99 Publications

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[99]
2019 | Book (Editor) | IST-REx-ID: 7171
Kersting K, Lampert C, Rothkopf C eds. 2019. Wie Maschinen lernen, Springer Nature, 245p.
View | Files available | DOI
 
[98]
2019 | Journal Article | IST-REx-ID: 6554   OA
Xian Y, Lampert C, Schiele B, Akata Z. 2019. Zero-shot learning - A comprehensive evaluation of the good, the bad and the ugly. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(9), 2251–2265.
View | DOI | Download (ext.) | arXiv
 
[97]
2019 | Conference Paper | IST-REx-ID: 6942   OA
Ashok P, Brázdil T, Chatterjee K, Křetínský J, Lampert C, Toman V. 2019. Strategy representation by decision trees with linear classifiers. 16th International Conference on Quantitative Evaluation of Systems. QEST: Quantitative Evaluation of Systems, LNCS, vol. 11785. 109–128.
View | DOI | Download (ext.) | arXiv
 
[96]
2019 | Conference Paper | IST-REx-ID: 6569   OA
Bui Thi Mai P, Lampert C. 2019. Towards understanding knowledge distillation. Proceedings of the 36th International Conference on Machine Learning. ICML: International Conference on Machine Learning vol. 97. 5142–5151.
View | Files available
 
[95]
2019 | Conference Paper | IST-REx-ID: 6590   OA
Konstantinov NH, Lampert C. Robust learning from untrusted sources. Proceedings of the 36th International Conference on Machine Learning. ICML: International Conference on Machine Learning
View | Download (ext.) | arXiv
 
[94]
2019 | Conference Paper | IST-REx-ID: 6482
Sun R, Lampert C. 2019. KS(conf): A light-weight test if a ConvNet operates outside of Its specifications. GCPR: Conference on Pattern Recognition, LNCS, vol. 11269. 244–259.
View | Files available | DOI | Download (ext.) | arXiv
 
[93]
2019 | Journal Article | IST-REx-ID: 6944   OA
Sun R, Lampert C. 2019. KS(conf): A light-weight test if a multiclass classifier operates outside of its specifications. International Journal of Computer Vision.
View | Files available | DOI
 
[92]
2018 | Journal Article | IST-REx-ID: 321
Darrell T, Lampert C, Sebe N, Wu Y, Yan Y. 2018. Guest editors’ introduction to the special section on learning with Shared information for computer vision and multimedia analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(5), 1029–1031.
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[91]
2018 | Conference Paper | IST-REx-ID: 6011   OA
Kuzborskij I, Lampert C. 2018. Data-dependent stability of stochastic gradient descent. Proceedings of the 35 th International Conference on Machine Learning. ICML: International Conference on Machine Learning vol. 80. 2815–2824.
View | Download (ext.) | arXiv
 
[90]
2018 | Conference Paper | IST-REx-ID: 6012   OA
Sahoo S, Lampert C, Martius GS. 2018. Learning equations for extrapolation and control. Proceedings of the 35th International Conference on Machine Learning. ICML: International Conference on Machine Learning vol. 80. 4442–4450.
View | Files available | Download (ext.) | arXiv
 
[89]
2017 | Conference Paper | IST-REx-ID: 911   OA
Royer A, Kolesnikov A, Lampert C. Probabilistic image colorization. BMVC: British Machine Vision Conference
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[88]
2017 | Conference Paper | IST-REx-ID: 1000   OA
Kolesnikov A, Lampert C. 2017. PixelCNN models with auxiliary variables for natural image modeling. ICML: International Conference on Machine Learning, PMLR, vol. 70. 1905–1914.
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[87]
2017 | Conference Paper | IST-REx-ID: 6841   OA
Martius GS, Lampert C. 2017. Extrapolation and learning equations. 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings. ICLR: International Conference on Learning Representations
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[86]
2017 | Conference Paper | IST-REx-ID: 998   OA
Rebuffi SA, Kolesnikov A, Sperl G, Lampert C. 2017. iCaRL: Incremental classifier and representation learning. CVPR: Computer Vision and Pattern Recognition vol. 2017. 5533–5542.
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[85]
2017 | Conference Paper | IST-REx-ID: 999   OA
Pentina A, Lampert C. 2017. Multi-task learning with labeled and unlabeled tasks. ICML: International Conference on Machine Learning, PMLR, vol. 70. 2807–2816.
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[84]
2017 | Conference Paper | IST-REx-ID: 1108   OA
Zimin A, Lampert C. 2017. Learning theory for conditional risk minimization. AISTATS: Artificial Intelligence and Statistics, PMLR, vol. 54. 213–222.
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[83]
2017 | Conference Paper | IST-REx-ID: 750
Pielorz J, Prandtstetter M, Straub M, Lampert C. 2017. Optimal geospatial volunteer allocation needs realistic distances. 2017 IEEE International Conference on Big Data. Big Data 3760–3763.
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[82]
2016 | Conference Paper | IST-REx-ID: 1369   OA
Kolesnikov A, Lampert C. 2016. Seed, expand and constrain: Three principles for weakly-supervised image segmentation. ECCV: European Conference on Computer Vision, LNCS, vol. 9908. 695–711.
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[81]
2016 | Conference Paper | IST-REx-ID: 1707
Pielorz J, Lampert C. 2016. Optimal geospatial allocation of volunteers for crisis management. ICT-DM: Information and Communication Technologies for Disaster Management
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[80]
2016 | Conference Paper | IST-REx-ID: 1102   OA
Kolesnikov A, Lampert C. 2016. Improving weakly-supervised object localization by micro-annotation. Proceedings of the British Machine Vision Conference 2016. BMVC: British Machine Vision Conference vol. 2016–September. 92.1-92.12.
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[79]
2015 | Conference Paper | IST-REx-ID: 1857   OA
Pentina A, Sharmanska V, Lampert C. 2015. Curriculum learning of multiple tasks. CVPR: Computer Vision and Pattern Recognition 5492–5500.
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[78]
2015 | Conference Paper | IST-REx-ID: 1858   OA
Lampert C. 2015. Predicting the future behavior of a time-varying probability distribution. CVPR: Computer Vision and Pattern Recognition 942–950.
View | DOI | Download (ext.) | arXiv
 
[77]
2015 | Conference Paper | IST-REx-ID: 1860   OA
Royer A, Lampert C. 2015. Classifier adaptation at prediction time. CVPR: Computer Vision and Pattern Recognition 1401–1409.
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[76]
2015 | Conference Paper | IST-REx-ID: 1859   OA
Shah N, Kolmogorov V, Lampert C. 2015. A multi-plane block-coordinate Frank-Wolfe algorithm for training structural SVMs with a costly max-oracle. CVPR: Computer Vision and Pattern Recognition 2737–2745.
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[75]
2015 | Conference Paper | IST-REx-ID: 1425   OA
Pentina A, Lampert C. 2015. Lifelong learning with non-i.i.d. tasks. NIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 2015. 1540–1548.
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[74]
2014 | Conference Paper | IST-REx-ID: 2171   OA
Kolesnikov A, Guillaumin M, Ferrari V, Lampert C. 2014. Closed-form approximate CRF training for scalable image segmentation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ECCV: European Conference on Computer Vision, LNCS, vol. 8691. 550–565.
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[73]
2014 | Conference Paper | IST-REx-ID: 2033   OA
Hernandez Lobato D, Sharmanska V, Kersting K, Lampert C, Quadrianto N. 2014. Mind the nuisance: Gaussian process classification using privileged noise. Advances in Neural Information Processing Systems. NIPS: Neural Information Processing Systems vol. 1. 837–845.
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[72]
2014 | Conference Paper | IST-REx-ID: 2172
Sydorov V, Sakurada M, Lampert C. 2014. Deep Fisher Kernels – End to end learning of the Fisher Kernel GMM parameters. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR: Computer Vision and Pattern Recognition 1402–1409.
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[71]
2014 | Conference Paper | IST-REx-ID: 2160   OA
Pentina A, Lampert C. 2014. A PAC-Bayesian bound for Lifelong Learning. ICML: International Conference on Machine Learning vol. 32. 991–999.
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[70]
2014 | Conference Paper | IST-REx-ID: 2173   OA
Khamis S, Lampert C. 2014. CoConut: Co-classification with output space regularization. Proceedings of the British Machine Vision Conference 2014. BMVC: British Machine Vision Conference
View | Files available
 
[69]
2014 | Book Chapter | IST-REx-ID: 1829
Muelling K, Kroemer O, Lampert C, Schölkopf B. 2014. