2022 | Conference Paper | IST-REx-ID: 12161 | OA
Tomaszewska P, Lampert C. 2022. Lightweight conditional model extrapolation for streaming data under class-prior shift. 26th International Conference on Pattern Recognition. ICPR: International Conference on Pattern Recognition vol. 2022, 2128–2134.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[115]
2022 | Journal Article | IST-REx-ID: 10802 | OA
Konstantinov NH, Lampert C. 2022. Fairness-aware PAC learning from corrupted data. Journal of Machine Learning Research. 23, 1–60.
[Published Version] View | Files available | arXiv
 
[114]
2022 | Conference Paper | IST-REx-ID: 13241 | OA
Konstantinov NH, Lampert C. 2022. On the impossibility of fairness-aware learning from corrupted data. Proceedings of Machine Learning Research. vol. 171, 59–83.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[113]
2021 | Conference Paper | IST-REx-ID: 9210 | OA
Volhejn V, Lampert C. 2021. Does SGD implicitly optimize for smoothness? 42nd German Conference on Pattern Recognition. DAGM GCPR: German Conference on Pattern Recognition LNCS vol. 12544, 246–259.
[Submitted Version] View | Files available | DOI
 
[112]
2021 | Conference Paper | IST-REx-ID: 9416 | OA
Phuong M, Lampert C. 2021. The inductive bias of ReLU networks on orthogonally separable data. 9th International Conference on Learning Representations. ICLR: International Conference on Learning Representations.
[Published Version] View | Files available | Download Published Version (ext.)
 
[111]
2021 | Preprint | IST-REx-ID: 10803 | OA
Konstantinov NH, Lampert C. Fairness through regularization for learning to rank. arXiv, 2102.05996.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[110]
2021 | Book Chapter | IST-REx-ID: 14987
Lampert C. 2021.Zero-Shot Learning. In: Computer Vision. , 1395–1397.
View | DOI
 
[109]
2020 | Preprint | IST-REx-ID: 8063 | OA
Anciukevicius T, Lampert C, Henderson PM. Object-centric image generation with factored depths, locations, and appearances. arXiv, 2004.00642.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[108]
2020 | Conference Paper | IST-REx-ID: 8188 | OA
Henderson PM, Lampert C. 2020. Unsupervised object-centric video generation and decomposition in 3D. 34th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems vol. 33, 3106–3117.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[107]
2020 | Conference Paper | IST-REx-ID: 7936 | OA
Royer A, Lampert C. 2020. Localizing grouped instances for efficient detection in low-resource scenarios. IEEE Winter Conference on Applications of Computer Vision. WACV: Winter Conference on Applications of Computer Vision, 1716–1725.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[106]
2020 | Conference Paper | IST-REx-ID: 7937 | OA
Royer A, Lampert C. 2020. A flexible selection scheme for minimum-effort transfer learning. 2020 IEEE Winter Conference on Applications of Computer Vision. WACV: Winter Conference on Applications of Computer Vision, 2180–2189.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[105]
2020 | Conference Paper | IST-REx-ID: 7481 | OA
Phuong M, Lampert C. 2020. Functional vs. parametric equivalence of ReLU networks. 8th International Conference on Learning Representations. ICLR: International Conference on Learning Representations.
[Published Version] View | Files available
 
[104]
2020 | Conference Paper | IST-REx-ID: 8724 | OA
Konstantinov NH, Frantar E, Alistarh D-A, Lampert C. 2020. On the sample complexity of adversarial multi-source PAC learning. Proceedings of the 37th International Conference on Machine Learning. ICML: International Conference on Machine Learning vol. 119, 5416–5425.
[Published Version] View | Files available | arXiv
 
[103]
2020 | Conference Paper | IST-REx-ID: 8186 | OA
Henderson PM, Tsiminaki V, Lampert C. 2020. Leveraging 2D data to learn textured 3D mesh generation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. CVPR: Conference on Computer Vision and Pattern Recognition, 7498–7507.
[Submitted Version] View | Files available | DOI | Download Submitted Version (ext.) | arXiv
 
[102]
2020 | Journal Article | IST-REx-ID: 6944 | OA
Sun R, Lampert C. 2020. KS(conf): A light-weight test if a multiclass classifier operates outside of its specifications. International Journal of Computer Vision. 128(4), 970–995.
[Published Version] View | Files available | DOI | WoS
 
[101]
2019 | Book (Editor) | IST-REx-ID: 7171
Kersting K, Lampert C, Rothkopf C eds. 2019. Wie Maschinen Lernen: Künstliche Intelligenz Verständlich Erklärt 1st ed., Wiesbaden: Springer Nature, XIV, 245p.
View | Files available | DOI
 
[100]
2019 | Conference Paper | IST-REx-ID: 6942 | OA
Ashok P, Brázdil T, Chatterjee K, Křetínský J, Lampert C, Toman V. 2019. Strategy representation by decision trees with linear classifiers. 16th International Conference on Quantitative Evaluation of Systems. QEST: Quantitative Evaluation of Systems, LNCS, vol. 11785, 109–128.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[99]
2019 | Journal Article | IST-REx-ID: 6554 | OA
Xian Y, Lampert C, Schiele B, Akata Z. 2019. Zero-shot learning - A comprehensive evaluation of the good, the bad and the ugly. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(9), 2251–2265.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[98]
2019 | Conference Paper | IST-REx-ID: 7479 | OA
Phuong M, Lampert C. 2019. Distillation-based training for multi-exit architectures. IEEE International Conference on Computer Vision. ICCV: International Conference on Computer Vision vol. 2019–October, 1355–1364.
[Submitted Version] View | Files available | DOI | WoS
 
[97]
2019 | Conference Paper | IST-REx-ID: 7640 | OA
Kolesnikov A, Kuznetsova A, Lampert C, Ferrari V. 2019. Detecting visual relationships using box attention. Proceedings of the 2019 International Conference on Computer Vision Workshop. ICCVW: International Conference on Computer Vision Workshop, 1749–1753.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[96]
2019 | Conference Paper | IST-REx-ID: 6569 | OA
Phuong M, Lampert C. 2019. Towards understanding knowledge distillation. Proceedings of the 36th International Conference on Machine Learning. ICML: International Conference on Machine Learning vol. 97, 5142–5151.
[Published Version] View | Files available
 
[95]
2019 | Conference Paper | IST-REx-ID: 6590 | OA
Konstantinov NH, Lampert C. 2019. Robust learning from untrusted sources. Proceedings of the 36th International Conference on Machine Learning. ICML: International Conference on Machine Learning vol. 97, 3488–3498.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[94]
2019 | Conference Paper | IST-REx-ID: 6482 | OA
Sun R, Lampert C. 2019. KS(conf): A light-weight test if a ConvNet operates outside of Its specifications. GCPR: Conference on Pattern Recognition, LNCS, vol. 11269, 244–259.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[93]
2018 | Journal Article | IST-REx-ID: 321 | OA
Darrell T, Lampert C, Sebe N, Wu Y, Yan Y. 2018. Guest editors’ introduction to the special section on learning with Shared information for computer vision and multimedia analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(5), 1029–1031.
[Published Version] View | Files available | DOI | WoS
 
[92]
2018 | Conference Paper | IST-REx-ID: 10882 | OA
Uijlings J, Konyushkova K, Lampert C, Ferrari V. 2018. Learning intelligent dialogs for bounding box annotation. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. CVF: Conference on Computer Vision and Pattern Recognition, 9175–9184.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[91]
2018 | Conference Paper | IST-REx-ID: 6012 | OA
Sahoo S, Lampert C, Martius GS. 2018. Learning equations for extrapolation and control. Proceedings of the 35th International Conference on Machine Learning. ICML: International Conference on Machine Learning vol. 80, 4442–4450.
[Preprint] View | Files available | Download Preprint (ext.) | WoS | arXiv
 
[90]
2018 | Conference Paper | IST-REx-ID: 6011 | OA
Kuzborskij I, Lampert C. 2018. Data-dependent stability of stochastic gradient descent. Proceedings of the 35 th International Conference on Machine Learning. ICML: International Conference on Machine Learning vol. 80, 2815–2824.
[Preprint] View | Download Preprint (ext.) | WoS | arXiv
 
[89]
2017 | Conference Paper | IST-REx-ID: 6841 | OA
Martius GS, Lampert C. 2017. Extrapolation and learning equations. 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings. ICLR: International Conference on Learning Representations.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[88]
2017 | Conference Paper | IST-REx-ID: 750
Pielorz J, Prandtstetter M, Straub M, Lampert C. 2017. Optimal geospatial volunteer allocation needs realistic distances. 2017 IEEE International Conference on Big Data. Big Data, 3760–3763.
View | DOI
 
[87]
2017 | Conference Paper | IST-REx-ID: 1000 | OA
Kolesnikov A, Lampert C. 2017. PixelCNN models with auxiliary variables for natural image modeling. 34th International Conference on Machine Learning. ICML: International Conference on Machine Learning vol. 70, 1905–1914.
[Submitted Version] View | Download Submitted Version (ext.) | WoS | arXiv
 
[86]
2017 | Conference Paper | IST-REx-ID: 998 | OA
Rebuffi SA, Kolesnikov A, Sperl G, Lampert C. 2017. iCaRL: Incremental classifier and representation learning. CVPR: Computer Vision and Pattern Recognition vol. 2017, 5533–5542.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
[85]
2017 | Conference Paper | IST-REx-ID: 911 | OA
Royer A, Kolesnikov A, Lampert C. 2017. Probabilistic image colorization. BMVC: British Machine Vision Conference, 85.1-85.12.
[Published Version] View | Files available | DOI | arXiv
 
[84]
2017 | Conference Paper | IST-REx-ID: 1108 | OA
Zimin A, Lampert C. 2017. Learning theory for conditional risk minimization. AISTATS: Artificial Intelligence and Statistics, PMLR, vol. 54, 213–222.
[Submitted Version] View | Download Submitted Version (ext.) | WoS
 
[83]
2017 | Conference Paper | IST-REx-ID: 999 | OA
Pentina A, Lampert C. 2017. Multi-task learning with labeled and unlabeled tasks. ICML: International Conference on Machine Learning, PMLR, vol. 70, 2807–2816.
[Submitted Version] View | Download Submitted Version (ext.) | WoS
 
[82]
2016 | Conference Paper | IST-REx-ID: 1102 | OA
Kolesnikov A, Lampert C. 2016. Improving weakly-supervised object localization by micro-annotation. Proceedings of the British Machine Vision Conference 2016. BMVC: British Machine Vision Conference vol. 2016–September, 92.1-92.12.
[Published Version] View | DOI | Download Published Version (ext.)
 
[81]
2016 | Conference Paper | IST-REx-ID: 1369 | OA
Kolesnikov A, Lampert C. 2016. Seed, expand and constrain: Three principles for weakly-supervised image segmentation. ECCV: European Conference on Computer Vision, LNCS, vol. 9908, 695–711.
[Preprint] View | DOI | Download Preprint (ext.)
 
[80]
2016 | Conference Paper | IST-REx-ID: 1707
Pielorz J, Lampert C. 2016. Optimal geospatial allocation of volunteers for crisis management. ICT-DM: Information and Communication Technologies for Disaster Management, 7402041.
View | DOI
 
[79]
2015 | Conference Paper | IST-REx-ID: 1425 | OA
Pentina A, Lampert C. 2015. Lifelong learning with non-i.i.d. tasks. NIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 2015, 1540–1548.
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[78]
2015 | Conference Paper | IST-REx-ID: 1859 | OA
Shah N, Kolmogorov V, Lampert C. 2015. A multi-plane block-coordinate Frank-Wolfe algorithm for training structural SVMs with a costly max-oracle. CVPR: Computer Vision and Pattern Recognition, 2737–2745.
[Preprint] View | DOI | Download Preprint (ext.)
 
[77]
2015 | Conference Paper | IST-REx-ID: 1860 | OA
Royer A, Lampert C. 2015. Classifier adaptation at prediction time. CVPR: Computer Vision and Pattern Recognition, 1401–1409.
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[76]
2015 | Conference Paper | IST-REx-ID: 1858 | OA
Lampert C. 2015. Predicting the future behavior of a time-varying probability distribution. CVPR: Computer Vision and Pattern Recognition, 942–950.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[75]
2015 | Conference Paper | IST-REx-ID: 1857 | OA
Pentina A, Sharmanska V, Lampert C. 2015. Curriculum learning of multiple tasks. CVPR: Computer Vision and Pattern Recognition, 5492–5500.
[Preprint] View | DOI | Download Preprint (ext.)
 
[74]
2014 | Book Chapter | IST-REx-ID: 1829
Muelling K, Kroemer O, Lampert C, Schölkopf B. 2014.Movement templates for learning of hitting and batting. In: Learning Motor Skills. Springer Tracts in Advanced Robotics, vol. 97, 69–82.
View | DOI
 
[73]
2014 | Conference Paper | IST-REx-ID: 2033 | OA
Hernandez Lobato D, Sharmanska V, Kersting K, Lampert C, Quadrianto N. 2014. Mind the nuisance: Gaussian process classification using privileged noise. Advances in Neural Information Processing Systems. NIPS: Neural Information Processing Systems vol. 1, 837–845.
[Submitted Version] View | Download Submitted Version (ext.)
 
[72]
2014 | Conference Paper | IST-REx-ID: 2171 | OA
Kolesnikov A, Guillaumin M, Ferrari V, Lampert C. 2014. Closed-form approximate CRF training for scalable image segmentation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ECCV: European Conference on Computer Vision, LNCS, vol. 8691, 550–565.
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[71]
2014 | Conference Paper | IST-REx-ID: 2173 | OA
Khamis S, Lampert C. 2014. CoConut: Co-classification with output space regularization. Proceedings of the British Machine Vision Conference 2014. BMVC: British Machine Vision Conference.
[Published Version] View | Files available
 
[70]
2014 | Conference Paper | IST-REx-ID: 2172
Sydorov V, Sakurada M, Lampert C. 2014. Deep Fisher Kernels – End to end learning of the Fisher Kernel GMM parameters. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR: Computer Vision and Pattern Recognition, 1402–1409.
View | DOI
 
[69]
2014 | Conference Paper | IST-REx-ID: 2160 | OA
Pentina A, Lampert C. 2014. A PAC-Bayesian bound for Lifelong Learning. ICML: International Conference on Machine Learning vol. 32, 991–999.
[Submitted Version] View | Download Submitted Version (ext.)
 
[68]
2013 | Conference Paper | IST-REx-ID: 2294 | OA
Kazmar T, Kvon E, Stark A, Lampert C. 2013. Drosophila Embryo Stage Annotation using Label Propagation. ICCV: International Conference on Computer Vision.
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[67]
2013 | Conference Paper | IST-REx-ID: 2293 | OA
Sharmanska V, Quadrianto N, Lampert C. 2013. Learning to rank using privileged information. ICCV: International Conference on Computer Vision, 825–832.
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[66]
2013 | Journal Article | IST-REx-ID: 2516
Lampert C, Nickisch H, Harmeling S. 2013. Attribute-based classification for zero-shot learning of object categories. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(3), 453–465.
View | DOI
 
[65]
2013 | Conference Paper | IST-REx-ID: 2901 | OA
Chen C, Kolmogorov V, Yan Z, Metaxas D, Lampert C. 2013. Computing the M most probable modes of a graphical model. AISTATS: Conference on Uncertainty in Artificial Intelligence, JMLR: W&CP, vol. 31, 161–169.
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[64]
2013 | Conference Paper | IST-REx-ID: 2948 | OA
Tommasi T, Quadrianto N, Caputo B, Lampert C. 2013. Beyond dataset bias: Multi-task unaligned shared knowledge transfer. 7724, 1–15.
[Submitted Version] View | Files available | DOI
 
[63]
2013 | Encyclopedia Article | IST-REx-ID: 3321
Quadrianto N, Lampert C. 2013.Kernel based learning. In: Encyclopedia of Systems Biology. vol. 3, 1069–1069.
View | DOI
 
[62]
2012 | Conference Paper | IST-REx-ID: 2825
Lampert C. 2012. Dynamic pruning of factor graphs for maximum marginal prediction. NIPS: Neural Information Processing Systems vol. 1, 82–90.
View
 
[61]
2012 | Journal Article | IST-REx-ID: 3164
Blaschko M, Lampert C. 2012. Guest editorial: Special issue on structured prediction and inference. International Journal of Computer Vision. 99(3), 257–258.
View | DOI
 
