Christoph Lampert

Lampert Group

125 Publications

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[125]
2023 | Accepted | Conference Paper | IST-REx-ID: 13053 | OA
Peste E-A, Vladu A, Kurtic E, Lampert C, Alistarh D-A. CrAM: A Compression-Aware Minimizer. In: 11th International Conference on Learning Representations .
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[124]
2023 | Published | Conference Paper | IST-REx-ID: 14410
Tomaszewska P, Lampert C. On the implementation of baselines and lightweight conditional model extrapolation (LIMES) under class-prior shift. In: International Workshop on Reproducible Research in Pattern Recognition. Vol 14068. Springer Nature; 2023:67-73. doi:10.1007/978-3-031-40773-4_6
View | DOI
 
[123]
2023 | In Press | 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. In: 37th Annual Conference on Neural Information Processing Systems.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[122]
2023 | Submitted | Preprint | IST-REx-ID: 15039 | OA
Prach B, Lampert C. 1-Lipschitz neural networks are more expressive with N-activations. arXiv. doi:10.48550/ARXIV.2311.06103
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[121]
2022 | Published | Journal Article | IST-REx-ID: 12495 | OA
Iofinova EB, Konstantinov NH, Lampert C. FLEA: Provably robust fair multisource learning from unreliable training data. Transactions on Machine Learning Research. 2022.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[120]
2022 | Submitted | Preprint | IST-REx-ID: 12660 | OA
Scott JA, Yeo MX, Lampert C. Cross-client Label Propagation for transductive federated learning. arXiv. doi:10.48550/arXiv.2210.06434
[Preprint] View | Files available | DOI | arXiv
 
[119]
2022 | Submitted | Preprint | IST-REx-ID: 12662 | OA
Súkeník P, Lampert C. Generalization in Multi-objective machine learning. arXiv. doi:10.48550/arXiv.2208.13499
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[118]
2022 | Published | Conference Paper | IST-REx-ID: 13241 | OA
Konstantinov NH, Lampert C. On the impossibility of fairness-aware learning from corrupted data. In: Proceedings of Machine Learning Research. Vol 171. ML Research Press; 2022:59-83.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[117]
2022 | Published | Conference Paper | IST-REx-ID: 11839 | OA
Prach B, Lampert C. Almost-orthogonal layers for efficient general-purpose Lipschitz networks. In: Computer Vision – ECCV 2022. Vol 13681. Springer Nature; 2022:350-365. doi:10.1007/978-3-031-19803-8_21
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[116]
2022 | Published | Conference Paper | IST-REx-ID: 12161 | OA
Tomaszewska P, Lampert C. Lightweight conditional model extrapolation for streaming data under class-prior shift. In: 26th International Conference on Pattern Recognition. Vol 2022. Institute of Electrical and Electronics Engineers; 2022:2128-2134. doi:10.1109/icpr56361.2022.9956195
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[115]
2022 | Published | Conference Paper | IST-REx-ID: 10752
Lampert J, Lampert C. Overcoming rare-language discrimination in multi-lingual sentiment analysis. In: 2021 IEEE International Conference on Big Data. IEEE; 2022:5185-5192. doi:10.1109/bigdata52589.2021.9672003
View | DOI | WoS
 
[114]
2022 | Published | Journal Article | IST-REx-ID: 10802 | OA
Konstantinov NH, Lampert C. Fairness-aware PAC learning from corrupted data. Journal of Machine Learning Research. 2022;23:1-60.
[Published Version] View | Files available | arXiv
 
[113]
2021 | Published | Book Chapter | IST-REx-ID: 14987
Lampert C. Zero-Shot Learning. In: Ikeuchi K, ed. Computer Vision. 2nd ed. Cham: Springer; 2021:1395-1397. doi:10.1007/978-3-030-63416-2_874
View | DOI
 
[112]
2021 | Published | Conference Paper | IST-REx-ID: 9210 | OA
Volhejn V, Lampert C. Does SGD implicitly optimize for smoothness? In: 42nd German Conference on Pattern Recognition. Vol 12544. LNCS. Springer; 2021:246-259. doi:10.1007/978-3-030-71278-5_18
[Submitted Version] View | Files available | DOI
 
[111]
2021 | Published | Conference Paper | IST-REx-ID: 9416 | OA
Phuong M, Lampert C. 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.)
 
[110]
2021 | Submitted | Preprint | IST-REx-ID: 10803 | OA
Konstantinov NH, Lampert C. Fairness through regularization for learning to rank. arXiv. doi:10.48550/arXiv.2102.05996
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[109]
2020 | Published | Conference Paper | IST-REx-ID: 7936 | OA
Royer A, Lampert C. Localizing grouped instances for efficient detection in low-resource scenarios. In: IEEE Winter Conference on Applications of Computer Vision. IEEE; 2020. doi:10.1109/WACV45572.2020.9093288
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[108]
2020 | Published | Conference Paper | IST-REx-ID: 7937 | OA
Royer A, Lampert C. A flexible selection scheme for minimum-effort transfer learning. In: 2020 IEEE Winter Conference on Applications of Computer Vision. IEEE; 2020. doi:10.1109/WACV45572.2020.9093635
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[107]
2020 | Submitted | Preprint | IST-REx-ID: 8063 | OA
Anciukevicius T, Lampert C, Henderson PM. Object-centric image generation with factored depths, locations, and appearances. arXiv.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[106]
2020 | Published | Conference Paper | IST-REx-ID: 8186 | OA
Henderson PM, Tsiminaki V, Lampert C. Leveraging 2D data to learn textured 3D mesh generation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE; 2020:7498-7507. doi:10.1109/CVPR42600.2020.00752
[Submitted Version] View | Files available | DOI | Download Submitted Version (ext.) | arXiv
 
[105]
2020 | Published | Conference Paper | IST-REx-ID: 8188 | OA
Henderson PM, Lampert C. Unsupervised object-centric video generation and decomposition in 3D. In: 34th Conference on Neural Information Processing Systems. Vol 33. Curran Associates; 2020:3106–3117.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[104]
2020 | Published | Conference Paper | IST-REx-ID: 8724 | OA
Konstantinov NH, Frantar E, Alistarh D-A, Lampert C. On the sample complexity of adversarial multi-source PAC learning. In: Proceedings of the 37th International Conference on Machine Learning. Vol 119. ML Research Press; 2020:5416-5425.
[Published Version] View | Files available | arXiv
 
[103]
2020 | Published | Journal Article | IST-REx-ID: 6944 | OA
Sun R, Lampert C. KS(conf): A light-weight test if a multiclass classifier operates outside of its specifications. International Journal of Computer Vision. 2020;128(4):970-995. doi:10.1007/s11263-019-01232-x
[Published Version] View | Files available | DOI | WoS
 
[102]
2020 | Published | Conference Paper | IST-REx-ID: 7481 | OA
Phuong M, Lampert C. Functional vs. parametric equivalence of ReLU networks. In: 8th International Conference on Learning Representations. ; 2020.
[Published Version] View | Files available
 
[101]
2019 | Published | Conference Paper | IST-REx-ID: 7640 | OA
Kolesnikov A, Kuznetsova A, Lampert C, Ferrari V. Detecting visual relationships using box attention. In: Proceedings of the 2019 International Conference on Computer Vision Workshop. IEEE; 2019. doi:10.1109/ICCVW.2019.00217
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[100]
2019 | Published | Conference Paper | IST-REx-ID: 6482 | OA
Sun R, Lampert C. KS(conf): A light-weight test if a ConvNet operates outside of Its specifications. In: Vol 11269. Springer Nature; 2019:244-259. doi:10.1007/978-3-030-12939-2_18
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[99]
2019 | Published | Journal Article | IST-REx-ID: 6554 | OA
Xian Y, Lampert C, Schiele B, Akata Z. Zero-shot learning - A comprehensive evaluation of the good, the bad and the ugly. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2019;41(9):2251-2265. doi:10.1109/tpami.2018.2857768
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[98]
2019 | Published | Conference Paper | IST-REx-ID: 6569 | OA
Phuong M, Lampert C. Towards understanding knowledge distillation. In: Proceedings of the 36th International Conference on Machine Learning. Vol 97. ML Research Press; 2019:5142-5151.
[Published Version] View | Files available
 
[97]
2019 | Published | Conference Paper | IST-REx-ID: 6590 | OA
Konstantinov NH, Lampert C. Robust learning from untrusted sources. In: Proceedings of the 36th International Conference on Machine Learning. Vol 97. ML Research Press; 2019:3488-3498.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[96]
2019 | Published | Conference Paper | IST-REx-ID: 6942 | OA
Ashok P, Brázdil T, Chatterjee K, Křetínský J, Lampert C, Toman V. Strategy representation by decision trees with linear classifiers. In: 16th International Conference on Quantitative Evaluation of Systems. Vol 11785. Springer Nature; 2019:109-128. doi:10.1007/978-3-030-30281-8_7
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[95]
2019 | Published | Book (Editor) | IST-REx-ID: 7171
Kersting K, Lampert C, Rothkopf C, eds. Wie Maschinen Lernen: Künstliche Intelligenz Verständlich Erklärt. 1st ed. Wiesbaden: Springer Nature; 2019. doi:10.1007/978-3-658-26763-6
View | Files available | DOI
 
