Christoph Lampert

Lampert Group

125 Publications

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[125]
2023 | Conference Paper | IST-REx-ID: 13053 | OA
Peste, Elena-Alexandra, Adrian Vladu, Eldar Kurtic, Christoph Lampert, and Dan-Adrian Alistarh. “CrAM: A Compression-Aware Minimizer.” In 11th International Conference on Learning Representations , n.d.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[124]
2023 | Conference Paper | IST-REx-ID: 14410
Tomaszewska, Paulina, and Christoph Lampert. “On the Implementation of Baselines and Lightweight Conditional Model Extrapolation (LIMES) under Class-Prior Shift.” In International Workshop on Reproducible Research in Pattern Recognition, 14068:67–73. Springer Nature, 2023. https://doi.org/10.1007/978-3-031-40773-4_6.
View | DOI
 
[123]
2023 | Conference Paper | IST-REx-ID: 14921 | OA
Súkeník, Peter, Marco Mondelli, and Christoph Lampert. “Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model.” In 37th Annual Conference on Neural Information Processing Systems, n.d.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[122]
2023 | Preprint | IST-REx-ID: 15039 | OA
Prach, Bernd, and Christoph Lampert. “1-Lipschitz Neural Networks Are More Expressive with N-Activations.” ArXiv, n.d. https://doi.org/10.48550/ARXIV.2311.06103.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[121]
2022 | Preprint | IST-REx-ID: 12660 | OA
Scott, Jonathan A, Michelle X Yeo, and Christoph Lampert. “Cross-Client Label Propagation for Transductive Federated Learning.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2210.06434.
[Preprint] View | Files available | DOI | arXiv
 
[120]
2022 | Preprint | IST-REx-ID: 12662 | OA
Súkeník, Peter, and Christoph Lampert. “Generalization in Multi-Objective Machine Learning.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2208.13499.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[119]
2022 | Journal Article | IST-REx-ID: 12495 | OA
Iofinova, Eugenia B, Nikola H Konstantinov, and Christoph Lampert. “FLEA: Provably Robust Fair Multisource Learning from Unreliable Training Data.” Transactions on Machine Learning Research. ML Research Press, 2022.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[118]
2022 | Conference Paper | IST-REx-ID: 11839 | OA
Prach, Bernd, and Christoph Lampert. “Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks.” In Computer Vision – ECCV 2022, 13681:350–65. Springer Nature, 2022. https://doi.org/10.1007/978-3-031-19803-8_21.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[117]
2022 | Conference Paper | IST-REx-ID: 10752
Lampert, Jasmin, and Christoph Lampert. “Overcoming Rare-Language Discrimination in Multi-Lingual Sentiment Analysis.” In 2021 IEEE International Conference on Big Data, 5185–92. IEEE, 2022. https://doi.org/10.1109/bigdata52589.2021.9672003.
View | DOI | WoS
 
[116]
2022 | Conference Paper | IST-REx-ID: 12161 | OA
Tomaszewska, Paulina, and Christoph Lampert. “Lightweight Conditional Model Extrapolation for Streaming Data under Class-Prior Shift.” In 26th International Conference on Pattern Recognition, 2022:2128–34. Institute of Electrical and Electronics Engineers, 2022. https://doi.org/10.1109/icpr56361.2022.9956195.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[115]
2022 | Journal Article | IST-REx-ID: 10802 | OA
Konstantinov, Nikola H, and Christoph Lampert. “Fairness-Aware PAC Learning from Corrupted Data.” Journal of Machine Learning Research. ML Research Press, 2022.
[Published Version] View | Files available | arXiv
 
[114]
2022 | Conference Paper | IST-REx-ID: 13241 | OA
Konstantinov, Nikola H, and Christoph Lampert. “On the Impossibility of Fairness-Aware Learning from Corrupted Data.” In Proceedings of Machine Learning Research, 171:59–83. ML Research Press, 2022.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[113]
2021 | Conference Paper | IST-REx-ID: 9210 | OA
Volhejn, Vaclav, and Christoph Lampert. “Does SGD Implicitly Optimize for Smoothness?” In 42nd German Conference on Pattern Recognition, 12544:246–59. LNCS. Springer, 2021. https://doi.org/10.1007/978-3-030-71278-5_18.
[Submitted Version] View | Files available | DOI
 
[112]
2021 | Conference Paper | IST-REx-ID: 9416 | OA
Phuong, Mary, and Christoph Lampert. “The Inductive Bias of ReLU Networks on Orthogonally Separable Data.” In 9th International Conference on Learning Representations, 2021.
[Published Version] View | Files available | Download Published Version (ext.)
 
[111]
2021 | Preprint | IST-REx-ID: 10803 | OA
Konstantinov, Nikola H, and Christoph Lampert. “Fairness through Regularization for Learning to Rank.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2102.05996.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[110]
2021 | Book Chapter | IST-REx-ID: 14987
Lampert, Christoph. “Zero-Shot Learning.” In Computer Vision, edited by Katsushi Ikeuchi, 2nd ed., 1395–97. Cham: Springer, 2021. https://doi.org/10.1007/978-3-030-63416-2_874.
View | DOI
 
[109]
2020 | Preprint | IST-REx-ID: 8063 | OA
Anciukevicius, Titas, Christoph Lampert, and Paul M Henderson. “Object-Centric Image Generation with Factored Depths, Locations, and Appearances.” ArXiv, n.d.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[108]
2020 | Conference Paper | IST-REx-ID: 8188 | OA
Henderson, Paul M, and Christoph Lampert. “Unsupervised Object-Centric Video Generation and Decomposition in 3D.” In 34th Conference on Neural Information Processing Systems, 33:3106–3117. Curran Associates, 2020.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[107]
2020 | Conference Paper | IST-REx-ID: 7936 | OA
Royer, Amélie, and Christoph Lampert. “Localizing Grouped Instances for Efficient Detection in Low-Resource Scenarios.” In IEEE Winter Conference on Applications of Computer Vision. IEEE, 2020. https://doi.org/10.1109/WACV45572.2020.9093288.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[106]
2020 | Conference Paper | IST-REx-ID: 7937 | OA
Royer, Amélie, and Christoph Lampert. “A Flexible Selection Scheme for Minimum-Effort Transfer Learning.” In 2020 IEEE Winter Conference on Applications of Computer Vision. IEEE, 2020. https://doi.org/10.1109/WACV45572.2020.9093635.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[105]
2020 | Conference Paper | IST-REx-ID: 7481 | OA
Phuong, Mary, and Christoph Lampert. “Functional vs. Parametric Equivalence of ReLU Networks.” In 8th International Conference on Learning Representations, 2020.
[Published Version] View | Files available
 
[104]
2020 | Conference Paper | IST-REx-ID: 8724 | OA
Konstantinov, Nikola H, Elias Frantar, Dan-Adrian Alistarh, and Christoph Lampert. “On the Sample Complexity of Adversarial Multi-Source PAC Learning.” In Proceedings of the 37th International Conference on Machine Learning, 119:5416–25. ML Research Press, 2020.
[Published Version] View | Files available | arXiv
 
[103]
2020 | Conference Paper | IST-REx-ID: 8186 | OA
Henderson, Paul M, Vagia Tsiminaki, and Christoph Lampert. “Leveraging 2D Data to Learn Textured 3D Mesh Generation.” In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 7498–7507. IEEE, 2020. https://doi.org/10.1109/CVPR42600.2020.00752.
[Submitted Version] View | Files available | DOI | Download Submitted Version (ext.) | arXiv
 
[102]
2020 | Journal Article | IST-REx-ID: 6944 | OA
Sun, Rémy, and Christoph Lampert. “KS(Conf): A Light-Weight Test If a Multiclass Classifier Operates Outside of Its Specifications.” International Journal of Computer Vision. Springer Nature, 2020. https://doi.org/10.1007/s11263-019-01232-x.
[Published Version] View | Files available | DOI | WoS
 
[101]
2019 | Book (Editor) | IST-REx-ID: 7171
Kersting, Kristian, Christoph Lampert, and Constantin Rothkopf, eds. Wie Maschinen Lernen: Künstliche Intelligenz Verständlich Erklärt. 1st ed. Wiesbaden: Springer Nature, 2019. https://doi.org/10.1007/978-3-658-26763-6.
View | Files available | DOI
 
[100]
2019 | Conference Paper | IST-REx-ID: 6942 | OA
Ashok, Pranav, Tomáš Brázdil, Krishnendu Chatterjee, Jan Křetínský, Christoph Lampert, and Viktor Toman. “Strategy Representation by Decision Trees with Linear Classifiers.” In 16th International Conference on Quantitative Evaluation of Systems, 11785:109–28. Springer Nature, 2019. https://doi.org/10.1007/978-3-030-30281-8_7.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[99]
2019 | Journal Article | IST-REx-ID: 6554 | OA
Xian, Yongqin, Christoph Lampert, Bernt Schiele, and Zeynep Akata. “Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly.” IEEE Transactions on Pattern Analysis and Machine Intelligence. Institute of Electrical and Electronics Engineers (IEEE), 2019. https://doi.org/10.1109/tpami.2018.2857768.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[98]
2019 | Conference Paper | IST-REx-ID: 7479 | OA
Phuong, Mary, and Christoph Lampert. “Distillation-Based Training for Multi-Exit Architectures.” In IEEE International Conference on Computer Vision, 2019–October:1355–64. IEEE, 2019. https://doi.org/10.1109/ICCV.2019.00144.
[Submitted Version] View | Files available | DOI | WoS
 
[97]
2019 | Conference Paper | IST-REx-ID: 7640 | OA
Kolesnikov, Alexander, Alina Kuznetsova, Christoph Lampert, and Vittorio Ferrari. “Detecting Visual Relationships Using Box Attention.” In Proceedings of the 2019 International Conference on Computer Vision Workshop. IEEE, 2019. https://doi.org/10.1109/ICCVW.2019.00217.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[96]
2019 | Conference Paper | IST-REx-ID: 6569 | OA
Phuong, Mary, and Christoph Lampert. “Towards Understanding Knowledge Distillation.” In Proceedings of the 36th International Conference on Machine Learning, 97:5142–51. ML Research Press, 2019.
[Published Version] View | Files available
 