[60]
2012 | Conference Paper | IST-REx-ID: 3125 | OA
Sharmanska V, Quadrianto N, Lampert C. 2012. Augmented attribute representations. ECCV: European Conference on Computer Vision, LNCS, vol. 7576, 242–255.
[Submitted Version] View | Files available | DOI
 
[59]
2012 | Conference Paper | IST-REx-ID: 3126
Müller A, Nowozin S, Lampert C. 2012. Information theoretic clustering using minimal spanning trees. DAGM: German Association For Pattern Recognition, LNCS, vol. 7476, 205–215.
View | DOI
 
[58]
2012 | Journal Article | IST-REx-ID: 3248 | OA
Lampert C, Peters J. 2012. Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components. Journal of Real-Time Image Processing. 7(1), 31–41.
[Submitted Version] View | Files available | DOI
 
[57]
2012 | Conference Paper | IST-REx-ID: 3124 | OA
Korc F, Kolmogorov V, Lampert C. 2012. Approximating marginals using discrete energy minimization. ICML: International Conference on Machine Learning, Inferning 2012, .
[Submitted Version] View | Files available
 
[56]
2012 | Technical Report | IST-REx-ID: 5396 | OA
Korc F, Kolmogorov V, Lampert C. 2012. Approximating marginals using discrete energy minimization, IST Austria, 13p.
[Published Version] View | Files available | DOI
 
[55]
2012 | Conference Paper | IST-REx-ID: 2915
Kroemer O, Lampert C, Peters J. 2012. Multi-modal learning for dynamic tactile sensing
View
 
[54]
2012 | Conference Paper | IST-REx-ID: 3127 | OA
Quadrianto N, Lampert C, Chen C. 2012. The most persistent soft-clique in a set of sampled graphs. Proceedings of the 29th International Conference on Machine Learning. ICML: International Conference on Machine Learning, 211–218.
[Preprint] View | Download Preprint (ext.)
 
[53]
2011 | Conference Paper | IST-REx-ID: 3337
Wang Z, Lampert C, Mülling K, Schölkopf B, Peters J. 2011. Learning anticipation policies for robot table tennis. IROS: RSJ International Conference on Intelligent Robots and Systems, 332–337.
View | DOI
 
[52]
2011 | Journal Article | IST-REx-ID: 3389
Blaschko M, Shelton J, Bartels A, Lampert C, Gretton A. 2011. Semi supervised kernel canonical correlation analysis with application to human fMRI. Pattern Recognition Letters. 32(11), 1572–1583.
View | DOI
 
[51]
2011 | Journal Article | IST-REx-ID: 3382
Kroemer O, Lampert C, Peters J. 2011. Learning dynamic tactile sensing with robust vision based training. IEEE Transactions on Robotics. 27(3), 545–557.
View | DOI
 
[50]
2011 | Technical Report | IST-REx-ID: 5386 | OA
Chen C, Freedman D, Lampert C. 2011. Enforcing topological constraints in random field image segmentation, IST Austria, 69p.
[Published Version] View | Files available | DOI
 
[49]
2011 | Conference Paper | IST-REx-ID: 3336
Chen C, Freedman D, Lampert C. 2011. Enforcing topological constraints in random field image segmentation. CVPR: Computer Vision and Pattern Recognition. CVPR: Conference on Computer Vision and Pattern Recognition, 2089–2096.
View | Files available | DOI
 
[48]
2011 | Conference Paper | IST-REx-ID: 3163
Lampert C. 2011. Maximum margin multi-label structured prediction. NIPS: Neural Information Processing Systems.
View | Files available
 
[47]
2011 | Conference Poster | IST-REx-ID: 3322
Lampert C. 2011. Maximum margin multi label structured prediction, Neural Information Processing Systems Foundation,p.
View | Files available
 
[46]
2011 | Journal Article | IST-REx-ID: 3320 | OA
Nowozin S, Lampert C. 2011. Structured learning and prediction in computer vision. Foundations and Trends in Computer Graphics and Vision. 6(3–4), 185–365.
[Published Version] View | Files available | DOI
 
[45]
2011 | Conference Paper | IST-REx-ID: 3319
Quadrianto N, Lampert C. 2011. Learning multi-view neighborhood preserving projections. ICML: International Conference on Machine Learning, 425–432.
View
 
[44]
2010 | Journal Article | IST-REx-ID: 3686
Nowozin S, Lampert C. 2010. Global interactions in random field models: A potential function ensuring connectedness. SIAM Journal on Imaging Sciences. 3(4 (Special Section on Optimization in Imaging Sciences)), 1048–1074.
View | DOI
 
[43]
2010 | Conference Paper | IST-REx-ID: 3682
Tang K, Tappen M, Sukthankar R, Lampert C. 2010. Optimizing one-shot recognition with micro-set learning. CVPR: Computer Vision and Pattern Recognition, 3027–3034.
View | DOI
 
[42]
2010 | Conference Paper | IST-REx-ID: 3702
Kober J, Mülling K, Krömer O, Lampert C, Schölkopf B, Peters J. 2010. Movement templates for learning of hitting and batting. ICRA: International Conference on Robotics and Automation, 853–858.
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[41]
2010 | Conference Paper | IST-REx-ID: 3794
Lampert C, Krömer O. 2010. Weakly-paired maximum covariance analysis for multimodal dimensionality reduction and transfer learning. ECCV: European Conference on Computer Vision, LNCS, vol. 6312, 566–579.
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[40]
2010 | Conference Paper | IST-REx-ID: 3676
Wanke J, Ulges A, Lampert C, Breuel T. 2010. Topic models for semantic video compression. MIR: Multimedia Information Retrieval, 275–284.
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[39]
2010 | Journal Article | IST-REx-ID: 3697
Tuytelaars T, Lampert C, Blaschko M, Buntine W. 2010. Unsupervised object discovery: A comparison. International Journal of Computer Vision. 88(2), 284–302.
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[38]
2010 | Conference Paper | IST-REx-ID: 3713
Lampert C. 2010. An efficient divide-and-conquer cascade for nonlinear object detection. CVPR: Computer Vision and Pattern Recognition, 1022–1029.
View | DOI
 
[37]
2010 | Conference Paper | IST-REx-ID: 3793 | OA
Nowozin S, Gehler P, Lampert C. 2010. On parameter learning in CRF-based approaches to object class image segmentation. ECCV: European Conference on Computer Vision, LNCS, vol. 6316, 98–111.
[Submitted Version] View | Files available | DOI
 
[36]
2009 | Conference Poster | IST-REx-ID: 3699
Blaschko M, Lampert C, Bartels A. 2009. Semi-supervised analysis of human fMRI data, Berlin Institute of Technology,p.
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[35]
2009 | Conference Paper | IST-REx-ID: 3703
Blaschko M, Lampert C. 2009. Object localization with global and local context kernels. BMVC: British Machine Vision Conference, Proceedings of the BMVC, , 1–11.
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[34]
2009 | Conference Paper | IST-REx-ID: 3704
Lampert C, Nickisch H, Harmeling S. 2009. Learning to detect unseen object classes by between-class attribute transfer. CVPR: Computer Vision and Pattern Recognition, 951–958.
View | DOI
 
[33]
2009 | Conference Paper | IST-REx-ID: 3715
Lampert C, Peters J. 2009. Active structured learning for high-speed object detection. DAGM: German Association For Pattern Recognition, LNCS, vol. 5748, 221–231.
View | DOI
 
[32]
2009 | Conference Poster | IST-REx-ID: 3717
Lampert C, Peters J. 2009. A high-speed object tracker from off-the-shelf components, IEEE,p.
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[31]
2009 | Journal Article | IST-REx-ID: 3696
Lampert C, Blaschko M. 2009. Structured prediction by joint kernel support estimation. Machine Learning. 77(2–3), 249–269.
View | DOI
 
[30]
2009 | Conference Paper | IST-REx-ID: 3690
Dhillon P, Nowozin S, Lampert C. 2009. Combining appearance and motion for human action classification in videos. CVPR: Computer Vision and Pattern Recognition, 22–29.
View | DOI
 
[29]
2009 | Journal Article | IST-REx-ID: 3710
Lampert C, Blaschko M, Hofmann T. 2009. Efficient subwindow search: A branch and bound framework for object localization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 31(12), 2129–2142.
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[28]
2009 | Conference Paper | IST-REx-ID: 3711
Dhillon P, Nowozin S, Lampert C. 2009. Combining appearance and motion for human action classification in videos. CVPR: Computer Vision and Pattern Recognition, 22–29.
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[27]
2009 | Book | IST-REx-ID: 3707
Lampert C. 2009. Kernel Methods in Computer Vision, now publishers, 112p.
View | DOI
 
[26]
2009 | Conference Paper | IST-REx-ID: 3708
Nowozin S, Lampert C. 2009. Global connectivity potentials for random field models. CVPR: Computer Vision and Pattern Recognition, 818–825.
View | DOI
 
[25]
2009 | Conference Paper | IST-REx-ID: 3709
Lampert C. 2009. Detecting objects in large image collections and videos by efficient subimage retrieval. ICCV: International Conference on Computer Vision, 987–994.
View | DOI
 
[24]
2008 | Conference Paper | IST-REx-ID: 3705
Blaschko M, Lampert C. 2008. Learning to localize objects with structured output regression. ECCV: European Conference on Computer Vision, LNCS, vol. 5302, 2–15.
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[23]
2008 | Conference Paper | IST-REx-ID: 3700
Lampert C. 2008. Partitioning of image datasets using discriminative context information. CVPR: Computer Vision and Pattern Recognition, 1–8.
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[22]
2008 | Conference Paper | IST-REx-ID: 3716
Lampert C, Blaschko M. 2008. A multiple kernel learning approach to joint multi-class object detection. DAGM: German Association For Pattern Recognition, LNCS, vol. 5096, 31–40.
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[21]
2008 | Conference Paper | IST-REx-ID: 3714
Lampert C, Blaschko M, Hofmann T. 2008. Beyond sliding windows: Object localization by efficient subwindow search. CVPR: Computer Vision and Pattern Recognition, 1–8.
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[20]
2008 | Conference Paper | IST-REx-ID: 3698
Blaschko M, Lampert C, Gretton A. 2008. Semi-supervised Laplacian regularization of kernel canonical correlation analysis. ECML: European Conference on Machine Learning, LNCS, vol. 5211, 133–145.
View | DOI
 
[19]
2008 | Conference Paper | IST-REx-ID: 3694
Goldstein M, Lampert C, Reif M, Stahl A, Breuel T. 2008. Bayes optimal DDoS mitigation by adaptive history-based IP filtering. ICN: International Conference on Networking, 174–179.
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[18]
2008 | Conference Paper | IST-REx-ID: 3706
Lampert C, Blaschko M. 2008. Joint kernel support estimation for structured prediction. NIPS SISO: NIPS Workshop on ‘Structured Input - Structured Output’, 1–4.
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[17]
2008 | Conference Paper | IST-REx-ID: 3712
Blaschko M, Lampert C. 2008. Correlational spectral clustering. CVPR: Computer Vision and Pattern Recognition, 1–8.
View | DOI
 
[16]
2007 | Report | IST-REx-ID: 3687
Blaschko M, Hofmann T, Lampert C. 2007. Efficient subwindow search for object localization, Max-Planck-Institute for Biological Cybernetics,p.
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[15]
2007 | Conference Paper | IST-REx-ID: 3701
Ulges A, Lampert C, Keysers D, Breuel T. 2007. Optimal dominant motion estimation using adaptive search of transformation space. DAGM: German Association For Pattern Recognition, LNCS, vol. 4713, 204–213.
View | DOI
 
[14]
2007 | Conference Paper | IST-REx-ID: 3681
Ulges A, Lampert C, Keysers D, Breuel T. 2007. Optimal dominant motion estimation using adaptive search of transformation space. DAGM: German Association For Pattern Recognition, LCNS, vol. 4713, 204–213.
View | DOI
 
[13]
2006 | Conference Paper | IST-REx-ID: 3683
Lampert C, Breuel T. 2006. Objective quality measurement for geometric document image restoration. DAS: Document Analysis Systems.
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[12]
2006 | Conference Paper | IST-REx-ID: 3685
Lampert C. 2006. Machine learning for video compression: Macroblock mode decision. ICPR: International Conference on Pattern Recognition, 936–940.
View | DOI
 
[11]
2006 | Conference Paper | IST-REx-ID: 3679
Ali H, Lampert C, Breuel T. 2006. Satellite tracks removal in astronomical images. CIARP: Iberoamerican Congress in Pattern Recognition, LNCS, vol. 4225, 892–901.
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[10]
2006 | Conference Paper | IST-REx-ID: 3677
Ulges A, Lampert C, Keysers D. 2006. Spatiogram-based shot distances for video retrieval. TRECVID Workshop, TRECVID Notebook Papers and Slides, , 1–10.
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[9]
2006 | Conference Paper | IST-REx-ID: 3680
Lampert C, Mei L, Breuel T. 2006. Printing technique classification for document counterfeit detection. CIS: Computational Intelligence and Security vol. 1, 639–634.
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[8]
2006 | Journal Article | IST-REx-ID: 3695 | OA
Lampert C, Wirjadi O. 2006. An optimal non-orthogonal separation of the anisotropic Gaussian convolution filter. IEEE Transactions on Image Processing (TIP). 15(11), 3501–3513.
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[7]
2006 | Conference Paper | IST-REx-ID: 3693
Lampert C, Wirjadi O. 2006. Anisotropic Gaussian filtering using fixed point arithmetic. ICIP: IEEE International Conference on Image Processing, 1565–1568.
View | DOI
 
[6]
2006 | Conference Paper | IST-REx-ID: 3692
Keysers D, Lampert C, Breuel T. 2006. Color image dequantization by constrained diffusion. SPIE Electronic Imaging vol. 6058.
View | DOI
 
[5]
2005 | Conference Paper | IST-REx-ID: 3689
Ulges A, Lampert C, Breuel T. 2005. Document image dewarping using robust estimation of curled text lines. ICDAR: International Conference on Document Analysis and Recognition, Document Analysis and Recognition, vol. 2, 1001–1005.
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[4]
2005 | Conference Paper | IST-REx-ID: 3684
Lampert C, Braun T, Ulges A, Keysers D, Breuel T. 2005. Oblivious document capture and real-time retrieval. CBDAR: Camera Based Document Analysis and Recognition , 79–86.
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[3]
2005 | Journal Article | IST-REx-ID: 3691
Lampert C. 2005. Boundary regularity of admissible operators. Publicacions Matemàtiques. 49(1), 179–195.
View | DOI
 
[2]
2004 | Conference Paper | IST-REx-ID: 3688
Ulges A, Lampert C, Breuel T. 2004. Document capture using stereo vision. DocEng: ACM Symposium on Document Engineering, 198–200.
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[1]
2003 | Thesis | IST-REx-ID: 3678
Lampert C. 2003. The Neumann operator in strictly pseudoconvex domains with weighted Bergman metric . Universität Bonn, Fachbibliothek Mathematik.
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[125]
2023 | Conference Paper | IST-REx-ID: 13053 | OA
Peste E-A, Vladu A, Kurtic E, Lampert C, Alistarh D-A. CrAM: A Compression-Aware Minimizer. 11th International Conference on Learning Representations . ICLR: International Conference on Learning Representations.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[124]
2023 | Conference Paper | IST-REx-ID: 14410
Tomaszewska P, Lampert C. 2023. On the implementation of baselines and lightweight conditional model extrapolation (LIMES) under class-prior shift. International Workshop on Reproducible Research in Pattern Recognition. RRPR: Reproducible Research in Pattern Recognition, LNCS, vol. 14068, 67–73.
View | DOI
 
[123]
2023 | Conference Paper | IST-REx-ID: 14921 | OA
Súkeník P, Mondelli M, Lampert C. Deep neural collapse is provably optimal for the deep unconstrained features model. 37th Annual Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, NeurIPS, .
[Preprint] View | Download Preprint (ext.) | arXiv
 
[122]
2023 | Preprint | IST-REx-ID: 15039 | OA
Prach B, Lampert C. 1-Lipschitz neural networks are more expressive with N-activations. arXiv, 2311.06103.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[121]
2022 | Preprint | IST-REx-ID: 12660 | OA
Scott JA, Yeo MX, Lampert C. Cross-client Label Propagation for transductive federated learning. arXiv, 2210.06434.
[Preprint] View | Files available | DOI | arXiv
 
[120]
2022 | Preprint | IST-REx-ID: 12662 | OA
Súkeník P, Lampert C. Generalization in Multi-objective machine learning. arXiv, 2208.13499.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[119]
2022 | Journal Article | IST-REx-ID: 12495 | OA
Iofinova EB, Konstantinov NH, Lampert C. 2022. FLEA: Provably robust fair multisource learning from unreliable training data. Transactions on Machine Learning Research.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[118]
2022 | Conference Paper | IST-REx-ID: 11839 | OA
Prach B, Lampert C. 2022. Almost-orthogonal layers for efficient general-purpose Lipschitz networks. Computer Vision – ECCV 2022. ECCV: European Conference on Computer Vision, LNCS, vol. 13681, 350–365.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[117]
2022 | Conference Paper | IST-REx-ID: 10752
Lampert J, Lampert C. 2022. Overcoming rare-language discrimination in multi-lingual sentiment analysis. 2021 IEEE International Conference on Big Data. Big Data: International Conference on Big Data, 5185–5192.
View | DOI | WoS
 
[116]
2022 | Conference Paper | IST-REx-ID: 12161 | OA
Tomaszewska P, Lampert C. 2022. Lightweight conditional model extrapolation for streaming data under class-prior shift. 26th International Conference on Pattern Recognition. ICPR: International Conference on Pattern Recognition vol. 2022, 2128–2134.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[115]
2022 | Journal Article | IST-REx-ID: 10802 | OA
Konstantinov NH, Lampert C. 2022. Fairness-aware PAC learning from corrupted data. Journal of Machine Learning Research. 23, 1–60.
[Published Version] View | Files available | arXiv
 
[114]
2022 | Conference Paper | IST-REx-ID: 13241 | OA
Konstantinov NH, Lampert C. 2022. On the impossibility of fairness-aware learning from corrupted data. Proceedings of Machine Learning Research. vol. 171, 59–83.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[113]
2021 | Conference Paper | IST-REx-ID: 9210 | OA
Volhejn V, Lampert C. 2021. Does SGD implicitly optimize for smoothness? 42nd German Conference on Pattern Recognition. DAGM GCPR: German Conference on Pattern Recognition LNCS vol. 12544, 246–259.
[Submitted Version] View | Files available | DOI
 
[112]
2021 | Conference Paper | IST-REx-ID: 9416 | OA
Phuong M, Lampert C. 2021. The inductive bias of ReLU networks on orthogonally separable data. 9th International Conference on Learning Representations. ICLR: International Conference on Learning Representations.
[Published Version] View | Files available | Download Published Version (ext.)
 
[111]
2021 | Preprint | IST-REx-ID: 10803 | OA
Konstantinov NH, Lampert C. Fairness through regularization for learning to rank. arXiv, 2102.05996.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[110]
2021 | Book Chapter | IST-REx-ID: 14987
Lampert C. 2021.Zero-Shot Learning. In: Computer Vision. , 1395–1397.
View | DOI
 
[109]
2020 | Preprint | IST-REx-ID: 8063 | OA
Anciukevicius T, Lampert C, Henderson PM. Object-centric image generation with factored depths, locations, and appearances. arXiv, 2004.00642.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[108]
2020 | Conference Paper | IST-REx-ID: 8188 | OA
Henderson PM, Lampert C. 2020. Unsupervised object-centric video generation and decomposition in 3D. 34th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems vol. 33, 3106–3117.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[107]
2020 | Conference Paper | IST-REx-ID: 7936 | OA
Royer A, Lampert C. 2020. Localizing grouped instances for efficient detection in low-resource scenarios. IEEE Winter Conference on Applications of Computer Vision. WACV: Winter Conference on Applications of Computer Vision, 1716–1725.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[106]
2020 | Conference Paper | IST-REx-ID: 7937 | OA
Royer A, Lampert C. 2020. A flexible selection scheme for minimum-effort transfer learning. 2020 IEEE Winter Conference on Applications of Computer Vision. WACV: Winter Conference on Applications of Computer Vision, 2180–2189.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[105]
2020 | Conference Paper | IST-REx-ID: 7481 | OA
Phuong M, Lampert C. 2020. Functional vs. parametric equivalence of ReLU networks. 8th International Conference on Learning Representations. ICLR: International Conference on Learning Representations.
[Published Version] View | Files available
 
[104]
2020 | Conference Paper | IST-REx-ID: 8724 | OA
Konstantinov NH, Frantar E, Alistarh D-A, Lampert C. 2020. On the sample complexity of adversarial multi-source PAC learning. Proceedings of the 37th International Conference on Machine Learning. ICML: International Conference on Machine Learning vol. 119, 5416–5425.
[Published Version] View | Files available | arXiv
 
[103]
2020 | Conference Paper | IST-REx-ID: 8186 | OA
Henderson PM, Tsiminaki V, Lampert C. 2020. Leveraging 2D data to learn textured 3D mesh generation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. CVPR: Conference on Computer Vision and Pattern Recognition, 7498–7507.
[Submitted Version] View | Files available | DOI | Download Submitted Version (ext.) | arXiv
 
[102]
2020 | Journal Article | IST-REx-ID: 6944 | OA
Sun R, Lampert C. 2020. KS(conf): A light-weight test if a multiclass classifier operates outside of its specifications. International Journal of Computer Vision. 128(4), 970–995.
[Published Version] View | Files available | DOI | WoS
 
[101]
2019 | Book (Editor) | IST-REx-ID: 7171
Kersting K, Lampert C, Rothkopf C eds. 2019. Wie Maschinen Lernen: Künstliche Intelligenz Verständlich Erklärt 1st ed., Wiesbaden: Springer Nature, XIV, 245p.
View | Files available | DOI
 
[100]
2019 | Conference Paper | IST-REx-ID: 6942 | OA
Ashok P, Brázdil T, Chatterjee K, Křetínský J, Lampert C, Toman V. 2019. Strategy representation by decision trees with linear classifiers. 16th International Conference on Quantitative Evaluation of Systems. QEST: Quantitative Evaluation of Systems, LNCS, vol. 11785, 109–128.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[99]
2019 | Journal Article | IST-REx-ID: 6554 | OA
Xian Y, Lampert C, Schiele B, Akata Z. 2019. Zero-shot learning - A comprehensive evaluation of the good, the bad and the ugly. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(9), 2251–2265.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[98]
2019 | Conference Paper | IST-REx-ID: 7479 | OA
Phuong M, Lampert C. 2019. Distillation-based training for multi-exit architectures. IEEE International Conference on Computer Vision. ICCV: International Conference on Computer Vision vol. 2019–October, 1355–1364.
[Submitted Version] View | Files available | DOI | WoS
 
[97]
2019 | Conference Paper | IST-REx-ID: 7640 | OA
Kolesnikov A, Kuznetsova A, Lampert C, Ferrari V. 2019. Detecting visual relationships using box attention. Proceedings of the 2019 International Conference on Computer Vision Workshop. ICCVW: International Conference on Computer Vision Workshop, 1749–1753.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[96]
2019 | Conference Paper | IST-REx-ID: 6569 | OA
Phuong M, Lampert C. 2019. Towards understanding knowledge distillation. Proceedings of the 36th International Conference on Machine Learning. ICML: International Conference on Machine Learning vol. 97, 5142–5151.
[Published Version] View | Files available
 
[95]
2019 | Conference Paper | IST-REx-ID: 6590 | OA
Konstantinov NH, Lampert C. 2019. Robust learning from untrusted sources. Proceedings of the 36th International Conference on Machine Learning. ICML: International Conference on Machine Learning vol. 97, 3488–3498.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[94]
2019 | Conference Paper | IST-REx-ID: 6482 | OA
Sun R, Lampert C. 2019. KS(conf): A light-weight test if a ConvNet operates outside of Its specifications. GCPR: Conference on Pattern Recognition, LNCS, vol. 11269, 244–259.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[93]
2018 | Journal Article | IST-REx-ID: 321 | OA
Darrell T, Lampert C, Sebe N, Wu Y, Yan Y. 2018. Guest editors’ introduction to the special section on learning with Shared information for computer vision and multimedia analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(5), 1029–1031.
[Published Version] View | Files available | DOI | WoS
 