[94]
2019 | Published | Conference Paper | IST-REx-ID: 7479 | OA
Phuong M, Lampert C. Distillation-based training for multi-exit architectures. In: IEEE International Conference on Computer Vision. Vol 2019-October. IEEE; 2019:1355-1364. doi:10.1109/ICCV.2019.00144
[Submitted Version] View | Files available | DOI | WoS
 
[93]
2018 | Published | Journal Article | IST-REx-ID: 321 | OA
Darrell T, Lampert C, Sebe N, Wu Y, Yan Y. 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. 2018;40(5):1029-1031. doi:10.1109/TPAMI.2018.2804998
[Published Version] View | Files available | DOI | WoS
 
[92]
2018 | Published | Conference Paper | IST-REx-ID: 6011 | OA
Kuzborskij I, Lampert C. Data-dependent stability of stochastic gradient descent. In: Proceedings of the 35 Th International Conference on Machine Learning. Vol 80. ML Research Press; 2018:2815-2824.
[Preprint] View | Download Preprint (ext.) | WoS | arXiv
 
[91]
2018 | Published | Conference Paper | IST-REx-ID: 6012 | OA
Sahoo S, Lampert C, Martius GS. Learning equations for extrapolation and control. In: Proceedings of the 35th International Conference on Machine Learning. Vol 80. ML Research Press; 2018:4442-4450.
[Preprint] View | Files available | Download Preprint (ext.) | WoS | arXiv
 
[90]
2018 | Published | Conference Paper | IST-REx-ID: 10882 | OA
Uijlings J, Konyushkova K, Lampert C, Ferrari V. Learning intelligent dialogs for bounding box annotation. In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE; 2018:9175-9184. doi:10.1109/cvpr.2018.00956
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[89]
2017 | Published | Conference Paper | IST-REx-ID: 911 | OA
Royer A, Kolesnikov A, Lampert C. Probabilistic image colorization. In: BMVA Press; 2017:85.1-85.12. doi:10.5244/c.31.85
[Published Version] View | Files available | DOI | arXiv
 
[88]
2017 | Published | Conference Paper | IST-REx-ID: 1108 | OA
Zimin A, Lampert C. Learning theory for conditional risk minimization. In: Vol 54. ML Research Press; 2017:213-222.
[Submitted Version] View | Download Submitted Version (ext.) | WoS
 
[87]
2017 | Published | Conference Paper | IST-REx-ID: 6841 | OA
Martius GS, Lampert C. 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
 
[86]
2017 | Published | Conference Paper | IST-REx-ID: 750
Pielorz J, Prandtstetter M, Straub M, Lampert C. Optimal geospatial volunteer allocation needs realistic distances. In: 2017 IEEE International Conference on Big Data. IEEE; 2017:3760-3763. doi:10.1109/BigData.2017.8258375
View | DOI
 
[85]
2017 | Published | Conference Paper | IST-REx-ID: 998 | OA
Rebuffi SA, Kolesnikov A, Sperl G, Lampert C. iCaRL: Incremental classifier and representation learning. In: Vol 2017. IEEE; 2017:5533-5542. doi:10.1109/CVPR.2017.587
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
[84]
2017 | Published | Conference Paper | IST-REx-ID: 999 | OA
Pentina A, Lampert C. Multi-task learning with labeled and unlabeled tasks. In: Vol 70. ML Research Press; 2017:2807-2816.
[Submitted Version] View | Download Submitted Version (ext.) | WoS
 
[83]
2017 | Published | Conference Paper | IST-REx-ID: 1000 | OA
Kolesnikov A, Lampert C. PixelCNN models with auxiliary variables for natural image modeling. In: 34th International Conference on Machine Learning. Vol 70. JMLR; 2017:1905-1914.
[Submitted Version] View | Download Submitted Version (ext.) | WoS | arXiv
 
[82]
2016 | Published | Conference Paper | IST-REx-ID: 1369 | OA
Kolesnikov A, Lampert C. Seed, expand and constrain: Three principles for weakly-supervised image segmentation. In: Vol 9908. Springer; 2016:695-711. doi:10.1007/978-3-319-46493-0_42
[Preprint] View | DOI | Download Preprint (ext.)
 
[81]
2016 | Published | Conference Paper | IST-REx-ID: 1102 | OA
Kolesnikov A, Lampert C. Improving weakly-supervised object localization by micro-annotation. In: Proceedings of the British Machine Vision Conference 2016. Vol 2016-September. BMVA Press; 2016:92.1-92.12. doi:10.5244/C.30.92
[Published Version] View | DOI | Download Published Version (ext.)
 
[80]
2016 | Published | Conference Paper | IST-REx-ID: 1707
Pielorz J, Lampert C. Optimal geospatial allocation of volunteers for crisis management. In: IEEE; 2016. doi:10.1109/ICT-DM.2015.7402041
View | DOI
 
[79]
2015 | Published | Conference Paper | IST-REx-ID: 1425 | OA
Pentina A, Lampert C. Lifelong learning with non-i.i.d. tasks. In: Vol 2015. Neural Information Processing Systems; 2015:1540-1548.
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[78]
2015 | Published | Conference Paper | IST-REx-ID: 1857 | OA
Pentina A, Sharmanska V, Lampert C. Curriculum learning of multiple tasks. In: IEEE; 2015:5492-5500. doi:10.1109/CVPR.2015.7299188
[Preprint] View | DOI | Download Preprint (ext.)
 
[77]
2015 | Published | Conference Paper | IST-REx-ID: 1858 | OA
Lampert C. Predicting the future behavior of a time-varying probability distribution. In: IEEE; 2015:942-950. doi:10.1109/CVPR.2015.7298696
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[76]
2015 | Published | Conference Paper | IST-REx-ID: 1859 | OA
Shah N, Kolmogorov V, Lampert C. A multi-plane block-coordinate Frank-Wolfe algorithm for training structural SVMs with a costly max-oracle. In: IEEE; 2015:2737-2745. doi:10.1109/CVPR.2015.7298890
[Preprint] View | DOI | Download Preprint (ext.)
 
[75]
2015 | Published | Conference Paper | IST-REx-ID: 1860 | OA
Royer A, Lampert C. Classifier adaptation at prediction time. In: IEEE; 2015:1401-1409. doi:10.1109/CVPR.2015.7298746
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[74]
2014 | Published | Book Chapter | IST-REx-ID: 1829
Muelling K, Kroemer O, Lampert C, Schölkopf B. Movement templates for learning of hitting and batting. In: Kober J, Peters J, eds. Learning Motor Skills. Vol 97. From Algorithms to Robot Experiments. Springer; 2014:69-82. doi:10.1007/978-3-319-03194-1_3
View | DOI
 
[73]
2014 | Published | Conference Paper | IST-REx-ID: 2033 | OA
Hernandez Lobato D, Sharmanska V, Kersting K, Lampert C, Quadrianto N. Mind the nuisance: Gaussian process classification using privileged noise. In: Advances in Neural Information Processing Systems. Vol 1. Neural Information Processing Systems; 2014:837-845.
[Submitted Version] View | Download Submitted Version (ext.)
 
[72]
2014 | Published | Conference Paper | IST-REx-ID: 2160 | OA
Pentina A, Lampert C. A PAC-Bayesian bound for Lifelong Learning. In: Vol 32. ML Research Press; 2014:991-999.
[Submitted Version] View | Download Submitted Version (ext.)
 
[71]
2014 | Published | Conference Paper | IST-REx-ID: 2171 | OA
Kolesnikov A, Guillaumin M, Ferrari V, Lampert C. Closed-form approximate CRF training for scalable image segmentation. In: Fleet D, Pajdla T, Schiele B, Tuytelaars T, eds. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol 8691. Springer; 2014:550-565. doi:10.1007/978-3-319-10578-9_36
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[70]
2014 | Published | Conference Paper | IST-REx-ID: 2172
Sydorov V, Sakurada M, Lampert C. 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. IEEE; 2014:1402-1409. doi:10.1109/CVPR.2014.182
View | DOI
 
[69]
2014 | Published | Conference Paper | IST-REx-ID: 2173 | OA
Khamis S, Lampert C. CoConut: Co-classification with output space regularization. In: Proceedings of the British Machine Vision Conference 2014. BMVA Press; 2014.
[Published Version] View | Files available
 
[68]
2013 | Published | Journal Article | IST-REx-ID: 2516
Lampert C, Nickisch H, Harmeling S. Attribute-based classification for zero-shot learning of object categories. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2013;36(3):453-465. doi:10.1109/TPAMI.2013.140
View | DOI
 