[95]
2019 | Conference Paper | IST-REx-ID: 6590 | OA
Konstantinov, Nikola H, and Christoph Lampert. “Robust Learning from Untrusted Sources.” In Proceedings of the 36th International Conference on Machine Learning, 97:3488–98. ML Research Press, 2019.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[94]
2019 | Conference Paper | IST-REx-ID: 6482 | OA
Sun, Rémy, and Christoph Lampert. “KS(Conf): A Light-Weight Test If a ConvNet Operates Outside of Its Specifications,” 11269:244–59. Springer Nature, 2019. https://doi.org/10.1007/978-3-030-12939-2_18.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[93]
2018 | Journal Article | IST-REx-ID: 321 | OA
Darrell, Trevor, Christoph Lampert, Nico Sebe, Ying Wu, and Yan Yan. “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. IEEE, 2018. https://doi.org/10.1109/TPAMI.2018.2804998.
[Published Version] View | Files available | DOI | WoS
 
[92]
2018 | Conference Paper | IST-REx-ID: 10882 | OA
Uijlings, Jasper, Ksenia Konyushkova, Christoph Lampert, and Vittorio Ferrari. “Learning Intelligent Dialogs for Bounding Box Annotation.” In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 9175–84. IEEE, 2018. https://doi.org/10.1109/cvpr.2018.00956.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[91]
2018 | Conference Paper | IST-REx-ID: 6012 | OA
Sahoo, Subham, Christoph Lampert, and Georg S Martius. “Learning Equations for Extrapolation and Control.” In Proceedings of the 35th International Conference on Machine Learning, 80:4442–50. ML Research Press, 2018.
[Preprint] View | Files available | Download Preprint (ext.) | WoS | arXiv
 
[90]
2018 | Conference Paper | IST-REx-ID: 6011 | OA
Kuzborskij, Ilja, and Christoph Lampert. “Data-Dependent Stability of Stochastic Gradient Descent.” In Proceedings of the 35 Th International Conference on Machine Learning, 80:2815–24. ML Research Press, 2018.
[Preprint] View | Download Preprint (ext.) | WoS | arXiv
 
[89]
2017 | Conference Paper | IST-REx-ID: 6841 | OA
Martius, Georg S, and Christoph Lampert. “Extrapolation and Learning Equations.” In 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings. International Conference on Learning Representations, 2017.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[88]
2017 | Conference Paper | IST-REx-ID: 750
Pielorz, Jasmin, Matthias Prandtstetter, Markus Straub, and Christoph Lampert. “Optimal Geospatial Volunteer Allocation Needs Realistic Distances.” In 2017 IEEE International Conference on Big Data, 3760–63. IEEE, 2017. https://doi.org/10.1109/BigData.2017.8258375.
View | DOI
 
[87]
2017 | Conference Paper | IST-REx-ID: 1000 | OA
Kolesnikov, Alexander, and Christoph Lampert. “PixelCNN Models with Auxiliary Variables for Natural Image Modeling.” In 34th International Conference on Machine Learning, 70:1905–14. JMLR, 2017.
[Submitted Version] View | Download Submitted Version (ext.) | WoS | arXiv
 
[86]
2017 | Conference Paper | IST-REx-ID: 998 | OA
Rebuffi, Sylvestre Alvise, Alexander Kolesnikov, Georg Sperl, and Christoph Lampert. “ICaRL: Incremental Classifier and Representation Learning,” 2017:5533–42. IEEE, 2017. https://doi.org/10.1109/CVPR.2017.587.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
[85]
2017 | Conference Paper | IST-REx-ID: 911 | OA
Royer, Amélie, Alexander Kolesnikov, and Christoph Lampert. “Probabilistic Image Colorization,” 85.1-85.12. BMVA Press, 2017. https://doi.org/10.5244/c.31.85.
[Published Version] View | Files available | DOI | arXiv
 
[84]
2017 | Conference Paper | IST-REx-ID: 1108 | OA
Zimin, Alexander, and Christoph Lampert. “Learning Theory for Conditional Risk Minimization,” 54:213–22. ML Research Press, 2017.
[Submitted Version] View | Download Submitted Version (ext.) | WoS
 
[83]
2017 | Conference Paper | IST-REx-ID: 999 | OA
Pentina, Anastasia, and Christoph Lampert. “Multi-Task Learning with Labeled and Unlabeled Tasks,” 70:2807–16. ML Research Press, 2017.
[Submitted Version] View | Download Submitted Version (ext.) | WoS
 
[82]
2016 | Conference Paper | IST-REx-ID: 1102 | OA
Kolesnikov, Alexander, and Christoph Lampert. “Improving Weakly-Supervised Object Localization by Micro-Annotation.” In Proceedings of the British Machine Vision Conference 2016, 2016–September:92.1-92.12. BMVA Press, 2016. https://doi.org/10.5244/C.30.92.
[Published Version] View | DOI | Download Published Version (ext.)
 
[81]
2016 | Conference Paper | IST-REx-ID: 1369 | OA
Kolesnikov, Alexander, and Christoph Lampert. “Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation,” 9908:695–711. Springer, 2016. https://doi.org/10.1007/978-3-319-46493-0_42.
[Preprint] View | DOI | Download Preprint (ext.)
 
[80]
2016 | Conference Paper | IST-REx-ID: 1707
Pielorz, Jasmin, and Christoph Lampert. “Optimal Geospatial Allocation of Volunteers for Crisis Management.” IEEE, 2016. https://doi.org/10.1109/ICT-DM.2015.7402041.
View | DOI
 
[79]
2015 | Conference Paper | IST-REx-ID: 1425 | OA
Pentina, Anastasia, and Christoph Lampert. “Lifelong Learning with Non-i.i.d. Tasks,” 2015:1540–48. Neural Information Processing Systems, 2015.
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[78]
2015 | Conference Paper | IST-REx-ID: 1859 | OA
Shah, Neel, Vladimir Kolmogorov, and Christoph Lampert. “A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Training Structural SVMs with a Costly Max-Oracle,” 2737–45. IEEE, 2015. https://doi.org/10.1109/CVPR.2015.7298890.
[Preprint] View | DOI | Download Preprint (ext.)
 
[77]
2015 | Conference Paper | IST-REx-ID: 1860 | OA
Royer, Amélie, and Christoph Lampert. “Classifier Adaptation at Prediction Time,” 1401–9. IEEE, 2015. https://doi.org/10.1109/CVPR.2015.7298746.
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[76]
2015 | Conference Paper | IST-REx-ID: 1858 | OA
Lampert, Christoph. “Predicting the Future Behavior of a Time-Varying Probability Distribution,” 942–50. IEEE, 2015. https://doi.org/10.1109/CVPR.2015.7298696.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[75]
2015 | Conference Paper | IST-REx-ID: 1857 | OA
Pentina, Anastasia, Viktoriia Sharmanska, and Christoph Lampert. “Curriculum Learning of Multiple Tasks,” 5492–5500. IEEE, 2015. https://doi.org/10.1109/CVPR.2015.7299188.
[Preprint] View | DOI | Download Preprint (ext.)
 
[74]
2014 | Book Chapter | IST-REx-ID: 1829
Muelling, Katharina, Oliver Kroemer, Christoph Lampert, and Bernhard Schölkopf. “Movement Templates for Learning of Hitting and Batting.” In Learning Motor Skills, edited by Jens Kober and Jan Peters, 97:69–82. From Algorithms to Robot Experiments. Springer, 2014. https://doi.org/10.1007/978-3-319-03194-1_3.
View | DOI
 
[73]
2014 | Conference Paper | IST-REx-ID: 2033 | OA
Hernandez Lobato, Daniel, Viktoriia Sharmanska, Kristian Kersting, Christoph Lampert, and Novi Quadrianto. “Mind the Nuisance: Gaussian Process Classification Using Privileged Noise.” In Advances in Neural Information Processing Systems, 1:837–45. Neural Information Processing Systems, 2014.
[Submitted Version] View | Download Submitted Version (ext.)
 
[72]
2014 | Conference Paper | IST-REx-ID: 2171 | OA
Kolesnikov, Alexander, Matthieu Guillaumin, Vittorio Ferrari, and Christoph Lampert. “Closed-Form Approximate CRF Training for Scalable Image Segmentation.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), edited by David Fleet, Tomas Pajdla, Bernt Schiele, and Tinne Tuytelaars, 8691:550–65. Springer, 2014. https://doi.org/10.1007/978-3-319-10578-9_36.
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[71]
2014 | Conference Paper | IST-REx-ID: 2173 | OA
Khamis, Sameh, and Christoph Lampert. “CoConut: Co-Classification with Output Space Regularization.” In Proceedings of the British Machine Vision Conference 2014. BMVA Press, 2014.
[Published Version] View | Files available
 
[70]
2014 | Conference Paper | IST-REx-ID: 2172
Sydorov, Vladyslav, Mayu Sakurada, and Christoph Lampert. “Deep Fisher Kernels – End to End Learning of the Fisher Kernel GMM Parameters.” In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1402–9. IEEE, 2014. https://doi.org/10.1109/CVPR.2014.182.
View | DOI
 
[69]
2014 | Conference Paper | IST-REx-ID: 2160 | OA
Pentina, Anastasia, and Christoph Lampert. “A PAC-Bayesian Bound for Lifelong Learning,” 32:991–99. ML Research Press, 2014.
[Submitted Version] View | Download Submitted Version (ext.)
 