[92]
2018 | Conference Paper | IST-REx-ID: 10882 | OA
Uijlings J, Konyushkova K, Lampert C, Ferrari V. 2018. Learning intelligent dialogs for bounding box annotation. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. CVF: Conference on Computer Vision and Pattern Recognition, 9175–9184.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[91]
2018 | Conference Paper | IST-REx-ID: 6012 | OA
Sahoo S, Lampert C, Martius GS. 2018. Learning equations for extrapolation and control. Proceedings of the 35th International Conference on Machine Learning. ICML: International Conference on Machine Learning vol. 80, 4442–4450.
[Preprint] View | Files available | Download Preprint (ext.) | WoS | arXiv
 
[90]
2018 | Conference Paper | IST-REx-ID: 6011 | OA
Kuzborskij I, Lampert C. 2018. Data-dependent stability of stochastic gradient descent. Proceedings of the 35 th International Conference on Machine Learning. ICML: International Conference on Machine Learning vol. 80, 2815–2824.
[Preprint] View | Download Preprint (ext.) | WoS | arXiv
 
[89]
2017 | Conference Paper | IST-REx-ID: 6841 | OA
Martius GS, Lampert C. 2017. Extrapolation and learning equations. 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings. ICLR: International Conference on Learning Representations.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[88]
2017 | Conference Paper | IST-REx-ID: 750
Pielorz J, Prandtstetter M, Straub M, Lampert C. 2017. Optimal geospatial volunteer allocation needs realistic distances. 2017 IEEE International Conference on Big Data. Big Data, 3760–3763.
View | DOI
 
[87]
2017 | Conference Paper | IST-REx-ID: 1000 | OA
Kolesnikov A, Lampert C. 2017. PixelCNN models with auxiliary variables for natural image modeling. 34th International Conference on Machine Learning. ICML: International Conference on Machine Learning vol. 70, 1905–1914.
[Submitted Version] View | Download Submitted Version (ext.) | WoS | arXiv
 
[86]
2017 | Conference Paper | IST-REx-ID: 998 | OA
Rebuffi SA, Kolesnikov A, Sperl G, Lampert C. 2017. iCaRL: Incremental classifier and representation learning. CVPR: Computer Vision and Pattern Recognition vol. 2017, 5533–5542.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
[85]
2017 | Conference Paper | IST-REx-ID: 911 | OA
Royer A, Kolesnikov A, Lampert C. 2017. Probabilistic image colorization. BMVC: British Machine Vision Conference, 85.1-85.12.
[Published Version] View | Files available | DOI | arXiv
 
[84]
2017 | Conference Paper | IST-REx-ID: 1108 | OA
Zimin A, Lampert C. 2017. Learning theory for conditional risk minimization. AISTATS: Artificial Intelligence and Statistics, PMLR, vol. 54, 213–222.
[Submitted Version] View | Download Submitted Version (ext.) | WoS
 
[83]
2017 | Conference Paper | IST-REx-ID: 999 | OA
Pentina A, Lampert C. 2017. Multi-task learning with labeled and unlabeled tasks. ICML: International Conference on Machine Learning, PMLR, vol. 70, 2807–2816.
[Submitted Version] View | Download Submitted Version (ext.) | WoS
 
[82]
2016 | Conference Paper | IST-REx-ID: 1102 | OA
Kolesnikov A, Lampert C. 2016. Improving weakly-supervised object localization by micro-annotation. Proceedings of the British Machine Vision Conference 2016. BMVC: British Machine Vision Conference vol. 2016–September, 92.1-92.12.
[Published Version] View | DOI | Download Published Version (ext.)
 
[81]
2016 | Conference Paper | IST-REx-ID: 1369 | OA
Kolesnikov A, Lampert C. 2016. Seed, expand and constrain: Three principles for weakly-supervised image segmentation. ECCV: European Conference on Computer Vision, LNCS, vol. 9908, 695–711.
[Preprint] View | DOI | Download Preprint (ext.)
 
[80]
2016 | Conference Paper | IST-REx-ID: 1707
Pielorz J, Lampert C. 2016. Optimal geospatial allocation of volunteers for crisis management. ICT-DM: Information and Communication Technologies for Disaster Management, 7402041.
View | DOI
 
[79]
2015 | Conference Paper | IST-REx-ID: 1425 | OA
Pentina A, Lampert C. 2015. Lifelong learning with non-i.i.d. tasks. NIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 2015, 1540–1548.
View | Download None (ext.)
 
[78]
2015 | Conference Paper | IST-REx-ID: 1859 | OA
Shah N, Kolmogorov V, Lampert C. 2015. A multi-plane block-coordinate Frank-Wolfe algorithm for training structural SVMs with a costly max-oracle. CVPR: Computer Vision and Pattern Recognition, 2737–2745.
[Preprint] View | DOI | Download Preprint (ext.)
 
[77]
2015 | Conference Paper | IST-REx-ID: 1860 | OA
Royer A, Lampert C. 2015. Classifier adaptation at prediction time. CVPR: Computer Vision and Pattern Recognition, 1401–1409.
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[76]
2015 | Conference Paper | IST-REx-ID: 1858 | OA
Lampert C. 2015. Predicting the future behavior of a time-varying probability distribution. CVPR: Computer Vision and Pattern Recognition, 942–950.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[75]
2015 | Conference Paper | IST-REx-ID: 1857 | OA
Pentina A, Sharmanska V, Lampert C. 2015. Curriculum learning of multiple tasks. CVPR: Computer Vision and Pattern Recognition, 5492–5500.
[Preprint] View | DOI | Download Preprint (ext.)
 
[74]
2014 | Book Chapter | IST-REx-ID: 1829
Muelling K, Kroemer O, Lampert C, Schölkopf B. 2014.Movement templates for learning of hitting and batting. In: Learning Motor Skills. Springer Tracts in Advanced Robotics, vol. 97, 69–82.
View | DOI
 
[73]
2014 | Conference Paper | IST-REx-ID: 2033 | OA
Hernandez Lobato D, Sharmanska V, Kersting K, Lampert C, Quadrianto N. 2014. Mind the nuisance: Gaussian process classification using privileged noise. Advances in Neural Information Processing Systems. NIPS: Neural Information Processing Systems vol. 1, 837–845.
[Submitted Version] View | Download Submitted Version (ext.)
 
[72]
2014 | Conference Paper | IST-REx-ID: 2171 | OA
Kolesnikov A, Guillaumin M, Ferrari V, Lampert C. 2014. Closed-form approximate CRF training for scalable image segmentation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ECCV: European Conference on Computer Vision, LNCS, vol. 8691, 550–565.
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[71]
2014 | Conference Paper | IST-REx-ID: 2173 | OA
Khamis S, Lampert C. 2014. CoConut: Co-classification with output space regularization. Proceedings of the British Machine Vision Conference 2014. BMVC: British Machine Vision Conference.
[Published Version] View | Files available
 
[70]
2014 | Conference Paper | IST-REx-ID: 2172
Sydorov V, Sakurada M, Lampert C. 2014. Deep Fisher Kernels – End to end learning of the Fisher Kernel GMM parameters. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR: Computer Vision and Pattern Recognition, 1402–1409.
View | DOI
 
[69]
2014 | Conference Paper | IST-REx-ID: 2160 | OA
Pentina A, Lampert C. 2014. A PAC-Bayesian bound for Lifelong Learning. ICML: International Conference on Machine Learning vol. 32, 991–999.
[Submitted Version] View | Download Submitted Version (ext.)
 
[68]
2013 | Conference Paper | IST-REx-ID: 2294 | OA
Kazmar T, Kvon E, Stark A, Lampert C. 2013. Drosophila Embryo Stage Annotation using Label Propagation. ICCV: International Conference on Computer Vision.
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[67]
2013 | Conference Paper | IST-REx-ID: 2293 | OA
Sharmanska V, Quadrianto N, Lampert C. 2013. Learning to rank using privileged information. ICCV: International Conference on Computer Vision, 825–832.
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[66]
2013 | Journal Article | IST-REx-ID: 2516
Lampert C, Nickisch H, Harmeling S. 2013. Attribute-based classification for zero-shot learning of object categories. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(3), 453–465.
View | DOI
 
[65]
2013 | Conference Paper | IST-REx-ID: 2901 | OA
Chen C, Kolmogorov V, Yan Z, Metaxas D, Lampert C. 2013. Computing the M most probable modes of a graphical model. AISTATS: Conference on Uncertainty in Artificial Intelligence, JMLR: W&CP, vol. 31, 161–169.
View | Download None (ext.)
 