[67]
2013 | Published | Conference Paper | IST-REx-ID: 2901 | OA
Chen C, Kolmogorov V, Yan Z, Metaxas D, Lampert C. Computing the M most probable modes of a graphical model. In: Vol 31. JMLR; 2013:161-169.
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[66]
2013 | Published | Conference Paper | IST-REx-ID: 2948 | OA
Tommasi T, Quadrianto N, Caputo B, Lampert C. Beyond dataset bias: Multi-task unaligned shared knowledge transfer. 2013;7724:1-15. doi:10.1007/978-3-642-37331-2_1
[Submitted Version] View | Files available | DOI
 
[65]
2013 | Published | Encyclopedia Article | IST-REx-ID: 3321
Quadrianto N, Lampert C. Kernel based learning. In: Dubitzky W, Wolkenhauer O, Cho K, Yokota H, eds. Encyclopedia of Systems Biology. Vol 3. Springer; 2013:1069-1069. doi:10.1007/978-1-4419-9863-7_604
View | DOI
 
[64]
2013 | Published | Conference Paper | IST-REx-ID: 2293 | OA
Sharmanska V, Quadrianto N, Lampert C. Learning to rank using privileged information. In: IEEE; 2013:825-832. doi:10.1109/ICCV.2013.107
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[63]
2013 | Published | Conference Paper | IST-REx-ID: 2294 | OA
Kazmar T, Kvon E, Stark A, Lampert C. Drosophila Embryo Stage Annotation using Label Propagation. In: IEEE; 2013. doi:10.1109/ICCV.2013.139
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[62]
2012 | Published | Conference Paper | IST-REx-ID: 2825
Lampert C. Dynamic pruning of factor graphs for maximum marginal prediction. In: Vol 1. Neural Information Processing Systems; 2012:82-90.
View
 
[61]
2012 | Published | Conference Paper | IST-REx-ID: 2915
Kroemer O, Lampert C, Peters J. Multi-modal learning for dynamic tactile sensing. In: Deutsches Zentrum für Luft und Raumfahrt; 2012.
View
 
[60]
2012 | Published | Conference Paper | IST-REx-ID: 3124 | OA
Korc F, Kolmogorov V, Lampert C. Approximating marginals using discrete energy minimization. In: ICML; 2012.
[Submitted Version] View | Files available
 
[59]
2012 | Published | Conference Paper | IST-REx-ID: 3125 | OA
Sharmanska V, Quadrianto N, Lampert C. Augmented attribute representations. In: Vol 7576. Springer; 2012:242-255. doi:10.1007/978-3-642-33715-4_18
[Submitted Version] View | Files available | DOI
 
[58]
2012 | Published | Conference Paper | IST-REx-ID: 3126
Müller A, Nowozin S, Lampert C. Information theoretic clustering using minimal spanning trees. In: Vol 7476. Springer; 2012:205-215. doi:10.1007/978-3-642-32717-9_21
View | DOI
 
[57]
2012 | Published | Conference Paper | IST-REx-ID: 3127 | OA
Quadrianto N, Lampert C, Chen C. The most persistent soft-clique in a set of sampled graphs. In: Proceedings of the 29th International Conference on Machine Learning. ML Research Press; 2012:211-218.
[Preprint] View | Download Preprint (ext.)
 
[56]
2012 | Published | Journal Article | IST-REx-ID: 3164
Blaschko M, Lampert C. Guest editorial: Special issue on structured prediction and inference. International Journal of Computer Vision. 2012;99(3):257-258. doi:10.1007/s11263-012-0530-y
View | DOI
 
[55]
2012 | Published | Journal Article | IST-REx-ID: 3248 | OA
Lampert C, Peters J. Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components. Journal of Real-Time Image Processing. 2012;7(1):31-41. doi:10.1007/s11554-010-0168-3
[Submitted Version] View | Files available | DOI
 
[54]
2012 | Published | Technical Report | IST-REx-ID: 5396 | OA
Korc F, Kolmogorov V, Lampert C. Approximating Marginals Using Discrete Energy Minimization. IST Austria; 2012. doi:10.15479/AT:IST-2012-0003
[Published Version] View | Files available | DOI
 
[53]
2011 | Published | Conference Paper | IST-REx-ID: 3163
Lampert C. Maximum margin multi-label structured prediction. In: Neural Information Processing Systems; 2011.
View | Files available
 
[52]
2011 | Published | Conference Paper | IST-REx-ID: 3319
Quadrianto N, Lampert C. Learning multi-view neighborhood preserving projections. In: ML Research Press; 2011:425-432.
View
 
[51]
2011 | Published | Journal Article | IST-REx-ID: 3320 | OA
Nowozin S, Lampert C. Structured learning and prediction in computer vision. Foundations and Trends in Computer Graphics and Vision. 2011;6(3-4):185-365. doi:10.1561/0600000033
[Published Version] View | Files available | DOI
 
[50]
2011 | Published | Conference Poster | IST-REx-ID: 3322
Lampert C. Maximum Margin Multi Label Structured Prediction. Neural Information Processing Systems Foundation; 2011.
View | Files available
 
[49]
2011 | Published | Conference Paper | IST-REx-ID: 3336
Chen C, Freedman D, Lampert C. Enforcing topological constraints in random field image segmentation. In: CVPR: Computer Vision and Pattern Recognition. IEEE; 2011:2089-2096. doi:10.1109/CVPR.2011.5995503
View | Files available | DOI
 
[48]
2011 | Published | Conference Paper | IST-REx-ID: 3337
Wang Z, Lampert C, Mülling K, Schölkopf B, Peters J. Learning anticipation policies for robot table tennis. In: IEEE; 2011:332-337. doi:10.1109/IROS.2011.6094892
View | DOI
 
[47]
2011 | Published | Journal Article | IST-REx-ID: 3382
Kroemer O, Lampert C, Peters J. Learning dynamic tactile sensing with robust vision based training. IEEE Transactions on Robotics. 2011;27(3):545-557. doi:10.1109/TRO.2011.2121130
View | DOI
 
[46]
2011 | Published | Journal Article | IST-REx-ID: 3389
Blaschko M, Shelton J, Bartels A, Lampert C, Gretton A. Semi supervised kernel canonical correlation analysis with application to human fMRI. Pattern Recognition Letters. 2011;32(11):1572-1583. doi:10.1016/j.patrec.2011.02.011
View | DOI
 
[45]
2011 | Published | Technical Report | IST-REx-ID: 5386 | OA
Chen C, Freedman D, Lampert C. Enforcing Topological Constraints in Random Field Image Segmentation. IST Austria; 2011. doi:10.15479/AT:IST-2011-0002
[Published Version] View | Files available | DOI
 
[44]
2010 | Published | Conference Paper | IST-REx-ID: 3676
Wanke J, Ulges A, Lampert C, Breuel T. Topic models for semantic video compression. In: ACM; 2010:275-284. doi:10.1145/1743384.1743433
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[43]
2010 | Published | Conference Paper | IST-REx-ID: 3682
Tang K, Tappen M, Sukthankar R, Lampert C. Optimizing one-shot recognition with micro-set learning. In: IEEE; 2010:3027-3034. doi:10.1109/CVPR.2010.5540053
View | DOI
 
[42]
2010 | Published | Journal Article | IST-REx-ID: 3686
Nowozin S, Lampert C. Global interactions in random field models: A potential function ensuring connectedness. SIAM Journal on Imaging Sciences. 2010;3(4 (Special Section on Optimization in Imaging Sciences)):1048-1074. doi:10.1137/090752614
View | DOI
 
[41]
2010 | Published | Journal Article | IST-REx-ID: 3697
Tuytelaars T, Lampert C, Blaschko M, Buntine W. Unsupervised object discovery: A comparison. International Journal of Computer Vision. 2010;88(2):284-302. doi:10.1007/s11263-009-0271-8
View | DOI
 
[40]
2010 | Published | Conference Paper | IST-REx-ID: 3702
Kober J, Mülling K, Krömer O, Lampert C, Schölkopf B, Peters J. Movement templates for learning of hitting and batting. In: IEEE; 2010:853-858. doi:10.1109/ROBOT.2010.5509672
View | DOI | Download (ext.)
 
[39]
2010 | Published | Conference Paper | IST-REx-ID: 3713
Lampert C. An efficient divide-and-conquer cascade for nonlinear object detection. In: IEEE; 2010:1022-1029. doi:10.1109/CVPR.2010.5540107
View | DOI
 
[38]
2010 | Published | Conference Paper | IST-REx-ID: 3793 | OA
Nowozin S, Gehler P, Lampert C. On parameter learning in CRF-based approaches to object class image segmentation. In: Vol 6316. Springer; 2010:98-111. doi:10.1007/978-3-642-15567-3_8
[Submitted Version] View | Files available | DOI
 
[37]
2010 | Published | Conference Paper | IST-REx-ID: 3794
Lampert C, Krömer O. Weakly-paired maximum covariance analysis for multimodal dimensionality reduction and transfer learning. In: Vol 6312. Springer; 2010:566-579. doi:10.1007/978-3-642-15552-9_41
View | DOI | Download None (ext.)
 