[68]
2013 | Conference Paper | IST-REx-ID: 2294 | OA
Kazmar, Tomas, Evgeny Kvon, Alexander Stark, and Christoph Lampert. “Drosophila Embryo Stage Annotation Using Label Propagation.” IEEE, 2013. https://doi.org/10.1109/ICCV.2013.139.
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[67]
2013 | Conference Paper | IST-REx-ID: 2293 | OA
Sharmanska, Viktoriia, Novi Quadrianto, and Christoph Lampert. “Learning to Rank Using Privileged Information,” 825–32. IEEE, 2013. https://doi.org/10.1109/ICCV.2013.107.
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[66]
2013 | Journal Article | IST-REx-ID: 2516
Lampert, Christoph, Hannes Nickisch, and Stefan Harmeling. “Attribute-Based Classification for Zero-Shot Learning of Object Categories.” IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE, 2013. https://doi.org/10.1109/TPAMI.2013.140.
View | DOI
 
[65]
2013 | Conference Paper | IST-REx-ID: 2901 | OA
Chen, Chao, Vladimir Kolmogorov, Zhu Yan, Dimitris Metaxas, and Christoph Lampert. “Computing the M Most Probable Modes of a Graphical Model,” 31:161–69. JMLR, 2013.
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[64]
2013 | Conference Paper | IST-REx-ID: 2948 | OA
Tommasi, Tatiana, Novi Quadrianto, Barbara Caputo, and Christoph Lampert. “Beyond Dataset Bias: Multi-Task Unaligned Shared Knowledge Transfer.” Lecture Notes in Computer Science. Springer, 2013. https://doi.org/10.1007/978-3-642-37331-2_1.
[Submitted Version] View | Files available | DOI
 
[63]
2013 | Encyclopedia Article | IST-REx-ID: 3321
Quadrianto, Novi, and Christoph Lampert. “Kernel Based Learning.” In Encyclopedia of Systems Biology, edited by Werner Dubitzky, Olaf Wolkenhauer, Kwang Cho, and Hiroki Yokota, 3:1069–1069. Springer, 2013. https://doi.org/10.1007/978-1-4419-9863-7_604.
View | DOI
 
[62]
2012 | Conference Paper | IST-REx-ID: 2825
Lampert, Christoph. “Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction,” 1:82–90. Neural Information Processing Systems, 2012.
View
 
[61]
2012 | Journal Article | IST-REx-ID: 3164
Blaschko, Matthew, and Christoph Lampert. “Guest Editorial: Special Issue on Structured Prediction and Inference.” International Journal of Computer Vision. Springer, 2012. https://doi.org/10.1007/s11263-012-0530-y.
View | DOI
 
[60]
2012 | Conference Paper | IST-REx-ID: 3125 | OA
Sharmanska, Viktoriia, Novi Quadrianto, and Christoph Lampert. “Augmented Attribute Representations,” 7576:242–55. Springer, 2012. https://doi.org/10.1007/978-3-642-33715-4_18.
[Submitted Version] View | Files available | DOI
 
[59]
2012 | Conference Paper | IST-REx-ID: 3126
Müller, Andreas, Sebastian Nowozin, and Christoph Lampert. “Information Theoretic Clustering Using Minimal Spanning Trees,” 7476:205–15. Springer, 2012. https://doi.org/10.1007/978-3-642-32717-9_21.
View | DOI
 
[58]
2012 | Journal Article | IST-REx-ID: 3248 | OA
Lampert, Christoph, and Jan Peters. “Real-Time Detection of Colored Objects in Multiple Camera Streams with off-the-Shelf Hardware Components.” Journal of Real-Time Image Processing. Springer, 2012. https://doi.org/10.1007/s11554-010-0168-3.
[Submitted Version] View | Files available | DOI
 
[57]
2012 | Conference Paper | IST-REx-ID: 3124 | OA
Korc, Filip, Vladimir Kolmogorov, and Christoph Lampert. “Approximating Marginals Using Discrete Energy Minimization.” ICML, 2012.
[Submitted Version] View | Files available
 
[56]
2012 | Technical Report | IST-REx-ID: 5396 | OA
Korc, Filip, Vladimir Kolmogorov, and Christoph Lampert. Approximating Marginals Using Discrete Energy Minimization. IST Austria, 2012. https://doi.org/10.15479/AT:IST-2012-0003.
[Published Version] View | Files available | DOI
 
[55]
2012 | Conference Paper | IST-REx-ID: 2915
Kroemer, Oliver, Christoph Lampert, and Jan Peters. “Multi-Modal Learning for Dynamic Tactile Sensing.” Deutsches Zentrum für Luft und Raumfahrt, 2012.
View
 
[54]
2012 | Conference Paper | IST-REx-ID: 3127 | OA
Quadrianto, Novi, Christoph Lampert, and Chao Chen. “The Most Persistent Soft-Clique in a Set of Sampled Graphs.” In Proceedings of the 29th International Conference on Machine Learning, 211–18. ML Research Press, 2012.
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[53]
2011 | Conference Paper | IST-REx-ID: 3337
Wang, Zhikun, Christoph Lampert, Katharina Mülling, Bernhard Schölkopf, and Jan Peters. “Learning Anticipation Policies for Robot Table Tennis,” 332–37. IEEE, 2011. https://doi.org/10.1109/IROS.2011.6094892.
View | DOI
 
[52]
2011 | Journal Article | IST-REx-ID: 3389
Blaschko, Matthew, Jacquelyn Shelton, Andreas Bartels, Christoph Lampert, and Arthur Gretton. “Semi Supervised Kernel Canonical Correlation Analysis with Application to Human FMRI.” Pattern Recognition Letters. Elsevier, 2011. https://doi.org/10.1016/j.patrec.2011.02.011.
View | DOI
 
[51]
2011 | Journal Article | IST-REx-ID: 3382
Kroemer, Oliver, Christoph Lampert, and Jan Peters. “Learning Dynamic Tactile Sensing with Robust Vision Based Training.” IEEE Transactions on Robotics. IEEE, 2011. https://doi.org/10.1109/TRO.2011.2121130.
View | DOI
 
[50]
2011 | Technical Report | IST-REx-ID: 5386 | OA
Chen, Chao, Daniel Freedman, and Christoph Lampert. Enforcing Topological Constraints in Random Field Image Segmentation. IST Austria, 2011. https://doi.org/10.15479/AT:IST-2011-0002.
[Published Version] View | Files available | DOI
 
[49]
2011 | Conference Paper | IST-REx-ID: 3336
Chen, Chao, Daniel Freedman, and Christoph Lampert. “Enforcing Topological Constraints in Random Field Image Segmentation.” In CVPR: Computer Vision and Pattern Recognition, 2089–96. IEEE, 2011. https://doi.org/10.1109/CVPR.2011.5995503.
View | Files available | DOI
 
[48]
2011 | Conference Paper | IST-REx-ID: 3163
Lampert, Christoph. “Maximum Margin Multi-Label Structured Prediction.” Neural Information Processing Systems, 2011.
View | Files available
 
[47]
2011 | Conference Poster | IST-REx-ID: 3322
Lampert, Christoph. Maximum Margin Multi Label Structured Prediction. NIPS: Neural Information Processing Systems. Neural Information Processing Systems Foundation, 2011.
View | Files available
 
[46]
2011 | Journal Article | IST-REx-ID: 3320 | OA
Nowozin, Sebastian, and Christoph Lampert. “Structured Learning and Prediction in Computer Vision.” Foundations and Trends in Computer Graphics and Vision. Now Publishers, 2011. https://doi.org/10.1561/0600000033.
[Published Version] View | Files available | DOI
 
[45]
2011 | Conference Paper | IST-REx-ID: 3319
Quadrianto, Novi, and Christoph Lampert. “Learning Multi-View Neighborhood Preserving Projections,” 425–32. ML Research Press, 2011.
View
 
[44]
2010 | Journal Article | IST-REx-ID: 3686
Nowozin, Sebastian, and Christoph Lampert. “Global Interactions in Random Field Models: A Potential Function Ensuring Connectedness.” SIAM Journal on Imaging Sciences. Society for Industrial and Applied Mathematics , 2010. https://doi.org/10.1137/090752614.
View | DOI
 
[43]
2010 | Conference Paper | IST-REx-ID: 3682
Tang, Kevin, Marshall Tappen, Rahul Sukthankar, and Christoph Lampert. “Optimizing One-Shot Recognition with Micro-Set Learning,” 3027–34. IEEE, 2010. https://doi.org/10.1109/CVPR.2010.5540053.
View | DOI
 
[42]
2010 | Conference Paper | IST-REx-ID: 3702
Kober, Jens, Katharina Mülling, Oliver Krömer, Christoph Lampert, Bernhard Schölkopf, and Jan Peters. “Movement Templates for Learning of Hitting and Batting,” 853–58. IEEE, 2010. https://doi.org/10.1109/ROBOT.2010.5509672.
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[41]
2010 | Conference Paper | IST-REx-ID: 3794
Lampert, Christoph, and Oliver Krömer. “Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer Learning,” 6312:566–79. Springer, 2010. https://doi.org/10.1007/978-3-642-15552-9_41.
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[40]
2010 | Conference Paper | IST-REx-ID: 3676
Wanke, Jörn, Adrian Ulges, Christoph Lampert, and Thomas Breuel. “Topic Models for Semantic Video Compression,” 275–84. ACM, 2010. https://doi.org/10.1145/1743384.1743433.
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[39]
2010 | Journal Article | IST-REx-ID: 3697
Tuytelaars, Tinne, Christoph Lampert, Matthew Blaschko, and Wray Buntine. “Unsupervised Object Discovery: A Comparison.” International Journal of Computer Vision. Springer, 2010. https://doi.org/10.1007/s11263-009-0271-8.
View | DOI
 
[38]
2010 | Conference Paper | IST-REx-ID: 3713
Lampert, Christoph. “An Efficient Divide-and-Conquer Cascade for Nonlinear Object Detection,” 1022–29. IEEE, 2010. https://doi.org/10.1109/CVPR.2010.5540107.
View | DOI
 
[37]
2010 | Conference Paper | IST-REx-ID: 3793 | OA
Nowozin, Sebastian, Peter Gehler, and Christoph Lampert. “On Parameter Learning in CRF-Based Approaches to Object Class Image Segmentation,” 6316:98–111. Springer, 2010. https://doi.org/10.1007/978-3-642-15567-3_8.
[Submitted Version] View | Files available | DOI
 
[36]
2009 | Conference Poster | IST-REx-ID: 3699
Blaschko, Matthew, Christoph Lampert, and Andreas Bartels. Semi-Supervised Analysis of Human FMRI Data. BBCI: Berlin Brain-Computer Interface Workshop - Advances in Neurotechnology. Berlin Institute of Technology, 2009.
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[35]
2009 | Conference Paper | IST-REx-ID: 3703
Blaschko, Matthew, and Christoph Lampert. “Object Localization with Global and Local Context Kernels,” 1–11. BMVA Press, 2009. https://doi.org/10.5244/C.23.63.
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[34]
2009 | Conference Paper | IST-REx-ID: 3704
Lampert, Christoph, Hannes Nickisch, and Stefan Harmeling. “Learning to Detect Unseen Object Classes by Between-Class Attribute Transfer,” 951–58. IEEE, 2009. https://doi.org/10.1109/CVPR.2009.5206594.
View | DOI
 
[33]
2009 | Conference Paper | IST-REx-ID: 3715
Lampert, Christoph, and Jan Peters. “Active Structured Learning for High-Speed Object Detection,” 5748:221–31. Springer, 2009. https://doi.org/10.1007/978-3-642-03798-6_23.
View | DOI
 
[32]
2009 | Conference Poster | IST-REx-ID: 3717
Lampert, Christoph, and Jan Peters. A High-Speed Object Tracker from off-the-Shelf Components. ICCV: International Conference on Computer Vision. IEEE, 2009.
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[31]
2009 | Journal Article | IST-REx-ID: 3696
Lampert, Christoph, and Matthew Blaschko. “Structured Prediction by Joint Kernel Support Estimation.” Machine Learning. Springer, 2009. https://doi.org/10.1007/s10994-009-5111-0.
View | DOI
 
[30]
2009 | Conference Paper | IST-REx-ID: 3690
Dhillon, Paramveer, Sebastian Nowozin, and Christoph Lampert. “Combining Appearance and Motion for Human Action Classification in Videos,” 22–29. IEEE, 2009. https://doi.org/10.1109/CVPRW.2009.5204237.
View | DOI
 
[29]
2009 | Journal Article | IST-REx-ID: 3710
Lampert, Christoph, Matthew Blaschko, and Thomas Hofmann. “Efficient Subwindow Search: A Branch and Bound Framework for Object Localization.” IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE, 2009. https://doi.org/10.1109/TPAMI.2009.144.
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[28]
2009 | Conference Paper | IST-REx-ID: 3711
Dhillon, Paramveer, Sebastian Nowozin, and Christoph Lampert. “Combining Appearance and Motion for Human Action Classification in Videos,” 22–29. IEEE, 2009. https://doi.org/10.1109/CVPRW.2009.5204237.
View | DOI | Download (ext.)
 
[27]
2009 | Book | IST-REx-ID: 3707
Lampert, Christoph. Kernel Methods in Computer Vision. Vol. 4. now publishers, 2009. https://doi.org/10.1561/0600000027.
View | DOI
 
[26]
2009 | Conference Paper | IST-REx-ID: 3708
Nowozin, Sebastian, and Christoph Lampert. “Global Connectivity Potentials for Random Field Models,” 818–25. IEEE, 2009. https://doi.org/10.1109/CVPR.2009.5206567.
View | DOI
 
[25]
2009 | Conference Paper | IST-REx-ID: 3709
Lampert, Christoph. “Detecting Objects in Large Image Collections and Videos by Efficient Subimage Retrieval,” 987–94. IEEE, 2009. https://doi.org/10.1109/ICCV.2009.5459359.
View | DOI
 
[24]
2008 | Conference Paper | IST-REx-ID: 3705
Blaschko, Matthew, and Christoph Lampert. “Learning to Localize Objects with Structured Output Regression,” 5302:2–15. Springer, 2008. https://doi.org/10.1007/978-3-540-88682-2_2.
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[23]
2008 | Conference Paper | IST-REx-ID: 3700
Lampert, Christoph. “Partitioning of Image Datasets Using Discriminative Context Information,” 1–8. IEEE, 2008. https://doi.org/10.1109/CVPR.2008.4587448.
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[22]
2008 | Conference Paper | IST-REx-ID: 3716
Lampert, Christoph, and Matthew Blaschko. “A Multiple Kernel Learning Approach to Joint Multi-Class Object Detection,” 5096:31–40. Springer, 2008. https://doi.org/10.1007/978-3-540-69321-5_4.
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[21]
2008 | Conference Paper | IST-REx-ID: 3714
Lampert, Christoph, Matthew Blaschko, and Thomas Hofmann. “Beyond Sliding Windows: Object Localization by Efficient Subwindow Search,” 1–8. IEEE, 2008. https://doi.org/10.1109/CVPR.2008.4587586.
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[20]
2008 | Conference Paper | IST-REx-ID: 3698
Blaschko, Matthew, Christoph Lampert, and Arthur Gretton. “Semi-Supervised Laplacian Regularization of Kernel Canonical Correlation Analysis,” 5211:133–45. Springer, 2008. https://doi.org/10.1007/978-3-540-87479-9_27.
View | DOI
 
[19]
2008 | Conference Paper | IST-REx-ID: 3694
Goldstein, Markus, Christoph Lampert, Matthias Reif, Armin Stahl, and Thomas Breuel. “Bayes Optimal DDoS Mitigation by Adaptive History-Based IP Filtering,” 174–79. IEEE, 2008. https://doi.org/10.1109/ICN.2008.64.
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[18]
2008 | Conference Paper | IST-REx-ID: 3706
Lampert, Christoph, and Matthew Blaschko. “Joint Kernel Support Estimation for Structured Prediction,” 1–4. Curran Associates, Inc., 2008.
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[17]
2008 | Conference Paper | IST-REx-ID: 3712
Blaschko, Matthew, and Christoph Lampert. “Correlational Spectral Clustering,” 1–8. IEEE, 2008. https://doi.org/10.1109/CVPR.2008.4587353.
View | DOI
 
[16]
2007 | Report | IST-REx-ID: 3687
Blaschko, Matthew, Thomas Hofmann, and Christoph Lampert. Efficient Subwindow Search for Object Localization. Unknown. Max-Planck-Institute for Biological Cybernetics, 2007.
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[15]
2007 | Conference Paper | IST-REx-ID: 3701
Ulges, Adrian, Christoph Lampert, Daniel Keysers, and Thomas Breuel. “Optimal Dominant Motion Estimation Using Adaptive Search of Transformation Space,” 4713:204–13. Springer, 2007. https://doi.org/10.1007/978-3-540-74936-3_21.
View | DOI
 
[14]
2007 | Conference Paper | IST-REx-ID: 3681
Ulges, Adrian, Christoph Lampert, Daniel Keysers, and Thomas Breuel. “Optimal Dominant Motion Estimation Using Adaptive Search of Transformation Space,” 4713:204–13. Springer, 2007. https://doi.org/10.1007/978-3-540-74936-3_21.
View | DOI
 
[13]
2006 | Conference Paper | IST-REx-ID: 3683
Lampert, Christoph, and Thomas Breuel. “Objective Quality Measurement for Geometric Document Image Restoration.” Springer, 2006.
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[12]
2006 | Conference Paper | IST-REx-ID: 3685
Lampert, Christoph. “Machine Learning for Video Compression: Macroblock Mode Decision,” 936–40. IEEE, 2006. https://doi.org/10.1109/ICPR.2006.778.
View | DOI
 
[11]
2006 | Conference Paper | IST-REx-ID: 3679
Ali, Haider, Christoph Lampert, and Thomas Breuel. “Satellite Tracks Removal in Astronomical Images,” 4225:892–901. Springer, 2006. https://doi.org/10.1007/11892755_92.
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[10]
2006 | Conference Paper | IST-REx-ID: 3677
Ulges, Adrian, Christoph Lampert, and Daniel Keysers. “Spatiogram-Based Shot Distances for Video Retrieval,” 1–10. NIST (National Institute of Standards and Technology, US Department of Commerce), 2006.
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[9]
2006 | Conference Paper | IST-REx-ID: 3680
Lampert, Christoph, Lin Mei, and Thomas Breuel. “Printing Technique Classification for Document Counterfeit Detection,” 1:639–634. IEEE, 2006. https://doi.org/10.1109/ICCIAS.2006.294214.
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[8]
2006 | Journal Article | IST-REx-ID: 3695 | OA
Lampert, Christoph, and Oliver Wirjadi. “An Optimal Non-Orthogonal Separation of the Anisotropic Gaussian Convolution Filter.” IEEE Transactions on Image Processing (TIP). IEEE, 2006. https://doi.org/ 10.1109/TIP.2006.877501 .
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[7]
2006 | Conference Paper | IST-REx-ID: 3693
Lampert, Christoph, and Oliver Wirjadi. “Anisotropic Gaussian Filtering Using Fixed Point Arithmetic,” 1565–68. IEEE, 2006. https://doi.org/10.1109/ICIP.2006.312606.
View | DOI
 
[6]
2006 | Conference Paper | IST-REx-ID: 3692
Keysers, Daniel, Christoph Lampert, and Thomas Breuel. “Color Image Dequantization by Constrained Diffusion,” Vol. 6058. SPIE, 2006. https://doi.org/10.1117/12.648713.
View | DOI
 
[5]
2005 | Conference Paper | IST-REx-ID: 3689
Ulges, Adrian, Christoph Lampert, and Thomas Breuel. “Document Image Dewarping Using Robust Estimation of Curled Text Lines,” 2:1001–5. IEEE, 2005. https://doi.org/ 10.1109/ICDAR.2005.90.
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[4]
2005 | Conference Paper | IST-REx-ID: 3684
Lampert, Christoph, Tim Braun, Adrian Ulges, Daniel Keysers, and Thomas Breuel. “Oblivious Document Capture and Real-Time Retrieval,” 79–86. CBDAR, 2005.
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[3]
2005 | Journal Article | IST-REx-ID: 3691
Lampert, Christoph. “Boundary Regularity of Admissible Operators.” Publicacions Matemàtiques. Universitat Autònoma de Barcelona, Departament de Matemàtique, 2005. https://doi.org/10.5565/PUBLMAT_49105_08.
View | DOI
 
[2]
2004 | Conference Paper | IST-REx-ID: 3688
Ulges, Adrian, Christoph Lampert, and Thomas Breuel. “Document Capture Using Stereo Vision,” 198–200. ACM, 2004. https://doi.org/10.1145/1030397.1030434.
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[1]
2003 | Thesis | IST-REx-ID: 3678
Lampert, Christoph. “The Neumann Operator in Strictly Pseudoconvex Domains with Weighted Bergman Metric .” Bonner Mathematische Schriften. Universität Bonn, Fachbibliothek Mathematik, 2003.
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[125]
2023 | Conference Paper | IST-REx-ID: 13053 | OA
Peste, Elena-Alexandra, Adrian Vladu, Eldar Kurtic, Christoph Lampert, and Dan-Adrian Alistarh. “CrAM: A Compression-Aware Minimizer.” In 11th International Conference on Learning Representations , n.d.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[124]
2023 | Conference Paper | IST-REx-ID: 14410
Tomaszewska, Paulina, and Christoph Lampert. “On the Implementation of Baselines and Lightweight Conditional Model Extrapolation (LIMES) under Class-Prior Shift.” In International Workshop on Reproducible Research in Pattern Recognition, 14068:67–73. Springer Nature, 2023. https://doi.org/10.1007/978-3-031-40773-4_6.
View | DOI
 