[64]
2013 | Conference Paper | IST-REx-ID: 2948 | OA
Tommasi T, Quadrianto N, Caputo B, Lampert C. 2013. Beyond dataset bias: Multi-task unaligned shared knowledge transfer. 7724, 1–15.
[Submitted Version] View | Files available | DOI
 
[63]
2013 | Encyclopedia Article | IST-REx-ID: 3321
Quadrianto N, Lampert C. 2013.Kernel based learning. In: Encyclopedia of Systems Biology. vol. 3, 1069–1069.
View | DOI
 
[62]
2012 | Conference Paper | IST-REx-ID: 2825
Lampert C. 2012. Dynamic pruning of factor graphs for maximum marginal prediction. NIPS: Neural Information Processing Systems vol. 1, 82–90.
View
 
[61]
2012 | Journal Article | IST-REx-ID: 3164
Blaschko M, Lampert C. 2012. Guest editorial: Special issue on structured prediction and inference. International Journal of Computer Vision. 99(3), 257–258.
View | DOI
 
[60]
2012 | Conference Paper | IST-REx-ID: 3125 | OA
Sharmanska V, Quadrianto N, Lampert C. 2012. Augmented attribute representations. ECCV: European Conference on Computer Vision, LNCS, vol. 7576, 242–255.
[Submitted Version] View | Files available | DOI
 
[59]
2012 | Conference Paper | IST-REx-ID: 3126
Müller A, Nowozin S, Lampert C. 2012. Information theoretic clustering using minimal spanning trees. DAGM: German Association For Pattern Recognition, LNCS, vol. 7476, 205–215.
View | DOI
 
[58]
2012 | Journal Article | IST-REx-ID: 3248 | OA
Lampert C, Peters J. 2012. Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components. Journal of Real-Time Image Processing. 7(1), 31–41.
[Submitted Version] View | Files available | DOI
 
[57]
2012 | Conference Paper | IST-REx-ID: 3124 | OA
Korc F, Kolmogorov V, Lampert C. 2012. Approximating marginals using discrete energy minimization. ICML: International Conference on Machine Learning, Inferning 2012, .
[Submitted Version] View | Files available
 
[56]
2012 | Technical Report | IST-REx-ID: 5396 | OA
Korc F, Kolmogorov V, Lampert C. 2012. Approximating marginals using discrete energy minimization, IST Austria, 13p.
[Published Version] View | Files available | DOI
 
[55]
2012 | Conference Paper | IST-REx-ID: 2915
Kroemer O, Lampert C, Peters J. 2012. Multi-modal learning for dynamic tactile sensing
View
 
[54]
2012 | Conference Paper | IST-REx-ID: 3127 | OA
Quadrianto N, Lampert C, Chen C. 2012. The most persistent soft-clique in a set of sampled graphs. Proceedings of the 29th International Conference on Machine Learning. ICML: International Conference on Machine Learning, 211–218.
[Preprint] View | Download Preprint (ext.)
 
[53]
2011 | Conference Paper | IST-REx-ID: 3337
Wang Z, Lampert C, Mülling K, Schölkopf B, Peters J. 2011. Learning anticipation policies for robot table tennis. IROS: RSJ International Conference on Intelligent Robots and Systems, 332–337.
View | DOI
 
[52]
2011 | Journal Article | IST-REx-ID: 3389
Blaschko M, Shelton J, Bartels A, Lampert C, Gretton A. 2011. Semi supervised kernel canonical correlation analysis with application to human fMRI. Pattern Recognition Letters. 32(11), 1572–1583.
View | DOI
 
[51]
2011 | Journal Article | IST-REx-ID: 3382
Kroemer O, Lampert C, Peters J. 2011. Learning dynamic tactile sensing with robust vision based training. IEEE Transactions on Robotics. 27(3), 545–557.
View | DOI
 
[50]
2011 | Technical Report | IST-REx-ID: 5386 | OA
Chen C, Freedman D, Lampert C. 2011. Enforcing topological constraints in random field image segmentation, IST Austria, 69p.
[Published Version] View | Files available | DOI
 
[49]
2011 | Conference Paper | IST-REx-ID: 3336
Chen C, Freedman D, Lampert C. 2011. Enforcing topological constraints in random field image segmentation. CVPR: Computer Vision and Pattern Recognition. CVPR: Conference on Computer Vision and Pattern Recognition, 2089–2096.
View | Files available | DOI
 
[48]
2011 | Conference Paper | IST-REx-ID: 3163
Lampert C. 2011. Maximum margin multi-label structured prediction. NIPS: Neural Information Processing Systems.
View | Files available
 
[47]
2011 | Conference Poster | IST-REx-ID: 3322
Lampert C. 2011. Maximum margin multi label structured prediction, Neural Information Processing Systems Foundation,p.
View | Files available
 
[46]
2011 | Journal Article | IST-REx-ID: 3320 | OA
Nowozin S, Lampert C. 2011. Structured learning and prediction in computer vision. Foundations and Trends in Computer Graphics and Vision. 6(3–4), 185–365.
[Published Version] View | Files available | DOI
 
[45]
2011 | Conference Paper | IST-REx-ID: 3319
Quadrianto N, Lampert C. 2011. Learning multi-view neighborhood preserving projections. ICML: International Conference on Machine Learning, 425–432.
View
 
[44]
2010 | Journal Article | IST-REx-ID: 3686
Nowozin S, Lampert C. 2010. Global interactions in random field models: A potential function ensuring connectedness. SIAM Journal on Imaging Sciences. 3(4 (Special Section on Optimization in Imaging Sciences)), 1048–1074.
View | DOI
 
[43]
2010 | Conference Paper | IST-REx-ID: 3682
Tang K, Tappen M, Sukthankar R, Lampert C. 2010. Optimizing one-shot recognition with micro-set learning. CVPR: Computer Vision and Pattern Recognition, 3027–3034.
View | DOI
 
[42]
2010 | Conference Paper | IST-REx-ID: 3702
Kober J, Mülling K, Krömer O, Lampert C, Schölkopf B, Peters J. 2010. Movement templates for learning of hitting and batting. ICRA: International Conference on Robotics and Automation, 853–858.
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[41]
2010 | Conference Paper | IST-REx-ID: 3794
Lampert C, Krömer O. 2010. Weakly-paired maximum covariance analysis for multimodal dimensionality reduction and transfer learning. ECCV: European Conference on Computer Vision, LNCS, vol. 6312, 566–579.
View | DOI | Download None (ext.)
 
[40]
2010 | Conference Paper | IST-REx-ID: 3676
Wanke J, Ulges A, Lampert C, Breuel T. 2010. Topic models for semantic video compression. MIR: Multimedia Information Retrieval, 275–284.
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[39]
2010 | Journal Article | IST-REx-ID: 3697
Tuytelaars T, Lampert C, Blaschko M, Buntine W. 2010. Unsupervised object discovery: A comparison. International Journal of Computer Vision. 88(2), 284–302.
View | DOI
 
[38]
2010 | Conference Paper | IST-REx-ID: 3713
Lampert C. 2010. An efficient divide-and-conquer cascade for nonlinear object detection. CVPR: Computer Vision and Pattern Recognition, 1022–1029.
View | DOI
 
[37]
2010 | Conference Paper | IST-REx-ID: 3793 | OA
Nowozin S, Gehler P, Lampert C. 2010. On parameter learning in CRF-based approaches to object class image segmentation. ECCV: European Conference on Computer Vision, LNCS, vol. 6316, 98–111.
[Submitted Version] View | Files available | DOI
 
[36]
2009 | Conference Poster | IST-REx-ID: 3699
Blaschko M, Lampert C, Bartels A. 2009. Semi-supervised analysis of human fMRI data, Berlin Institute of Technology,p.
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[35]
2009 | Conference Paper | IST-REx-ID: 3703
Blaschko M, Lampert C. 2009. Object localization with global and local context kernels. BMVC: British Machine Vision Conference, Proceedings of the BMVC, , 1–11.
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[34]
2009 | Conference Paper | IST-REx-ID: 3704
Lampert C, Nickisch H, Harmeling S. 2009. Learning to detect unseen object classes by between-class attribute transfer. CVPR: Computer Vision and Pattern Recognition, 951–958.
View | DOI
 
[33]
2009 | Conference Paper | IST-REx-ID: 3715
Lampert C, Peters J. 2009. Active structured learning for high-speed object detection. DAGM: German Association For Pattern Recognition, LNCS, vol. 5748, 221–231.
View | DOI
 
[32]
2009 | Conference Poster | IST-REx-ID: 3717
Lampert C, Peters J. 2009. A high-speed object tracker from off-the-shelf components, IEEE,p.
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[31]
2009 | Journal Article | IST-REx-ID: 3696
Lampert C, Blaschko M. 2009. Structured prediction by joint kernel support estimation. Machine Learning. 77(2–3), 249–269.
View | DOI
 
[30]
2009 | Conference Paper | IST-REx-ID: 3690
Dhillon P, Nowozin S, Lampert C. 2009. Combining appearance and motion for human action classification in videos. CVPR: Computer Vision and Pattern Recognition, 22–29.
View | DOI
 
[29]
2009 | Journal Article | IST-REx-ID: 3710
Lampert C, Blaschko M, Hofmann T. 2009. Efficient subwindow search: A branch and bound framework for object localization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 31(12), 2129–2142.
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[28]
2009 | Conference Paper | IST-REx-ID: 3711
Dhillon P, Nowozin S, Lampert C. 2009. Combining appearance and motion for human action classification in videos. CVPR: Computer Vision and Pattern Recognition, 22–29.
View | DOI | Download (ext.)
 
[27]
2009 | Book | IST-REx-ID: 3707
Lampert C. 2009. Kernel Methods in Computer Vision, now publishers, 112p.
View | DOI
 
[26]
2009 | Conference Paper | IST-REx-ID: 3708
Nowozin S, Lampert C. 2009. Global connectivity potentials for random field models. CVPR: Computer Vision and Pattern Recognition, 818–825.
View | DOI
 
[25]
2009 | Conference Paper | IST-REx-ID: 3709
Lampert C. 2009. Detecting objects in large image collections and videos by efficient subimage retrieval. ICCV: International Conference on Computer Vision, 987–994.
View | DOI
 
[24]
2008 | Conference Paper | IST-REx-ID: 3705
Blaschko M, Lampert C. 2008. Learning to localize objects with structured output regression. ECCV: European Conference on Computer Vision, LNCS, vol. 5302, 2–15.
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[23]
2008 | Conference Paper | IST-REx-ID: 3700
Lampert C. 2008. Partitioning of image datasets using discriminative context information. CVPR: Computer Vision and Pattern Recognition, 1–8.
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[22]
2008 | Conference Paper | IST-REx-ID: 3716
Lampert C, Blaschko M. 2008. A multiple kernel learning approach to joint multi-class object detection. DAGM: German Association For Pattern Recognition, LNCS, vol. 5096, 31–40.
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[21]
2008 | Conference Paper | IST-REx-ID: 3714
Lampert C, Blaschko M, Hofmann T. 2008. Beyond sliding windows: Object localization by efficient subwindow search. CVPR: Computer Vision and Pattern Recognition, 1–8.
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[20]
2008 | Conference Paper | IST-REx-ID: 3698
Blaschko M, Lampert C, Gretton A. 2008. Semi-supervised Laplacian regularization of kernel canonical correlation analysis. ECML: European Conference on Machine Learning, LNCS, vol. 5211, 133–145.
View | DOI
 
[19]
2008 | Conference Paper | IST-REx-ID: 3694
Goldstein M, Lampert C, Reif M, Stahl A, Breuel T. 2008. Bayes optimal DDoS mitigation by adaptive history-based IP filtering. ICN: International Conference on Networking, 174–179.
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[18]
2008 | Conference Paper | IST-REx-ID: 3706
Lampert C, Blaschko M. 2008. Joint kernel support estimation for structured prediction. NIPS SISO: NIPS Workshop on ‘Structured Input - Structured Output’, 1–4.
View | Download (ext.)
 
[17]
2008 | Conference Paper | IST-REx-ID: 3712
Blaschko M, Lampert C. 2008. Correlational spectral clustering. CVPR: Computer Vision and Pattern Recognition, 1–8.
View | DOI
 
[16]
2007 | Report | IST-REx-ID: 3687
Blaschko M, Hofmann T, Lampert C. 2007. Efficient subwindow search for object localization, Max-Planck-Institute for Biological Cybernetics,p.
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[15]
2007 | Conference Paper | IST-REx-ID: 3701
Ulges A, Lampert C, Keysers D, Breuel T. 2007. Optimal dominant motion estimation using adaptive search of transformation space. DAGM: German Association For Pattern Recognition, LNCS, vol. 4713, 204–213.
View | DOI
 
[14]
2007 | Conference Paper | IST-REx-ID: 3681
Ulges A, Lampert C, Keysers D, Breuel T. 2007. Optimal dominant motion estimation using adaptive search of transformation space. DAGM: German Association For Pattern Recognition, LCNS, vol. 4713, 204–213.
View | DOI
 
[13]
2006 | Conference Paper | IST-REx-ID: 3683
Lampert C, Breuel T. 2006. Objective quality measurement for geometric document image restoration. DAS: Document Analysis Systems.
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[12]
2006 | Conference Paper | IST-REx-ID: 3685
Lampert C. 2006. Machine learning for video compression: Macroblock mode decision. ICPR: International Conference on Pattern Recognition, 936–940.
View | DOI
 
[11]
2006 | Conference Paper | IST-REx-ID: 3679
Ali H, Lampert C, Breuel T. 2006. Satellite tracks removal in astronomical images. CIARP: Iberoamerican Congress in Pattern Recognition, LNCS, vol. 4225, 892–901.
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[10]
2006 | Conference Paper | IST-REx-ID: 3677
Ulges A, Lampert C, Keysers D. 2006. Spatiogram-based shot distances for video retrieval. TRECVID Workshop, TRECVID Notebook Papers and Slides, , 1–10.
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[9]
2006 | Conference Paper | IST-REx-ID: 3680
Lampert C, Mei L, Breuel T. 2006. Printing technique classification for document counterfeit detection. CIS: Computational Intelligence and Security vol. 1, 639–634.
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[8]
2006 | Journal Article | IST-REx-ID: 3695 | OA
Lampert C, Wirjadi O. 2006. An optimal non-orthogonal separation of the anisotropic Gaussian convolution filter. IEEE Transactions on Image Processing (TIP). 15(11), 3501–3513.
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[7]
2006 | Conference Paper | IST-REx-ID: 3693
Lampert C, Wirjadi O. 2006. Anisotropic Gaussian filtering using fixed point arithmetic. ICIP: IEEE International Conference on Image Processing, 1565–1568.
View | DOI
 
[6]
2006 | Conference Paper | IST-REx-ID: 3692
Keysers D, Lampert C, Breuel T. 2006. Color image dequantization by constrained diffusion. SPIE Electronic Imaging vol. 6058.
View | DOI
 
[5]
2005 | Conference Paper | IST-REx-ID: 3689
Ulges A, Lampert C, Breuel T. 2005. Document image dewarping using robust estimation of curled text lines. ICDAR: International Conference on Document Analysis and Recognition, Document Analysis and Recognition, vol. 2, 1001–1005.
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[4]
2005 | Conference Paper | IST-REx-ID: 3684
Lampert C, Braun T, Ulges A, Keysers D, Breuel T. 2005. Oblivious document capture and real-time retrieval. CBDAR: Camera Based Document Analysis and Recognition , 79–86.
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[3]
2005 | Journal Article | IST-REx-ID: 3691
Lampert C. 2005. Boundary regularity of admissible operators. Publicacions Matemàtiques. 49(1), 179–195.
View | DOI
 
[2]
2004 | Conference Paper | IST-REx-ID: 3688
Ulges A, Lampert C, Breuel T. 2004. Document capture using stereo vision. DocEng: ACM Symposium on Document Engineering, 198–200.
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[1]
2003 | Thesis | IST-REx-ID: 3678
Lampert C. 2003. The Neumann operator in strictly pseudoconvex domains with weighted Bergman metric . Universität Bonn, Fachbibliothek Mathematik.
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