[36]
2009 | Published | Conference Paper | IST-REx-ID: 3690
Dhillon P, Nowozin S, Lampert C. Combining appearance and motion for human action classification in videos. In: IEEE; 2009:22-29. doi:10.1109/CVPRW.2009.5204237
View | DOI
 
[35]
2009 | Published | Journal Article | IST-REx-ID: 3696
Lampert C, Blaschko M. Structured prediction by joint kernel support estimation. Machine Learning. 2009;77(2-3):249-269. doi:10.1007/s10994-009-5111-0
View | DOI
 
[34]
2009 | Published | Conference Poster | IST-REx-ID: 3699
Blaschko M, Lampert C, Bartels A. Semi-Supervised Analysis of Human FMRI Data. Berlin Institute of Technology; 2009.
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[33]
2009 | Published | Conference Paper | IST-REx-ID: 3703
Blaschko M, Lampert C. Object localization with global and local context kernels. In: BMVA Press; 2009:1-11. doi:10.5244/C.23.63
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[32]
2009 | Published | Conference Paper | IST-REx-ID: 3704
Lampert C, Nickisch H, Harmeling S. Learning to detect unseen object classes by between-class attribute transfer. In: IEEE; 2009:951-958. doi:10.1109/CVPR.2009.5206594
View | DOI
 
[31]
2009 | Published | Book | IST-REx-ID: 3707
Lampert C. Kernel Methods in Computer Vision. Vol 4. now publishers; 2009. doi:10.1561/0600000027
View | DOI
 
[30]
2009 | Published | Conference Paper | IST-REx-ID: 3708
Nowozin S, Lampert C. Global connectivity potentials for random field models. In: IEEE; 2009:818-825. doi:10.1109/CVPR.2009.5206567
View | DOI
 
[29]
2009 | Published | Conference Paper | IST-REx-ID: 3709
Lampert C. Detecting objects in large image collections and videos by efficient subimage retrieval. In: IEEE; 2009:987-994. doi:10.1109/ICCV.2009.5459359
View | DOI
 
[28]
2009 | Published | Journal Article | IST-REx-ID: 3710
Lampert C, Blaschko M, Hofmann T. Efficient subwindow search: A branch and bound framework for object localization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2009;31(12):2129-2142. doi:10.1109/TPAMI.2009.144
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[27]
2009 | Published | Conference Paper | IST-REx-ID: 3711
Dhillon P, Nowozin S, Lampert C. Combining appearance and motion for human action classification in videos. In: IEEE; 2009:22-29. doi:10.1109/CVPRW.2009.5204237
View | DOI | Download (ext.)
 
[26]
2009 | Published | Conference Paper | IST-REx-ID: 3715
Lampert C, Peters J. Active structured learning for high-speed object detection. In: Vol 5748. Springer; 2009:221-231. doi:10.1007/978-3-642-03798-6_23
View | DOI
 
[25]
2009 | Published | Conference Poster | IST-REx-ID: 3717
Lampert C, Peters J. A High-Speed Object Tracker from off-the-Shelf Components. IEEE; 2009.
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[24]
2008 | Published | Conference Paper | IST-REx-ID: 3694
Goldstein M, Lampert C, Reif M, Stahl A, Breuel T. Bayes optimal DDoS mitigation by adaptive history-based IP filtering. In: IEEE; 2008:174-179. doi:10.1109/ICN.2008.64
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[23]
2008 | Published | Conference Paper | IST-REx-ID: 3698
Blaschko M, Lampert C, Gretton A. Semi-supervised Laplacian regularization of kernel canonical correlation analysis. In: Vol 5211. Springer; 2008:133-145. doi:10.1007/978-3-540-87479-9_27
View | DOI
 
[22]
2008 | Published | Conference Paper | IST-REx-ID: 3700
Lampert C. Partitioning of image datasets using discriminative context information. In: IEEE; 2008:1-8. doi:10.1109/CVPR.2008.4587448
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[21]
2008 | Published | Conference Paper | IST-REx-ID: 3705
Blaschko M, Lampert C. Learning to localize objects with structured output regression. In: Vol 5302. Springer; 2008:2-15. doi:10.1007/978-3-540-88682-2_2
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[20]
2008 | Published | Conference Paper | IST-REx-ID: 3706
Lampert C, Blaschko M. Joint kernel support estimation for structured prediction. In: Curran Associates, Inc.; 2008:1-4.
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[19]
2008 | Published | Conference Paper | IST-REx-ID: 3712
Blaschko M, Lampert C. Correlational spectral clustering. In: IEEE; 2008:1-8. doi:10.1109/CVPR.2008.4587353
View | DOI
 
[18]
2008 | Published | Conference Paper | IST-REx-ID: 3714
Lampert C, Blaschko M, Hofmann T. Beyond sliding windows: Object localization by efficient subwindow search. In: IEEE; 2008:1-8. doi:10.1109/CVPR.2008.4587586
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[17]
2008 | Published | Conference Paper | IST-REx-ID: 3716
Lampert C, Blaschko M. A multiple kernel learning approach to joint multi-class object detection. In: Vol 5096. Springer; 2008:31-40. doi:10.1007/978-3-540-69321-5_4
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[16]
2007 | Published | Conference Paper | IST-REx-ID: 3681
Ulges A, Lampert C, Keysers D, Breuel T. Optimal dominant motion estimation using adaptive search of transformation space. In: Vol 4713. Springer; 2007:204-213. doi:10.1007/978-3-540-74936-3_21
View | DOI
 
[15]
2007 | Published | Report | IST-REx-ID: 3687
Blaschko M, Hofmann T, Lampert C. Efficient Subwindow Search for Object Localization. Max-Planck-Institute for Biological Cybernetics; 2007.
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[14]
2007 | Published | Conference Paper | IST-REx-ID: 3701
Ulges A, Lampert C, Keysers D, Breuel T. Optimal dominant motion estimation using adaptive search of transformation space. In: Vol 4713. Springer; 2007:204-213. doi:10.1007/978-3-540-74936-3_21
View | DOI
 
[13]
2006 | Published | Conference Paper | IST-REx-ID: 3677
Ulges A, Lampert C, Keysers D. Spatiogram-based shot distances for video retrieval. In: NIST (National Institute of Standards and Technology, US Department of Commerce); 2006:1-10.
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[12]
2006 | Published | Conference Paper | IST-REx-ID: 3679
Ali H, Lampert C, Breuel T. Satellite tracks removal in astronomical images. In: Vol 4225. Springer; 2006:892-901. doi:10.1007/11892755_92
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[11]
2006 | Published | Conference Paper | IST-REx-ID: 3680
Lampert C, Mei L, Breuel T. Printing technique classification for document counterfeit detection. In: Vol 1. IEEE; 2006:639-634. doi:10.1109/ICCIAS.2006.294214
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[10]
2006 | Published | Conference Paper | IST-REx-ID: 3683
Lampert C, Breuel T. Objective quality measurement for geometric document image restoration. In: Springer; 2006.
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[9]
2006 | Published | Conference Paper | IST-REx-ID: 3685
Lampert C. Machine learning for video compression: Macroblock mode decision. In: IEEE; 2006:936-940. doi:10.1109/ICPR.2006.778
View | DOI
 
[8]
2006 | Published | Conference Paper | IST-REx-ID: 3692
Keysers D, Lampert C, Breuel T. Color image dequantization by constrained diffusion. In: Vol 6058. SPIE; 2006. doi:10.1117/12.648713
View | DOI
 
[7]
2006 | Published | Conference Paper | IST-REx-ID: 3693
Lampert C, Wirjadi O. Anisotropic Gaussian filtering using fixed point arithmetic. In: IEEE; 2006:1565-1568. doi:10.1109/ICIP.2006.312606
View | DOI
 
[6]
2006 | Published | Journal Article | IST-REx-ID: 3695 | OA
Lampert C, Wirjadi O. An optimal non-orthogonal separation of the anisotropic Gaussian convolution filter. IEEE Transactions on Image Processing (TIP). 2006;15(11):3501-3513. doi: 10.1109/TIP.2006.877501
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[5]
2005 | Published | Conference Paper | IST-REx-ID: 3684
Lampert C, Braun T, Ulges A, Keysers D, Breuel T. Oblivious document capture and real-time retrieval. In: CBDAR; 2005:79-86.
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[4]
2005 | Published | Conference Paper | IST-REx-ID: 3689
Ulges A, Lampert C, Breuel T. Document image dewarping using robust estimation of curled text lines. In: Vol 2. IEEE; 2005:1001-1005. doi: 10.1109/ICDAR.2005.90
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[3]
2005 | Published | Journal Article | IST-REx-ID: 3691
Lampert C. Boundary regularity of admissible operators. Publicacions Matemàtiques. 2005;49(1):179-195. doi:10.5565/PUBLMAT_49105_08
View | DOI
 