[123]
2023 | Conference Paper | IST-REx-ID: 14921 | OA
Súkeník, Peter, Marco Mondelli, and Christoph Lampert. “Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model.” In 37th Annual Conference on Neural Information Processing Systems, n.d.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[122]
2023 | Preprint | IST-REx-ID: 15039 | OA
Prach, Bernd, and Christoph Lampert. “1-Lipschitz Neural Networks Are More Expressive with N-Activations.” ArXiv, n.d. https://doi.org/10.48550/ARXIV.2311.06103.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[121]
2022 | Preprint | IST-REx-ID: 12660 | OA
Scott, Jonathan A, Michelle X Yeo, and Christoph Lampert. “Cross-Client Label Propagation for Transductive Federated Learning.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2210.06434.
[Preprint] View | Files available | DOI | arXiv
 
[120]
2022 | Preprint | IST-REx-ID: 12662 | OA
Súkeník, Peter, and Christoph Lampert. “Generalization in Multi-Objective Machine Learning.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2208.13499.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[119]
2022 | Journal Article | IST-REx-ID: 12495 | OA
Iofinova, Eugenia B, Nikola H Konstantinov, and Christoph Lampert. “FLEA: Provably Robust Fair Multisource Learning from Unreliable Training Data.” Transactions on Machine Learning Research. ML Research Press, 2022.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[118]
2022 | Conference Paper | IST-REx-ID: 11839 | OA
Prach, Bernd, and Christoph Lampert. “Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks.” In Computer Vision – ECCV 2022, 13681:350–65. Springer Nature, 2022. https://doi.org/10.1007/978-3-031-19803-8_21.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[117]
2022 | Conference Paper | IST-REx-ID: 10752
Lampert, Jasmin, and Christoph Lampert. “Overcoming Rare-Language Discrimination in Multi-Lingual Sentiment Analysis.” In 2021 IEEE International Conference on Big Data, 5185–92. IEEE, 2022. https://doi.org/10.1109/bigdata52589.2021.9672003.
View | DOI | WoS
 
[116]
2022 | Conference Paper | IST-REx-ID: 12161 | OA
Tomaszewska, Paulina, and Christoph Lampert. “Lightweight Conditional Model Extrapolation for Streaming Data under Class-Prior Shift.” In 26th International Conference on Pattern Recognition, 2022:2128–34. Institute of Electrical and Electronics Engineers, 2022. https://doi.org/10.1109/icpr56361.2022.9956195.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[115]
2022 | Journal Article | IST-REx-ID: 10802 | OA
Konstantinov, Nikola H, and Christoph Lampert. “Fairness-Aware PAC Learning from Corrupted Data.” Journal of Machine Learning Research. ML Research Press, 2022.
[Published Version] View | Files available | arXiv
 
[114]
2022 | Conference Paper | IST-REx-ID: 13241 | OA
Konstantinov, Nikola H, and Christoph Lampert. “On the Impossibility of Fairness-Aware Learning from Corrupted Data.” In Proceedings of Machine Learning Research, 171:59–83. ML Research Press, 2022.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[113]
2021 | Conference Paper | IST-REx-ID: 9210 | OA
Volhejn, Vaclav, and Christoph Lampert. “Does SGD Implicitly Optimize for Smoothness?” In 42nd German Conference on Pattern Recognition, 12544:246–59. LNCS. Springer, 2021. https://doi.org/10.1007/978-3-030-71278-5_18.
[Submitted Version] View | Files available | DOI
 
[112]
2021 | Conference Paper | IST-REx-ID: 9416 | OA
Phuong, Mary, and Christoph Lampert. “The Inductive Bias of ReLU Networks on Orthogonally Separable Data.” In 9th International Conference on Learning Representations, 2021.
[Published Version] View | Files available | Download Published Version (ext.)
 
[111]
2021 | Preprint | IST-REx-ID: 10803 | OA
Konstantinov, Nikola H, and Christoph Lampert. “Fairness through Regularization for Learning to Rank.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2102.05996.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[110]
2021 | Book Chapter | IST-REx-ID: 14987
Lampert, Christoph. “Zero-Shot Learning.” In Computer Vision, edited by Katsushi Ikeuchi, 2nd ed., 1395–97. Cham: Springer, 2021. https://doi.org/10.1007/978-3-030-63416-2_874.
View | DOI
 
[109]
2020 | Preprint | IST-REx-ID: 8063 | OA
Anciukevicius, Titas, Christoph Lampert, and Paul M Henderson. “Object-Centric Image Generation with Factored Depths, Locations, and Appearances.” ArXiv, n.d.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[108]
2020 | Conference Paper | IST-REx-ID: 8188 | OA
Henderson, Paul M, and Christoph Lampert. “Unsupervised Object-Centric Video Generation and Decomposition in 3D.” In 34th Conference on Neural Information Processing Systems, 33:3106–3117. Curran Associates, 2020.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[107]
2020 | Conference Paper | IST-REx-ID: 7936 | OA
Royer, Amélie, and Christoph Lampert. “Localizing Grouped Instances for Efficient Detection in Low-Resource Scenarios.” In IEEE Winter Conference on Applications of Computer Vision. IEEE, 2020. https://doi.org/10.1109/WACV45572.2020.9093288.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[106]
2020 | Conference Paper | IST-REx-ID: 7937 | OA
Royer, Amélie, and Christoph Lampert. “A Flexible Selection Scheme for Minimum-Effort Transfer Learning.” In 2020 IEEE Winter Conference on Applications of Computer Vision. IEEE, 2020. https://doi.org/10.1109/WACV45572.2020.9093635.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[105]
2020 | Conference Paper | IST-REx-ID: 7481 | OA
Phuong, Mary, and Christoph Lampert. “Functional vs. Parametric Equivalence of ReLU Networks.” In 8th International Conference on Learning Representations, 2020.
[Published Version] View | Files available
 
[104]
2020 | Conference Paper | IST-REx-ID: 8724 | OA
Konstantinov, Nikola H, Elias Frantar, Dan-Adrian Alistarh, and Christoph Lampert. “On the Sample Complexity of Adversarial Multi-Source PAC Learning.” In Proceedings of the 37th International Conference on Machine Learning, 119:5416–25. ML Research Press, 2020.
[Published Version] View | Files available | arXiv
 
[103]
2020 | Conference Paper | IST-REx-ID: 8186 | OA
Henderson, Paul M, Vagia Tsiminaki, and Christoph Lampert. “Leveraging 2D Data to Learn Textured 3D Mesh Generation.” In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 7498–7507. IEEE, 2020. https://doi.org/10.1109/CVPR42600.2020.00752.
[Submitted Version] View | Files available | DOI | Download Submitted Version (ext.) | arXiv
 
[102]
2020 | Journal Article | IST-REx-ID: 6944 | OA
Sun, Rémy, and Christoph Lampert. “KS(Conf): A Light-Weight Test If a Multiclass Classifier Operates Outside of Its Specifications.” International Journal of Computer Vision. Springer Nature, 2020. https://doi.org/10.1007/s11263-019-01232-x.
[Published Version] View | Files available | DOI | WoS
 
[101]
2019 | Book (Editor) | IST-REx-ID: 7171
Kersting, Kristian, Christoph Lampert, and Constantin Rothkopf, eds. Wie Maschinen Lernen: Künstliche Intelligenz Verständlich Erklärt. 1st ed. Wiesbaden: Springer Nature, 2019. https://doi.org/10.1007/978-3-658-26763-6.
View | Files available | DOI
 
[100]
2019 | Conference Paper | IST-REx-ID: 6942 | OA
Ashok, Pranav, Tomáš Brázdil, Krishnendu Chatterjee, Jan Křetínský, Christoph Lampert, and Viktor Toman. “Strategy Representation by Decision Trees with Linear Classifiers.” In 16th International Conference on Quantitative Evaluation of Systems, 11785:109–28. Springer Nature, 2019. https://doi.org/10.1007/978-3-030-30281-8_7.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[99]
2019 | Journal Article | IST-REx-ID: 6554 | OA
Xian, Yongqin, Christoph Lampert, Bernt Schiele, and Zeynep Akata. “Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly.” IEEE Transactions on Pattern Analysis and Machine Intelligence. Institute of Electrical and Electronics Engineers (IEEE), 2019. https://doi.org/10.1109/tpami.2018.2857768.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[98]
2019 | Conference Paper | IST-REx-ID: 7479 | OA
Phuong, Mary, and Christoph Lampert. “Distillation-Based Training for Multi-Exit Architectures.” In IEEE International Conference on Computer Vision, 2019–October:1355–64. IEEE, 2019. https://doi.org/10.1109/ICCV.2019.00144.
[Submitted Version] View | Files available | DOI | WoS
 
[97]
2019 | Conference Paper | IST-REx-ID: 7640 | OA
Kolesnikov, Alexander, Alina Kuznetsova, Christoph Lampert, and Vittorio Ferrari. “Detecting Visual Relationships Using Box Attention.” In Proceedings of the 2019 International Conference on Computer Vision Workshop. IEEE, 2019. https://doi.org/10.1109/ICCVW.2019.00217.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[96]
2019 | Conference Paper | IST-REx-ID: 6569 | OA
Phuong, Mary, and Christoph Lampert. “Towards Understanding Knowledge Distillation.” In Proceedings of the 36th International Conference on Machine Learning, 97:5142–51. ML Research Press, 2019.
[Published Version] View | Files available
 
[95]
2019 | Conference Paper | IST-REx-ID: 6590 | OA
Konstantinov, Nikola H, and Christoph Lampert. “Robust Learning from Untrusted Sources.” In Proceedings of the 36th International Conference on Machine Learning, 97:3488–98. ML Research Press, 2019.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[94]
2019 | Conference Paper | IST-REx-ID: 6482 | OA
Sun, Rémy, and Christoph Lampert. “KS(Conf): A Light-Weight Test If a ConvNet Operates Outside of Its Specifications,” 11269:244–59. Springer Nature, 2019. https://doi.org/10.1007/978-3-030-12939-2_18.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[93]
2018 | Journal Article | IST-REx-ID: 321 | OA
Darrell, Trevor, Christoph Lampert, Nico Sebe, Ying Wu, and Yan Yan. “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. IEEE, 2018. https://doi.org/10.1109/TPAMI.2018.2804998.
[Published Version] View | Files available | DOI | WoS
 
[92]
2018 | Conference Paper | IST-REx-ID: 10882 | OA
Uijlings, Jasper, Ksenia Konyushkova, Christoph Lampert, and Vittorio Ferrari. “Learning Intelligent Dialogs for Bounding Box Annotation.” In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 9175–84. IEEE, 2018. https://doi.org/10.1109/cvpr.2018.00956.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[91]
2018 | Conference Paper | IST-REx-ID: 6012 | OA
Sahoo, Subham, Christoph Lampert, and Georg S Martius. “Learning Equations for Extrapolation and Control.” In Proceedings of the 35th International Conference on Machine Learning, 80:4442–50. ML Research Press, 2018.
[Preprint] View | Files available | Download Preprint (ext.) | WoS | arXiv
 
[90]
2018 | Conference Paper | IST-REx-ID: 6011 | OA
Kuzborskij, Ilja, and Christoph Lampert. “Data-Dependent Stability of Stochastic Gradient Descent.” In Proceedings of the 35 Th International Conference on Machine Learning, 80:2815–24. ML Research Press, 2018.
[Preprint] View | Download Preprint (ext.) | WoS | arXiv
 
[89]
2017 | Conference Paper | IST-REx-ID: 6841 | OA
Martius, Georg S, and Christoph Lampert. “Extrapolation and Learning Equations.” In 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings. International Conference on Learning Representations, 2017.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[88]
2017 | Conference Paper | IST-REx-ID: 750
Pielorz, Jasmin, Matthias Prandtstetter, Markus Straub, and Christoph Lampert. “Optimal Geospatial Volunteer Allocation Needs Realistic Distances.” In 2017 IEEE International Conference on Big Data, 3760–63. IEEE, 2017. https://doi.org/10.1109/BigData.2017.8258375.
View | DOI
 
[87]
2017 | Conference Paper | IST-REx-ID: 1000 | OA
Kolesnikov, Alexander, and Christoph Lampert. “PixelCNN Models with Auxiliary Variables for Natural Image Modeling.” In 34th International Conference on Machine Learning, 70:1905–14. JMLR, 2017.
[Submitted Version] View | Download Submitted Version (ext.) | WoS | arXiv
 
[86]
2017 | Conference Paper | IST-REx-ID: 998 | OA
Rebuffi, Sylvestre Alvise, Alexander Kolesnikov, Georg Sperl, and Christoph Lampert. “ICaRL: Incremental Classifier and Representation Learning,” 2017:5533–42. IEEE, 2017. https://doi.org/10.1109/CVPR.2017.587.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
[85]
2017 | Conference Paper | IST-REx-ID: 911 | OA
Royer, Amélie, Alexander Kolesnikov, and Christoph Lampert. “Probabilistic Image Colorization,” 85.1-85.12. BMVA Press, 2017. https://doi.org/10.5244/c.31.85.
[Published Version] View | Files available | DOI | arXiv
 
[84]
2017 | Conference Paper | IST-REx-ID: 1108 | OA
Zimin, Alexander, and Christoph Lampert. “Learning Theory for Conditional Risk Minimization,” 54:213–22. ML Research Press, 2017.
[Submitted Version] View | Download Submitted Version (ext.) | WoS
 
[83]
2017 | Conference Paper | IST-REx-ID: 999 | OA
Pentina, Anastasia, and Christoph Lampert. “Multi-Task Learning with Labeled and Unlabeled Tasks,” 70:2807–16. ML Research Press, 2017.
[Submitted Version] View | Download Submitted Version (ext.) | WoS
 
[82]
2016 | Conference Paper | IST-REx-ID: 1102 | OA
Kolesnikov, Alexander, and Christoph Lampert. “Improving Weakly-Supervised Object Localization by Micro-Annotation.” In Proceedings of the British Machine Vision Conference 2016, 2016–September:92.1-92.12. BMVA Press, 2016. https://doi.org/10.5244/C.30.92.
[Published Version] View | DOI | Download Published Version (ext.)
 
[81]
2016 | Conference Paper | IST-REx-ID: 1369 | OA
Kolesnikov, Alexander, and Christoph Lampert. “Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation,” 9908:695–711. Springer, 2016. https://doi.org/10.1007/978-3-319-46493-0_42.
[Preprint] View | DOI | Download Preprint (ext.)
 
[80]
2016 | Conference Paper | IST-REx-ID: 1707
Pielorz, Jasmin, and Christoph Lampert. “Optimal Geospatial Allocation of Volunteers for Crisis Management.” IEEE, 2016. https://doi.org/10.1109/ICT-DM.2015.7402041.
View | DOI
 
[79]
2015 | Conference Paper | IST-REx-ID: 1425 | OA
Pentina, Anastasia, and Christoph Lampert. “Lifelong Learning with Non-i.i.d. Tasks,” 2015:1540–48. Neural Information Processing Systems, 2015.
View | Download None (ext.)
 
[78]
2015 | Conference Paper | IST-REx-ID: 1859 | OA
Shah, Neel, Vladimir Kolmogorov, and Christoph Lampert. “A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Training Structural SVMs with a Costly Max-Oracle,” 2737–45. IEEE, 2015. https://doi.org/10.1109/CVPR.2015.7298890.
[Preprint] View | DOI | Download Preprint (ext.)
 
[77]
2015 | Conference Paper | IST-REx-ID: 1860 | OA
Royer, Amélie, and Christoph Lampert. “Classifier Adaptation at Prediction Time,” 1401–9. IEEE, 2015. https://doi.org/10.1109/CVPR.2015.7298746.
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[76]
2015 | Conference Paper | IST-REx-ID: 1858 | OA
Lampert, Christoph. “Predicting the Future Behavior of a Time-Varying Probability Distribution,” 942–50. IEEE, 2015. https://doi.org/10.1109/CVPR.2015.7298696.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[75]
2015 | Conference Paper | IST-REx-ID: 1857 | OA
Pentina, Anastasia, Viktoriia Sharmanska, and Christoph Lampert. “Curriculum Learning of Multiple Tasks,” 5492–5500. IEEE, 2015. https://doi.org/10.1109/CVPR.2015.7299188.
[Preprint] View | DOI | Download Preprint (ext.)
 
[74]
2014 | Book Chapter | IST-REx-ID: 1829
Muelling, Katharina, Oliver Kroemer, Christoph Lampert, and Bernhard Schölkopf. “Movement Templates for Learning of Hitting and Batting.” In Learning Motor Skills, edited by Jens Kober and Jan Peters, 97:69–82. From Algorithms to Robot Experiments. Springer, 2014. https://doi.org/10.1007/978-3-319-03194-1_3.
View | DOI
 
[73]
2014 | Conference Paper | IST-REx-ID: 2033 | OA
Hernandez Lobato, Daniel, Viktoriia Sharmanska, Kristian Kersting, Christoph Lampert, and Novi Quadrianto. “Mind the Nuisance: Gaussian Process Classification Using Privileged Noise.” In Advances in Neural Information Processing Systems, 1:837–45. Neural Information Processing Systems, 2014.
[Submitted Version] View | Download Submitted Version (ext.)
 
[72]
2014 | Conference Paper | IST-REx-ID: 2171 | OA
Kolesnikov, Alexander, Matthieu Guillaumin, Vittorio Ferrari, and Christoph Lampert. “Closed-Form Approximate CRF Training for Scalable Image Segmentation.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), edited by David Fleet, Tomas Pajdla, Bernt Schiele, and Tinne Tuytelaars, 8691:550–65. Springer, 2014. https://doi.org/10.1007/978-3-319-10578-9_36.
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[71]
2014 | Conference Paper | IST-REx-ID: 2173 | OA
Khamis, Sameh, and Christoph Lampert. “CoConut: Co-Classification with Output Space Regularization.” In Proceedings of the British Machine Vision Conference 2014. BMVA Press, 2014.
[Published Version] View | Files available
 
[70]
2014 | Conference Paper | IST-REx-ID: 2172
Sydorov, Vladyslav, Mayu Sakurada, and Christoph Lampert. “Deep Fisher Kernels – End to End Learning of the Fisher Kernel GMM Parameters.” In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1402–9. IEEE, 2014. https://doi.org/10.1109/CVPR.2014.182.
View | DOI
 
[69]
2014 | Conference Paper | IST-REx-ID: 2160 | OA
Pentina, Anastasia, and Christoph Lampert. “A PAC-Bayesian Bound for Lifelong Learning,” 32:991–99. ML Research Press, 2014.
[Submitted Version] View | Download Submitted Version (ext.)
 
[68]
2013 | Conference Paper | IST-REx-ID: 2294 | OA
Kazmar, Tomas, Evgeny Kvon, Alexander Stark, and Christoph Lampert. “Drosophila Embryo Stage Annotation Using Label Propagation.” IEEE, 2013. https://doi.org/10.1109/ICCV.2013.139.
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[67]
2013 | Conference Paper | IST-REx-ID: 2293 | OA
Sharmanska, Viktoriia, Novi Quadrianto, and Christoph Lampert. “Learning to Rank Using Privileged Information,” 825–32. IEEE, 2013. https://doi.org/10.1109/ICCV.2013.107.
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[66]
2013 | Journal Article | IST-REx-ID: 2516
Lampert, Christoph, Hannes Nickisch, and Stefan Harmeling. “Attribute-Based Classification for Zero-Shot Learning of Object Categories.” IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE, 2013. https://doi.org/10.1109/TPAMI.2013.140.
View | DOI
 
[65]
2013 | Conference Paper | IST-REx-ID: 2901 | OA
Chen, Chao, Vladimir Kolmogorov, Zhu Yan, Dimitris Metaxas, and Christoph Lampert. “Computing the M Most Probable Modes of a Graphical Model,” 31:161–69. JMLR, 2013.
View | Download None (ext.)
 
[64]
2013 | Conference Paper | IST-REx-ID: 2948 | OA
Tommasi, Tatiana, Novi Quadrianto, Barbara Caputo, and Christoph Lampert. “Beyond Dataset Bias: Multi-Task Unaligned Shared Knowledge Transfer.” Lecture Notes in Computer Science. Springer, 2013. https://doi.org/10.1007/978-3-642-37331-2_1.
[Submitted Version] View | Files available | DOI
 
[63]
2013 | Encyclopedia Article | IST-REx-ID: 3321
Quadrianto, Novi, and Christoph Lampert. “Kernel Based Learning.” In Encyclopedia of Systems Biology, edited by Werner Dubitzky, Olaf Wolkenhauer, Kwang Cho, and Hiroki Yokota, 3:1069–1069. Springer, 2013. https://doi.org/10.1007/978-1-4419-9863-7_604.
View | DOI
 
[62]
2012 | Conference Paper | IST-REx-ID: 2825
Lampert, Christoph. “Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction,” 1:82–90. Neural Information Processing Systems, 2012.
View
 
[61]
2012 | Journal Article | IST-REx-ID: 3164
Blaschko, Matthew, and Christoph Lampert. “Guest Editorial: Special Issue on Structured Prediction and Inference.” International Journal of Computer Vision. Springer, 2012. https://doi.org/10.1007/s11263-012-0530-y.
View | DOI
 
[60]
2012 | Conference Paper | IST-REx-ID: 3125 | OA
Sharmanska, Viktoriia, Novi Quadrianto, and Christoph Lampert. “Augmented Attribute Representations,” 7576:242–55. Springer, 2012. https://doi.org/10.1007/978-3-642-33715-4_18.
[Submitted Version] View | Files available | DOI
 
[59]
2012 | Conference Paper | IST-REx-ID: 3126
Müller, Andreas, Sebastian Nowozin, and Christoph Lampert. “Information Theoretic Clustering Using Minimal Spanning Trees,” 7476:205–15. Springer, 2012. https://doi.org/10.1007/978-3-642-32717-9_21.
View | DOI
 
[58]
2012 | Journal Article | IST-REx-ID: 3248 | OA
Lampert, Christoph, and Jan Peters. “Real-Time Detection of Colored Objects in Multiple Camera Streams with off-the-Shelf Hardware Components.” Journal of Real-Time Image Processing. Springer, 2012. https://doi.org/10.1007/s11554-010-0168-3.
[Submitted Version] View | Files available | DOI
 
[57]
2012 | Conference Paper | IST-REx-ID: 3124 | OA
Korc, Filip, Vladimir Kolmogorov, and Christoph Lampert. “Approximating Marginals Using Discrete Energy Minimization.” ICML, 2012.
[Submitted Version] View | Files available
 
[56]
2012 | Technical Report | IST-REx-ID: 5396 | OA
Korc, Filip, Vladimir Kolmogorov, and Christoph Lampert. Approximating Marginals Using Discrete Energy Minimization. IST Austria, 2012. https://doi.org/10.15479/AT:IST-2012-0003.
[Published Version] View | Files available | DOI
 
[55]
2012 | Conference Paper | IST-REx-ID: 2915
Kroemer, Oliver, Christoph Lampert, and Jan Peters. “Multi-Modal Learning for Dynamic Tactile Sensing.” Deutsches Zentrum für Luft und Raumfahrt, 2012.
View
 
[54]
2012 | Conference Paper | IST-REx-ID: 3127 | OA
Quadrianto, Novi, Christoph Lampert, and Chao Chen. “The Most Persistent Soft-Clique in a Set of Sampled Graphs.” In Proceedings of the 29th International Conference on Machine Learning, 211–18. ML Research Press, 2012.
[Preprint] View | Download Preprint (ext.)
 
[53]
2011 | Conference Paper | IST-REx-ID: 3337
Wang, Zhikun, Christoph Lampert, Katharina Mülling, Bernhard Schölkopf, and Jan Peters. “Learning Anticipation Policies for Robot Table Tennis,” 332–37. IEEE, 2011. https://doi.org/10.1109/IROS.2011.6094892.
View | DOI
 
[52]
2011 | Journal Article | IST-REx-ID: 3389
Blaschko, Matthew, Jacquelyn Shelton, Andreas Bartels, Christoph Lampert, and Arthur Gretton. “Semi Supervised Kernel Canonical Correlation Analysis with Application to Human FMRI.” Pattern Recognition Letters. Elsevier, 2011. https://doi.org/10.1016/j.patrec.2011.02.011.
View | DOI
 
[51]
2011 | Journal Article | IST-REx-ID: 3382
Kroemer, Oliver, Christoph Lampert, and Jan Peters. “Learning Dynamic Tactile Sensing with Robust Vision Based Training.” IEEE Transactions on Robotics. IEEE, 2011. https://doi.org/10.1109/TRO.2011.2121130.
View | DOI
 
[50]
2011 | Technical Report | IST-REx-ID: 5386 | OA
Chen, Chao, Daniel Freedman, and Christoph Lampert. Enforcing Topological Constraints in Random Field Image Segmentation. IST Austria, 2011. https://doi.org/10.15479/AT:IST-2011-0002.
[Published Version] View | Files available | DOI
 
[49]
2011 | Conference Paper | IST-REx-ID: 3336
Chen, Chao, Daniel Freedman, and Christoph Lampert. “Enforcing Topological Constraints in Random Field Image Segmentation.” In CVPR: Computer Vision and Pattern Recognition, 2089–96. IEEE, 2011. https://doi.org/10.1109/CVPR.2011.5995503.
View | Files available | DOI
 
[48]
2011 | Conference Paper | IST-REx-ID: 3163
Lampert, Christoph. “Maximum Margin Multi-Label Structured Prediction.” Neural Information Processing Systems, 2011.
View | Files available
 
[47]
2011 | Conference Poster | IST-REx-ID: 3322
Lampert, Christoph. Maximum Margin Multi Label Structured Prediction. NIPS: Neural Information Processing Systems. Neural Information Processing Systems Foundation, 2011.
View | Files available
 
[46]
2011 | Journal Article | IST-REx-ID: 3320 | OA
Nowozin, Sebastian, and Christoph Lampert. “Structured Learning and Prediction in Computer Vision.” Foundations and Trends in Computer Graphics and Vision. Now Publishers, 2011. https://doi.org/10.1561/0600000033.
[Published Version] View | Files available | DOI
 
[45]
2011 | Conference Paper | IST-REx-ID: 3319
Quadrianto, Novi, and Christoph Lampert. “Learning Multi-View Neighborhood Preserving Projections,” 425–32. ML Research Press, 2011.
View
 
[44]
2010 | Journal Article | IST-REx-ID: 3686
Nowozin, Sebastian, and Christoph Lampert. “Global Interactions in Random Field Models: A Potential Function Ensuring Connectedness.” SIAM Journal on Imaging Sciences. Society for Industrial and Applied Mathematics , 2010. https://doi.org/10.1137/090752614.
View | DOI
 
[43]
2010 | Conference Paper | IST-REx-ID: 3682
Tang, Kevin, Marshall Tappen, Rahul Sukthankar, and Christoph Lampert. “Optimizing One-Shot Recognition with Micro-Set Learning,” 3027–34. IEEE, 2010. https://doi.org/10.1109/CVPR.2010.5540053.
View | DOI
 
[42]
2010 | Conference Paper | IST-REx-ID: 3702
Kober, Jens, Katharina Mülling, Oliver Krömer, Christoph Lampert, Bernhard Schölkopf, and Jan Peters. “Movement Templates for Learning of Hitting and Batting,” 853–58. IEEE, 2010. https://doi.org/10.1109/ROBOT.2010.5509672.
View | DOI | Download (ext.)
 
[41]
2010 | Conference Paper | IST-REx-ID: 3794
Lampert, Christoph, and Oliver Krömer. “Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer Learning,” 6312:566–79. Springer, 2010. https://doi.org/10.1007/978-3-642-15552-9_41.
View | DOI | Download None (ext.)
 
[40]
2010 | Conference Paper | IST-REx-ID: 3676
Wanke, Jörn, Adrian Ulges, Christoph Lampert, and Thomas Breuel. “Topic Models for Semantic Video Compression,” 275–84. ACM, 2010. https://doi.org/10.1145/1743384.1743433.
View | DOI | Download (ext.)
 
[39]
2010 | Journal Article | IST-REx-ID: 3697
Tuytelaars, Tinne, Christoph Lampert, Matthew Blaschko, and Wray Buntine. “Unsupervised Object Discovery: A Comparison.” International Journal of Computer Vision. Springer, 2010. https://doi.org/10.1007/s11263-009-0271-8.
View | DOI
 
[38]
2010 | Conference Paper | IST-REx-ID: 3713
Lampert, Christoph. “An Efficient Divide-and-Conquer Cascade for Nonlinear Object Detection,” 1022–29. IEEE, 2010. https://doi.org/10.1109/CVPR.2010.5540107.
View | DOI
 
[37]
2010 | Conference Paper | IST-REx-ID: 3793 | OA
Nowozin, Sebastian, Peter Gehler, and Christoph Lampert. “On Parameter Learning in CRF-Based Approaches to Object Class Image Segmentation,” 6316:98–111. Springer, 2010. https://doi.org/10.1007/978-3-642-15567-3_8.
[Submitted Version] View | Files available | DOI
 
[36]
2009 | Conference Poster | IST-REx-ID: 3699
Blaschko, Matthew, Christoph Lampert, and Andreas Bartels. Semi-Supervised Analysis of Human FMRI Data. BBCI: Berlin Brain-Computer Interface Workshop - Advances in Neurotechnology. Berlin Institute of Technology, 2009.
View | Download (ext.)
 
[35]
2009 | Conference Paper | IST-REx-ID: 3703
Blaschko, Matthew, and Christoph Lampert. “Object Localization with Global and Local Context Kernels,” 1–11. BMVA Press, 2009. https://doi.org/10.5244/C.23.63.
View | DOI | Download (ext.)
 
[34]
2009 | Conference Paper | IST-REx-ID: 3704
Lampert, Christoph, Hannes Nickisch, and Stefan Harmeling. “Learning to Detect Unseen Object Classes by Between-Class Attribute Transfer,” 951–58. IEEE, 2009. https://doi.org/10.1109/CVPR.2009.5206594.
View | DOI
 
[33]
2009 | Conference Paper | IST-REx-ID: 3715
Lampert, Christoph, and Jan Peters. “Active Structured Learning for High-Speed Object Detection,” 5748:221–31. Springer, 2009. https://doi.org/10.1007/978-3-642-03798-6_23.
View | DOI
 
[32]
2009 | Conference Poster | IST-REx-ID: 3717
Lampert, Christoph, and Jan Peters. A High-Speed Object Tracker from off-the-Shelf Components. ICCV: International Conference on Computer Vision. IEEE, 2009.
View | Download (ext.)
 
[31]
2009 | Journal Article | IST-REx-ID: 3696
Lampert, Christoph, and Matthew Blaschko. “Structured Prediction by Joint Kernel Support Estimation.” Machine Learning. Springer, 2009. https://doi.org/10.1007/s10994-009-5111-0.
View | DOI
 
[30]
2009 | Conference Paper | IST-REx-ID: 3690
Dhillon, Paramveer, Sebastian Nowozin, and Christoph Lampert. “Combining Appearance and Motion for Human Action Classification in Videos,” 22–29. IEEE, 2009. https://doi.org/10.1109/CVPRW.2009.5204237.
View | DOI
 
[29]
2009 | Journal Article | IST-REx-ID: 3710
Lampert, Christoph, Matthew Blaschko, and Thomas Hofmann. “Efficient Subwindow Search: A Branch and Bound Framework for Object Localization.” IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE, 2009. https://doi.org/10.1109/TPAMI.2009.144.
View | DOI | Download (ext.)
 
[28]
2009 | Conference Paper | IST-REx-ID: 3711
Dhillon, Paramveer, Sebastian Nowozin, and Christoph Lampert. “Combining Appearance and Motion for Human Action Classification in Videos,” 22–29. IEEE, 2009. https://doi.org/10.1109/CVPRW.2009.5204237.
View | DOI | Download (ext.)
 
[27]
2009 | Book | IST-REx-ID: 3707
Lampert, Christoph. Kernel Methods in Computer Vision. Vol. 4. now publishers, 2009. https://doi.org/10.1561/0600000027.
View | DOI
 
[26]
2009 | Conference Paper | IST-REx-ID: 3708
Nowozin, Sebastian, and Christoph Lampert. “Global Connectivity Potentials for Random Field Models,” 818–25. IEEE, 2009. https://doi.org/10.1109/CVPR.2009.5206567.
View | DOI
 
[25]
2009 | Conference Paper | IST-REx-ID: 3709
Lampert, Christoph. “Detecting Objects in Large Image Collections and Videos by Efficient Subimage Retrieval,” 987–94. IEEE, 2009. https://doi.org/10.1109/ICCV.2009.5459359.
View | DOI
 
[24]
2008 | Conference Paper | IST-REx-ID: 3705
Blaschko, Matthew, and Christoph Lampert. “Learning to Localize Objects with Structured Output Regression,” 5302:2–15. Springer, 2008. https://doi.org/10.1007/978-3-540-88682-2_2.
View | DOI | Download (ext.)
 
[23]
2008 | Conference Paper | IST-REx-ID: 3700
Lampert, Christoph. “Partitioning of Image Datasets Using Discriminative Context Information,” 1–8. IEEE, 2008. https://doi.org/10.1109/CVPR.2008.4587448.
View | DOI | Download (ext.)
 
[22]
2008 | Conference Paper | IST-REx-ID: 3716
Lampert, Christoph, and Matthew Blaschko. “A Multiple Kernel Learning Approach to Joint Multi-Class Object Detection,” 5096:31–40. Springer, 2008. https://doi.org/10.1007/978-3-540-69321-5_4.
View | DOI | Download (ext.)
 
[21]
2008 | Conference Paper | IST-REx-ID: 3714
Lampert, Christoph, Matthew Blaschko, and Thomas Hofmann. “Beyond Sliding Windows: Object Localization by Efficient Subwindow Search,” 1–8. IEEE, 2008. https://doi.org/10.1109/CVPR.2008.4587586.
View | DOI | Download (ext.)
 
[20]
2008 | Conference Paper | IST-REx-ID: 3698
Blaschko, Matthew, Christoph Lampert, and Arthur Gretton. “Semi-Supervised Laplacian Regularization of Kernel Canonical Correlation Analysis,” 5211:133–45. Springer, 2008. https://doi.org/10.1007/978-3-540-87479-9_27.
View | DOI
 
[19]
2008 | Conference Paper | IST-REx-ID: 3694
Goldstein, Markus, Christoph Lampert, Matthias Reif, Armin Stahl, and Thomas Breuel. “Bayes Optimal DDoS Mitigation by Adaptive History-Based IP Filtering,” 174–79. IEEE, 2008. https://doi.org/10.1109/ICN.2008.64.
View | DOI | Download (ext.)
 
[18]
2008 | Conference Paper | IST-REx-ID: 3706
Lampert, Christoph, and Matthew Blaschko. “Joint Kernel Support Estimation for Structured Prediction,” 1–4. Curran Associates, Inc., 2008.
View | Download (ext.)
 
[17]
2008 | Conference Paper | IST-REx-ID: 3712
Blaschko, Matthew, and Christoph Lampert. “Correlational Spectral Clustering,” 1–8. IEEE, 2008. https://doi.org/10.1109/CVPR.2008.4587353.
View | DOI
 
[16]
2007 | Report | IST-REx-ID: 3687
Blaschko, Matthew, Thomas Hofmann, and Christoph Lampert. Efficient Subwindow Search for Object Localization. Unknown. Max-Planck-Institute for Biological Cybernetics, 2007.
View | Download (ext.)
 
[15]
2007 | Conference Paper | IST-REx-ID: 3701
Ulges, Adrian, Christoph Lampert, Daniel Keysers, and Thomas Breuel. “Optimal Dominant Motion Estimation Using Adaptive Search of Transformation Space,” 4713:204–13. Springer, 2007. https://doi.org/10.1007/978-3-540-74936-3_21.
View | DOI
 
[14]
2007 | Conference Paper | IST-REx-ID: 3681
Ulges, Adrian, Christoph Lampert, Daniel Keysers, and Thomas Breuel. “Optimal Dominant Motion Estimation Using Adaptive Search of Transformation Space,” 4713:204–13. Springer, 2007. https://doi.org/10.1007/978-3-540-74936-3_21.
View | DOI
 
[13]
2006 | Conference Paper | IST-REx-ID: 3683
Lampert, Christoph, and Thomas Breuel. “Objective Quality Measurement for Geometric Document Image Restoration.” Springer, 2006.
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[12]
2006 | Conference Paper | IST-REx-ID: 3685
Lampert, Christoph. “Machine Learning for Video Compression: Macroblock Mode Decision,” 936–40. IEEE, 2006. https://doi.org/10.1109/ICPR.2006.778.
View | DOI
 
[11]
2006 | Conference Paper | IST-REx-ID: 3679
Ali, Haider, Christoph Lampert, and Thomas Breuel. “Satellite Tracks Removal in Astronomical Images,” 4225:892–901. Springer, 2006. https://doi.org/10.1007/11892755_92.
View | DOI | Download (ext.)
 
[10]
2006 | Conference Paper | IST-REx-ID: 3677
Ulges, Adrian, Christoph Lampert, and Daniel Keysers. “Spatiogram-Based Shot Distances for Video Retrieval,” 1–10. NIST (National Institute of Standards and Technology, US Department of Commerce), 2006.
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[9]
2006 | Conference Paper | IST-REx-ID: 3680
Lampert, Christoph, Lin Mei, and Thomas Breuel. “Printing Technique Classification for Document Counterfeit Detection,” 1:639–634. IEEE, 2006. https://doi.org/10.1109/ICCIAS.2006.294214.
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[8]
2006 | Journal Article | IST-REx-ID: 3695 | OA
Lampert, Christoph, and Oliver Wirjadi. “An Optimal Non-Orthogonal Separation of the Anisotropic Gaussian Convolution Filter.” IEEE Transactions on Image Processing (TIP). IEEE, 2006. https://doi.org/ 10.1109/TIP.2006.877501 .
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[7]
2006 | Conference Paper | IST-REx-ID: 3693
Lampert, Christoph, and Oliver Wirjadi. “Anisotropic Gaussian Filtering Using Fixed Point Arithmetic,” 1565–68. IEEE, 2006. https://doi.org/10.1109/ICIP.2006.312606.
View | DOI
 
[6]
2006 | Conference Paper | IST-REx-ID: 3692
Keysers, Daniel, Christoph Lampert, and Thomas Breuel. “Color Image Dequantization by Constrained Diffusion,” Vol. 6058. SPIE, 2006. https://doi.org/10.1117/12.648713.
View | DOI
 
[5]
2005 | Conference Paper | IST-REx-ID: 3689
Ulges, Adrian, Christoph Lampert, and Thomas Breuel. “Document Image Dewarping Using Robust Estimation of Curled Text Lines,” 2:1001–5. IEEE, 2005. https://doi.org/ 10.1109/ICDAR.2005.90.
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[4]
2005 | Conference Paper | IST-REx-ID: 3684
Lampert, Christoph, Tim Braun, Adrian Ulges, Daniel Keysers, and Thomas Breuel. “Oblivious Document Capture and Real-Time Retrieval,” 79–86. CBDAR, 2005.
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[3]
2005 | Journal Article | IST-REx-ID: 3691
Lampert, Christoph. “Boundary Regularity of Admissible Operators.” Publicacions Matemàtiques. Universitat Autònoma de Barcelona, Departament de Matemàtique, 2005. https://doi.org/10.5565/PUBLMAT_49105_08.
View | DOI
 
[2]
2004 | Conference Paper | IST-REx-ID: 3688
Ulges, Adrian, Christoph Lampert, and Thomas Breuel. “Document Capture Using Stereo Vision,” 198–200. ACM, 2004. https://doi.org/10.1145/1030397.1030434.
View | DOI | Download (ext.)
 
[1]
2003 | Thesis | IST-REx-ID: 3678
Lampert, Christoph. “The Neumann Operator in Strictly Pseudoconvex Domains with Weighted Bergman Metric .” Bonner Mathematische Schriften. Universität Bonn, Fachbibliothek Mathematik, 2003.
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