[2]
2004 | Published | Conference Paper | IST-REx-ID: 3688
Ulges A, Lampert C, Breuel T. Document capture using stereo vision. In: ACM; 2004:198-200. doi:10.1145/1030397.1030434
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[1]
2003 | Published | Thesis | IST-REx-ID: 3678
Lampert C. The Neumann operator in strictly pseudoconvex domains with weighted Bergman metric . Bonner Mathematische Schriften. 2003;356:1-165.
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[125]
2023 | Accepted | Conference Paper | IST-REx-ID: 13053 | OA
Peste E-A, Vladu A, Kurtic E, Lampert C, Alistarh D-A. CrAM: A Compression-Aware Minimizer. In: 11th International Conference on Learning Representations .
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[124]
2023 | Published | Conference Paper | IST-REx-ID: 14410
Tomaszewska P, Lampert C. On the implementation of baselines and lightweight conditional model extrapolation (LIMES) under class-prior shift. In: International Workshop on Reproducible Research in Pattern Recognition. Vol 14068. Springer Nature; 2023:67-73. doi:10.1007/978-3-031-40773-4_6
View | DOI
 
[123]
2023 | In Press | 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. In: 37th Annual Conference on Neural Information Processing Systems.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[122]
2023 | Submitted | Preprint | IST-REx-ID: 15039 | OA
Prach B, Lampert C. 1-Lipschitz neural networks are more expressive with N-activations. arXiv. doi:10.48550/ARXIV.2311.06103
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[121]
2022 | Published | Journal Article | IST-REx-ID: 12495 | OA
Iofinova EB, Konstantinov NH, Lampert C. FLEA: Provably robust fair multisource learning from unreliable training data. Transactions on Machine Learning Research. 2022.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[120]
2022 | Submitted | Preprint | IST-REx-ID: 12660 | OA
Scott JA, Yeo MX, Lampert C. Cross-client Label Propagation for transductive federated learning. arXiv. doi:10.48550/arXiv.2210.06434
[Preprint] View | Files available | DOI | arXiv
 
[119]
2022 | Submitted | Preprint | IST-REx-ID: 12662 | OA
Súkeník P, Lampert C. Generalization in Multi-objective machine learning. arXiv. doi:10.48550/arXiv.2208.13499
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[118]
2022 | Published | Conference Paper | IST-REx-ID: 13241 | OA
Konstantinov NH, Lampert C. On the impossibility of fairness-aware learning from corrupted data. In: Proceedings of Machine Learning Research. Vol 171. ML Research Press; 2022:59-83.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[117]
2022 | Published | Conference Paper | IST-REx-ID: 11839 | OA
Prach B, Lampert C. Almost-orthogonal layers for efficient general-purpose Lipschitz networks. In: Computer Vision – ECCV 2022. Vol 13681. Springer Nature; 2022:350-365. doi:10.1007/978-3-031-19803-8_21
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[116]
2022 | Published | Conference Paper | IST-REx-ID: 12161 | OA
Tomaszewska P, Lampert C. Lightweight conditional model extrapolation for streaming data under class-prior shift. In: 26th International Conference on Pattern Recognition. Vol 2022. Institute of Electrical and Electronics Engineers; 2022:2128-2134. doi:10.1109/icpr56361.2022.9956195
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[115]
2022 | Published | Conference Paper | IST-REx-ID: 10752
Lampert J, Lampert C. Overcoming rare-language discrimination in multi-lingual sentiment analysis. In: 2021 IEEE International Conference on Big Data. IEEE; 2022:5185-5192. doi:10.1109/bigdata52589.2021.9672003
View | DOI | WoS
 
[114]
2022 | Published | Journal Article | IST-REx-ID: 10802 | OA
Konstantinov NH, Lampert C. Fairness-aware PAC learning from corrupted data. Journal of Machine Learning Research. 2022;23:1-60.
[Published Version] View | Files available | arXiv
 
[113]
2021 | Published | Book Chapter | IST-REx-ID: 14987
Lampert C. Zero-Shot Learning. In: Ikeuchi K, ed. Computer Vision. 2nd ed. Cham: Springer; 2021:1395-1397. doi:10.1007/978-3-030-63416-2_874
View | DOI
 
[112]
2021 | Published | Conference Paper | IST-REx-ID: 9210 | OA
Volhejn V, Lampert C. Does SGD implicitly optimize for smoothness? In: 42nd German Conference on Pattern Recognition. Vol 12544. LNCS. Springer; 2021:246-259. doi:10.1007/978-3-030-71278-5_18
[Submitted Version] View | Files available | DOI
 
[111]
2021 | Published | Conference Paper | IST-REx-ID: 9416 | OA
Phuong M, Lampert C. 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.)
 
[110]
2021 | Submitted | Preprint | IST-REx-ID: 10803 | OA
Konstantinov NH, Lampert C. Fairness through regularization for learning to rank. arXiv. doi:10.48550/arXiv.2102.05996
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[109]
2020 | Published | Conference Paper | IST-REx-ID: 7936 | OA
Royer A, Lampert C. Localizing grouped instances for efficient detection in low-resource scenarios. In: IEEE Winter Conference on Applications of Computer Vision. IEEE; 2020. doi:10.1109/WACV45572.2020.9093288
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[108]
2020 | Published | Conference Paper | IST-REx-ID: 7937 | OA
Royer A, Lampert C. A flexible selection scheme for minimum-effort transfer learning. In: 2020 IEEE Winter Conference on Applications of Computer Vision. IEEE; 2020. doi:10.1109/WACV45572.2020.9093635
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[107]
2020 | Submitted | Preprint | IST-REx-ID: 8063 | OA
Anciukevicius T, Lampert C, Henderson PM. Object-centric image generation with factored depths, locations, and appearances. arXiv.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[106]
2020 | Published | Conference Paper | IST-REx-ID: 8186 | OA
Henderson PM, Tsiminaki V, Lampert C. Leveraging 2D data to learn textured 3D mesh generation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE; 2020:7498-7507. doi:10.1109/CVPR42600.2020.00752
[Submitted Version] View | Files available | DOI | Download Submitted Version (ext.) | arXiv
 
[105]
2020 | Published | Conference Paper | IST-REx-ID: 8188 | OA
Henderson PM, Lampert C. Unsupervised object-centric video generation and decomposition in 3D. In: 34th Conference on Neural Information Processing Systems. Vol 33. Curran Associates; 2020:3106–3117.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[104]
2020 | Published | Conference Paper | IST-REx-ID: 8724 | OA
Konstantinov NH, Frantar E, Alistarh D-A, Lampert C. On the sample complexity of adversarial multi-source PAC learning. In: Proceedings of the 37th International Conference on Machine Learning. Vol 119. ML Research Press; 2020:5416-5425.
[Published Version] View | Files available | arXiv
 
[103]
2020 | Published | Journal Article | IST-REx-ID: 6944 | OA
Sun R, Lampert C. KS(conf): A light-weight test if a multiclass classifier operates outside of its specifications. International Journal of Computer Vision. 2020;128(4):970-995. doi:10.1007/s11263-019-01232-x
[Published Version] View | Files available | DOI | WoS
 
[102]
2020 | Published | Conference Paper | IST-REx-ID: 7481 | OA
Phuong M, Lampert C. Functional vs. parametric equivalence of ReLU networks. In: 8th International Conference on Learning Representations. ; 2020.
[Published Version] View | Files available
 
[101]
2019 | Published | Conference Paper | IST-REx-ID: 7640 | OA
Kolesnikov A, Kuznetsova A, Lampert C, Ferrari V. Detecting visual relationships using box attention. In: Proceedings of the 2019 International Conference on Computer Vision Workshop. IEEE; 2019. doi:10.1109/ICCVW.2019.00217
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[100]
2019 | Published | Conference Paper | IST-REx-ID: 6482 | OA
Sun R, Lampert C. KS(conf): A light-weight test if a ConvNet operates outside of Its specifications. In: Vol 11269. Springer Nature; 2019:244-259. doi:10.1007/978-3-030-12939-2_18
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[99]
2019 | Published | Journal Article | IST-REx-ID: 6554 | OA
Xian Y, Lampert C, Schiele B, Akata Z. Zero-shot learning - A comprehensive evaluation of the good, the bad and the ugly. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2019;41(9):2251-2265. doi:10.1109/tpami.2018.2857768
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[98]
2019 | Published | Conference Paper | IST-REx-ID: 6569 | OA
Phuong M, Lampert C. Towards understanding knowledge distillation. In: Proceedings of the 36th International Conference on Machine Learning. Vol 97. ML Research Press; 2019:5142-5151.
[Published Version] View | Files available
 
[97]
2019 | Published | Conference Paper | IST-REx-ID: 6590 | OA
Konstantinov NH, Lampert C. Robust learning from untrusted sources. In: Proceedings of the 36th International Conference on Machine Learning. Vol 97. ML Research Press; 2019:3488-3498.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[96]
2019 | Published | Conference Paper | IST-REx-ID: 6942 | OA
Ashok P, Brázdil T, Chatterjee K, Křetínský J, Lampert C, Toman V. Strategy representation by decision trees with linear classifiers. In: 16th International Conference on Quantitative Evaluation of Systems. Vol 11785. Springer Nature; 2019:109-128. doi:10.1007/978-3-030-30281-8_7
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[95]
2019 | Published | Book (Editor) | IST-REx-ID: 7171
Kersting K, Lampert C, Rothkopf C, eds. Wie Maschinen Lernen: Künstliche Intelligenz Verständlich Erklärt. 1st ed. Wiesbaden: Springer Nature; 2019. doi:10.1007/978-3-658-26763-6
View | Files available | DOI
 
[94]
2019 | Published | Conference Paper | IST-REx-ID: 7479 | OA
Phuong M, Lampert C. Distillation-based training for multi-exit architectures. In: IEEE International Conference on Computer Vision. Vol 2019-October. IEEE; 2019:1355-1364. doi:10.1109/ICCV.2019.00144
[Submitted Version] View | Files available | DOI | WoS
 
[93]
2018 | Published | Journal Article | IST-REx-ID: 321 | OA
Darrell T, Lampert C, Sebe N, Wu Y, Yan Y. 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. 2018;40(5):1029-1031. doi:10.1109/TPAMI.2018.2804998
[Published Version] View | Files available | DOI | WoS
 
[92]
2018 | Published | Conference Paper | IST-REx-ID: 6011 | OA
Kuzborskij I, Lampert C. Data-dependent stability of stochastic gradient descent. In: Proceedings of the 35 Th International Conference on Machine Learning. Vol 80. ML Research Press; 2018:2815-2824.
[Preprint] View | Download Preprint (ext.) | WoS | arXiv
 
[91]
2018 | Published | Conference Paper | IST-REx-ID: 6012 | OA
Sahoo S, Lampert C, Martius GS. Learning equations for extrapolation and control. In: Proceedings of the 35th International Conference on Machine Learning. Vol 80. ML Research Press; 2018:4442-4450.
[Preprint] View | Files available | Download Preprint (ext.) | WoS | arXiv
 
[90]
2018 | Published | Conference Paper | IST-REx-ID: 10882 | OA
Uijlings J, Konyushkova K, Lampert C, Ferrari V. Learning intelligent dialogs for bounding box annotation. In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE; 2018:9175-9184. doi:10.1109/cvpr.2018.00956
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[89]
2017 | Published | Conference Paper | IST-REx-ID: 911 | OA
Royer A, Kolesnikov A, Lampert C. Probabilistic image colorization. In: BMVA Press; 2017:85.1-85.12. doi:10.5244/c.31.85
[Published Version] View | Files available | DOI | arXiv
 
[88]
2017 | Published | Conference Paper | IST-REx-ID: 1108 | OA
Zimin A, Lampert C. Learning theory for conditional risk minimization. In: Vol 54. ML Research Press; 2017:213-222.
[Submitted Version] View | Download Submitted Version (ext.) | WoS
 
[87]
2017 | Published | Conference Paper | IST-REx-ID: 6841 | OA
Martius GS, Lampert C. 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
 
[86]
2017 | Published | Conference Paper | IST-REx-ID: 750
Pielorz J, Prandtstetter M, Straub M, Lampert C. Optimal geospatial volunteer allocation needs realistic distances. In: 2017 IEEE International Conference on Big Data. IEEE; 2017:3760-3763. doi:10.1109/BigData.2017.8258375
View | DOI
 
[85]
2017 | Published | Conference Paper | IST-REx-ID: 998 | OA
Rebuffi SA, Kolesnikov A, Sperl G, Lampert C. iCaRL: Incremental classifier and representation learning. In: Vol 2017. IEEE; 2017:5533-5542. doi:10.1109/CVPR.2017.587
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
[84]
2017 | Published | Conference Paper | IST-REx-ID: 999 | OA
Pentina A, Lampert C. Multi-task learning with labeled and unlabeled tasks. In: Vol 70. ML Research Press; 2017:2807-2816.
[Submitted Version] View | Download Submitted Version (ext.) | WoS
 
[83]
2017 | Published | Conference Paper | IST-REx-ID: 1000 | OA
Kolesnikov A, Lampert C. PixelCNN models with auxiliary variables for natural image modeling. In: 34th International Conference on Machine Learning. Vol 70. JMLR; 2017:1905-1914.
[Submitted Version] View | Download Submitted Version (ext.) | WoS | arXiv
 
[82]
2016 | Published | Conference Paper | IST-REx-ID: 1369 | OA
Kolesnikov A, Lampert C. Seed, expand and constrain: Three principles for weakly-supervised image segmentation. In: Vol 9908. Springer; 2016:695-711. doi:10.1007/978-3-319-46493-0_42
[Preprint] View | DOI | Download Preprint (ext.)
 
[81]
2016 | Published | Conference Paper | IST-REx-ID: 1102 | OA
Kolesnikov A, Lampert C. Improving weakly-supervised object localization by micro-annotation. In: Proceedings of the British Machine Vision Conference 2016. Vol 2016-September. BMVA Press; 2016:92.1-92.12. doi:10.5244/C.30.92
[Published Version] View | DOI | Download Published Version (ext.)
 
[80]
2016 | Published | Conference Paper | IST-REx-ID: 1707
Pielorz J, Lampert C. Optimal geospatial allocation of volunteers for crisis management. In: IEEE; 2016. doi:10.1109/ICT-DM.2015.7402041
View | DOI
 
[79]
2015 | Published | Conference Paper | IST-REx-ID: 1425 | OA
Pentina A, Lampert C. Lifelong learning with non-i.i.d. tasks. In: Vol 2015. Neural Information Processing Systems; 2015:1540-1548.
View | Download None (ext.)
 
[78]
2015 | Published | Conference Paper | IST-REx-ID: 1857 | OA
Pentina A, Sharmanska V, Lampert C. Curriculum learning of multiple tasks. In: IEEE; 2015:5492-5500. doi:10.1109/CVPR.2015.7299188
[Preprint] View | DOI | Download Preprint (ext.)
 
[77]
2015 | Published | Conference Paper | IST-REx-ID: 1858 | OA
Lampert C. Predicting the future behavior of a time-varying probability distribution. In: IEEE; 2015:942-950. doi:10.1109/CVPR.2015.7298696
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[76]
2015 | Published | Conference Paper | IST-REx-ID: 1859 | OA
Shah N, Kolmogorov V, Lampert C. A multi-plane block-coordinate Frank-Wolfe algorithm for training structural SVMs with a costly max-oracle. In: IEEE; 2015:2737-2745. doi:10.1109/CVPR.2015.7298890
[Preprint] View | DOI | Download Preprint (ext.)
 
[75]
2015 | Published | Conference Paper | IST-REx-ID: 1860 | OA
Royer A, Lampert C. Classifier adaptation at prediction time. In: IEEE; 2015:1401-1409. doi:10.1109/CVPR.2015.7298746
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[74]
2014 | Published | Book Chapter | IST-REx-ID: 1829
Muelling K, Kroemer O, Lampert C, Schölkopf B. Movement templates for learning of hitting and batting. In: Kober J, Peters J, eds. Learning Motor Skills. Vol 97. From Algorithms to Robot Experiments. Springer; 2014:69-82. doi:10.1007/978-3-319-03194-1_3
View | DOI
 
[73]
2014 | Published | Conference Paper | IST-REx-ID: 2033 | OA
Hernandez Lobato D, Sharmanska V, Kersting K, Lampert C, Quadrianto N. Mind the nuisance: Gaussian process classification using privileged noise. In: Advances in Neural Information Processing Systems. Vol 1. Neural Information Processing Systems; 2014:837-845.
[Submitted Version] View | Download Submitted Version (ext.)
 
[72]
2014 | Published | Conference Paper | IST-REx-ID: 2160 | OA
Pentina A, Lampert C. A PAC-Bayesian bound for Lifelong Learning. In: Vol 32. ML Research Press; 2014:991-999.
[Submitted Version] View | Download Submitted Version (ext.)
 
[71]
2014 | Published | Conference Paper | IST-REx-ID: 2171 | OA
Kolesnikov A, Guillaumin M, Ferrari V, Lampert C. Closed-form approximate CRF training for scalable image segmentation. In: Fleet D, Pajdla T, Schiele B, Tuytelaars T, eds. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol 8691. Springer; 2014:550-565. doi:10.1007/978-3-319-10578-9_36
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[70]
2014 | Published | Conference Paper | IST-REx-ID: 2172
Sydorov V, Sakurada M, Lampert C. 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. IEEE; 2014:1402-1409. doi:10.1109/CVPR.2014.182
View | DOI
 
[69]
2014 | Published | Conference Paper | IST-REx-ID: 2173 | OA
Khamis S, Lampert C. CoConut: Co-classification with output space regularization. In: Proceedings of the British Machine Vision Conference 2014. BMVA Press; 2014.
[Published Version] View | Files available
 
[68]
2013 | Published | Journal Article | IST-REx-ID: 2516
Lampert C, Nickisch H, Harmeling S. Attribute-based classification for zero-shot learning of object categories. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2013;36(3):453-465. doi:10.1109/TPAMI.2013.140
View | DOI
 
[67]
2013 | Published | Conference Paper | IST-REx-ID: 2901 | OA
Chen C, Kolmogorov V, Yan Z, Metaxas D, Lampert C. Computing the M most probable modes of a graphical model. In: Vol 31. JMLR; 2013:161-169.
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[66]
2013 | Published | Conference Paper | IST-REx-ID: 2948 | OA
Tommasi T, Quadrianto N, Caputo B, Lampert C. Beyond dataset bias: Multi-task unaligned shared knowledge transfer. 2013;7724:1-15. doi:10.1007/978-3-642-37331-2_1
[Submitted Version] View | Files available | DOI
 
[65]
2013 | Published | Encyclopedia Article | IST-REx-ID: 3321
Quadrianto N, Lampert C. Kernel based learning. In: Dubitzky W, Wolkenhauer O, Cho K, Yokota H, eds. Encyclopedia of Systems Biology. Vol 3. Springer; 2013:1069-1069. doi:10.1007/978-1-4419-9863-7_604
View | DOI
 
[64]
2013 | Published | Conference Paper | IST-REx-ID: 2293 | OA
Sharmanska V, Quadrianto N, Lampert C. Learning to rank using privileged information. In: IEEE; 2013:825-832. doi:10.1109/ICCV.2013.107
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[63]
2013 | Published | Conference Paper | IST-REx-ID: 2294 | OA
Kazmar T, Kvon E, Stark A, Lampert C. Drosophila Embryo Stage Annotation using Label Propagation. In: IEEE; 2013. doi:10.1109/ICCV.2013.139
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[62]
2012 | Published | Conference Paper | IST-REx-ID: 2825
Lampert C. Dynamic pruning of factor graphs for maximum marginal prediction. In: Vol 1. Neural Information Processing Systems; 2012:82-90.
View
 
[61]
2012 | Published | Conference Paper | IST-REx-ID: 2915
Kroemer O, Lampert C, Peters J. Multi-modal learning for dynamic tactile sensing. In: Deutsches Zentrum für Luft und Raumfahrt; 2012.
View
 
[60]
2012 | Published | Conference Paper | IST-REx-ID: 3124 | OA
Korc F, Kolmogorov V, Lampert C. Approximating marginals using discrete energy minimization. In: ICML; 2012.
[Submitted Version] View | Files available
 
[59]
2012 | Published | Conference Paper | IST-REx-ID: 3125 | OA
Sharmanska V, Quadrianto N, Lampert C. Augmented attribute representations. In: Vol 7576. Springer; 2012:242-255. doi:10.1007/978-3-642-33715-4_18
[Submitted Version] View | Files available | DOI
 
[58]
2012 | Published | Conference Paper | IST-REx-ID: 3126
Müller A, Nowozin S, Lampert C. Information theoretic clustering using minimal spanning trees. In: Vol 7476. Springer; 2012:205-215. doi:10.1007/978-3-642-32717-9_21
View | DOI
 
[57]
2012 | Published | Conference Paper | IST-REx-ID: 3127 | OA
Quadrianto N, Lampert C, Chen C. The most persistent soft-clique in a set of sampled graphs. In: Proceedings of the 29th International Conference on Machine Learning. ML Research Press; 2012:211-218.
[Preprint] View | Download Preprint (ext.)
 
[56]
2012 | Published | Journal Article | IST-REx-ID: 3164
Blaschko M, Lampert C. Guest editorial: Special issue on structured prediction and inference. International Journal of Computer Vision. 2012;99(3):257-258. doi:10.1007/s11263-012-0530-y
View | DOI
 
[55]
2012 | Published | Journal Article | IST-REx-ID: 3248 | OA
Lampert C, Peters J. Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components. Journal of Real-Time Image Processing. 2012;7(1):31-41. doi:10.1007/s11554-010-0168-3
[Submitted Version] View | Files available | DOI
 
[54]
2012 | Published | Technical Report | IST-REx-ID: 5396 | OA
Korc F, Kolmogorov V, Lampert C. Approximating Marginals Using Discrete Energy Minimization. IST Austria; 2012. doi:10.15479/AT:IST-2012-0003
[Published Version] View | Files available | DOI
 
[53]
2011 | Published | Conference Paper | IST-REx-ID: 3163
Lampert C. Maximum margin multi-label structured prediction. In: Neural Information Processing Systems; 2011.
View | Files available
 
[52]
2011 | Published | Conference Paper | IST-REx-ID: 3319
Quadrianto N, Lampert C. Learning multi-view neighborhood preserving projections. In: ML Research Press; 2011:425-432.
View
 
[51]
2011 | Published | Journal Article | IST-REx-ID: 3320 | OA
Nowozin S, Lampert C. Structured learning and prediction in computer vision. Foundations and Trends in Computer Graphics and Vision. 2011;6(3-4):185-365. doi:10.1561/0600000033
[Published Version] View | Files available | DOI
 
[50]
2011 | Published | Conference Poster | IST-REx-ID: 3322
Lampert C. Maximum Margin Multi Label Structured Prediction. Neural Information Processing Systems Foundation; 2011.
View | Files available
 
[49]
2011 | Published | Conference Paper | IST-REx-ID: 3336
Chen C, Freedman D, Lampert C. Enforcing topological constraints in random field image segmentation. In: CVPR: Computer Vision and Pattern Recognition. IEEE; 2011:2089-2096. doi:10.1109/CVPR.2011.5995503
View | Files available | DOI
 
[48]
2011 | Published | Conference Paper | IST-REx-ID: 3337
Wang Z, Lampert C, Mülling K, Schölkopf B, Peters J. Learning anticipation policies for robot table tennis. In: IEEE; 2011:332-337. doi:10.1109/IROS.2011.6094892
View | DOI
 
[47]
2011 | Published | Journal Article | IST-REx-ID: 3382
Kroemer O, Lampert C, Peters J. Learning dynamic tactile sensing with robust vision based training. IEEE Transactions on Robotics. 2011;27(3):545-557. doi:10.1109/TRO.2011.2121130
View | DOI
 
[46]
2011 | Published | Journal Article | IST-REx-ID: 3389
Blaschko M, Shelton J, Bartels A, Lampert C, Gretton A. Semi supervised kernel canonical correlation analysis with application to human fMRI. Pattern Recognition Letters. 2011;32(11):1572-1583. doi:10.1016/j.patrec.2011.02.011
View | DOI
 
[45]
2011 | Published | Technical Report | IST-REx-ID: 5386 | OA
Chen C, Freedman D, Lampert C. Enforcing Topological Constraints in Random Field Image Segmentation. IST Austria; 2011. doi:10.15479/AT:IST-2011-0002
[Published Version] View | Files available | DOI
 
[44]
2010 | Published | Conference Paper | IST-REx-ID: 3676
Wanke J, Ulges A, Lampert C, Breuel T. Topic models for semantic video compression. In: ACM; 2010:275-284. doi:10.1145/1743384.1743433
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[43]
2010 | Published | Conference Paper | IST-REx-ID: 3682
Tang K, Tappen M, Sukthankar R, Lampert C. Optimizing one-shot recognition with micro-set learning. In: IEEE; 2010:3027-3034. doi:10.1109/CVPR.2010.5540053
View | DOI
 
[42]
2010 | Published | Journal Article | IST-REx-ID: 3686
Nowozin S, Lampert C. Global interactions in random field models: A potential function ensuring connectedness. SIAM Journal on Imaging Sciences. 2010;3(4 (Special Section on Optimization in Imaging Sciences)):1048-1074. doi:10.1137/090752614
View | DOI
 
[41]
2010 | Published | Journal Article | IST-REx-ID: 3697
Tuytelaars T, Lampert C, Blaschko M, Buntine W. Unsupervised object discovery: A comparison. International Journal of Computer Vision. 2010;88(2):284-302. doi:10.1007/s11263-009-0271-8
View | DOI
 
[40]
2010 | Published | Conference Paper | IST-REx-ID: 3702
Kober J, Mülling K, Krömer O, Lampert C, Schölkopf B, Peters J. Movement templates for learning of hitting and batting. In: IEEE; 2010:853-858. doi:10.1109/ROBOT.2010.5509672
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[39]
2010 | Published | Conference Paper | IST-REx-ID: 3713
Lampert C. An efficient divide-and-conquer cascade for nonlinear object detection. In: IEEE; 2010:1022-1029. doi:10.1109/CVPR.2010.5540107
View | DOI
 
[38]
2010 | Published | Conference Paper | IST-REx-ID: 3793 | OA
Nowozin S, Gehler P, Lampert C. On parameter learning in CRF-based approaches to object class image segmentation. In: Vol 6316. Springer; 2010:98-111. doi:10.1007/978-3-642-15567-3_8
[Submitted Version] View | Files available | DOI
 
[37]
2010 | Published | Conference Paper | IST-REx-ID: 3794
Lampert C, Krömer O. Weakly-paired maximum covariance analysis for multimodal dimensionality reduction and transfer learning. In: Vol 6312. Springer; 2010:566-579. doi:10.1007/978-3-642-15552-9_41
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[36]
2009 | Published | Conference Paper | IST-REx-ID: 3690
Dhillon P, Nowozin S, Lampert C. Combining appearance and motion for human action classification in videos. In: IEEE; 2009:22-29. doi:10.1109/CVPRW.2009.5204237
View | DOI
 
[35]
2009 | Published | Journal Article | IST-REx-ID: 3696
Lampert C, Blaschko M. Structured prediction by joint kernel support estimation. Machine Learning. 2009;77(2-3):249-269. doi:10.1007/s10994-009-5111-0
View | DOI
 
[34]
2009 | Published | Conference Poster | IST-REx-ID: 3699
Blaschko M, Lampert C, Bartels A. Semi-Supervised Analysis of Human FMRI Data. Berlin Institute of Technology; 2009.
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[33]
2009 | Published | Conference Paper | IST-REx-ID: 3703
Blaschko M, Lampert C. Object localization with global and local context kernels. In: BMVA Press; 2009:1-11. doi:10.5244/C.23.63
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[32]
2009 | Published | Conference Paper | IST-REx-ID: 3704
Lampert C, Nickisch H, Harmeling S. Learning to detect unseen object classes by between-class attribute transfer. In: IEEE; 2009:951-958. doi:10.1109/CVPR.2009.5206594
View | DOI
 
[31]
2009 | Published | Book | IST-REx-ID: 3707
Lampert C. Kernel Methods in Computer Vision. Vol 4. now publishers; 2009. doi:10.1561/0600000027
View | DOI
 
[30]
2009 | Published | Conference Paper | IST-REx-ID: 3708
Nowozin S, Lampert C. Global connectivity potentials for random field models. In: IEEE; 2009:818-825. doi:10.1109/CVPR.2009.5206567
View | DOI
 
[29]
2009 | Published | Conference Paper | IST-REx-ID: 3709
Lampert C. Detecting objects in large image collections and videos by efficient subimage retrieval. In: IEEE; 2009:987-994. doi:10.1109/ICCV.2009.5459359
View | DOI
 
[28]
2009 | Published | Journal Article | IST-REx-ID: 3710
Lampert C, Blaschko M, Hofmann T. Efficient subwindow search: A branch and bound framework for object localization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2009;31(12):2129-2142. doi:10.1109/TPAMI.2009.144
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[27]
2009 | Published | Conference Paper | IST-REx-ID: 3711
Dhillon P, Nowozin S, Lampert C. Combining appearance and motion for human action classification in videos. In: IEEE; 2009:22-29. doi:10.1109/CVPRW.2009.5204237
View | DOI | Download (ext.)
 
[26]
2009 | Published | Conference Paper | IST-REx-ID: 3715
Lampert C, Peters J. Active structured learning for high-speed object detection. In: Vol 5748. Springer; 2009:221-231. doi:10.1007/978-3-642-03798-6_23
View | DOI
 
[25]
2009 | Published | Conference Poster | IST-REx-ID: 3717
Lampert C, Peters J. A High-Speed Object Tracker from off-the-Shelf Components. IEEE; 2009.
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[24]
2008 | Published | Conference Paper | IST-REx-ID: 3694
Goldstein M, Lampert C, Reif M, Stahl A, Breuel T. Bayes optimal DDoS mitigation by adaptive history-based IP filtering. In: IEEE; 2008:174-179. doi:10.1109/ICN.2008.64
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[23]
2008 | Published | Conference Paper | IST-REx-ID: 3698
Blaschko M, Lampert C, Gretton A. Semi-supervised Laplacian regularization of kernel canonical correlation analysis. In: Vol 5211. Springer; 2008:133-145. doi:10.1007/978-3-540-87479-9_27
View | DOI
 
[22]
2008 | Published | Conference Paper | IST-REx-ID: 3700
Lampert C. Partitioning of image datasets using discriminative context information. In: IEEE; 2008:1-8. doi:10.1109/CVPR.2008.4587448
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[21]
2008 | Published | Conference Paper | IST-REx-ID: 3705
Blaschko M, Lampert C. Learning to localize objects with structured output regression. In: Vol 5302. Springer; 2008:2-15. doi:10.1007/978-3-540-88682-2_2
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[20]
2008 | Published | Conference Paper | IST-REx-ID: 3706
Lampert C, Blaschko M. Joint kernel support estimation for structured prediction. In: Curran Associates, Inc.; 2008:1-4.
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[19]
2008 | Published | Conference Paper | IST-REx-ID: 3712
Blaschko M, Lampert C. Correlational spectral clustering. In: IEEE; 2008:1-8. doi:10.1109/CVPR.2008.4587353
View | DOI
 
[18]
2008 | Published | Conference Paper | IST-REx-ID: 3714
Lampert C, Blaschko M, Hofmann T. Beyond sliding windows: Object localization by efficient subwindow search. In: IEEE; 2008:1-8. doi:10.1109/CVPR.2008.4587586
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[17]
2008 | Published | Conference Paper | IST-REx-ID: 3716
Lampert C, Blaschko M. A multiple kernel learning approach to joint multi-class object detection. In: Vol 5096. Springer; 2008:31-40. doi:10.1007/978-3-540-69321-5_4
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[16]
2007 | Published | Conference Paper | IST-REx-ID: 3681
Ulges A, Lampert C, Keysers D, Breuel T. Optimal dominant motion estimation using adaptive search of transformation space. In: Vol 4713. Springer; 2007:204-213. doi:10.1007/978-3-540-74936-3_21
View | DOI
 
[15]
2007 | Published | Report | IST-REx-ID: 3687
Blaschko M, Hofmann T, Lampert C. Efficient Subwindow Search for Object Localization. Max-Planck-Institute for Biological Cybernetics; 2007.
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[14]
2007 | Published | Conference Paper | IST-REx-ID: 3701
Ulges A, Lampert C, Keysers D, Breuel T. Optimal dominant motion estimation using adaptive search of transformation space. In: Vol 4713. Springer; 2007:204-213. doi:10.1007/978-3-540-74936-3_21
View | DOI
 
[13]
2006 | Published | Conference Paper | IST-REx-ID: 3677
Ulges A, Lampert C, Keysers D. Spatiogram-based shot distances for video retrieval. In: NIST (National Institute of Standards and Technology, US Department of Commerce); 2006:1-10.
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[12]
2006 | Published | Conference Paper | IST-REx-ID: 3679
Ali H, Lampert C, Breuel T. Satellite tracks removal in astronomical images. In: Vol 4225. Springer; 2006:892-901. doi:10.1007/11892755_92
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[11]
2006 | Published | Conference Paper | IST-REx-ID: 3680
Lampert C, Mei L, Breuel T. Printing technique classification for document counterfeit detection. In: Vol 1. IEEE; 2006:639-634. doi:10.1109/ICCIAS.2006.294214
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[10]
2006 | Published | Conference Paper | IST-REx-ID: 3683
Lampert C, Breuel T. Objective quality measurement for geometric document image restoration. In: Springer; 2006.
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[9]
2006 | Published | Conference Paper | IST-REx-ID: 3685
Lampert C. Machine learning for video compression: Macroblock mode decision. In: IEEE; 2006:936-940. doi:10.1109/ICPR.2006.778
View | DOI
 
[8]
2006 | Published | Conference Paper | IST-REx-ID: 3692
Keysers D, Lampert C, Breuel T. Color image dequantization by constrained diffusion. In: Vol 6058. SPIE; 2006. doi:10.1117/12.648713
View | DOI
 
[7]
2006 | Published | Conference Paper | IST-REx-ID: 3693
Lampert C, Wirjadi O. Anisotropic Gaussian filtering using fixed point arithmetic. In: IEEE; 2006:1565-1568. doi:10.1109/ICIP.2006.312606
View | DOI
 
[6]
2006 | Published | Journal Article | IST-REx-ID: 3695 | OA
Lampert C, Wirjadi O. An optimal non-orthogonal separation of the anisotropic Gaussian convolution filter. IEEE Transactions on Image Processing (TIP). 2006;15(11):3501-3513. doi: 10.1109/TIP.2006.877501
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[5]
2005 | Published | Conference Paper | IST-REx-ID: 3684
Lampert C, Braun T, Ulges A, Keysers D, Breuel T. Oblivious document capture and real-time retrieval. In: CBDAR; 2005:79-86.
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[4]
2005 | Published | Conference Paper | IST-REx-ID: 3689
Ulges A, Lampert C, Breuel T. Document image dewarping using robust estimation of curled text lines. In: Vol 2. IEEE; 2005:1001-1005. doi: 10.1109/ICDAR.2005.90
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[3]
2005 | Published | Journal Article | IST-REx-ID: 3691
Lampert C. Boundary regularity of admissible operators. Publicacions Matemàtiques. 2005;49(1):179-195. doi:10.5565/PUBLMAT_49105_08
View | DOI
 
[2]
2004 | Published | Conference Paper | IST-REx-ID: 3688
Ulges A, Lampert C, Breuel T. Document capture using stereo vision. In: ACM; 2004:198-200. doi:10.1145/1030397.1030434
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[1]
2003 | Published | Thesis | IST-REx-ID: 3678
Lampert C. The Neumann operator in strictly pseudoconvex domains with weighted Bergman metric . Bonner Mathematische Schriften. 2003;356:1-165.
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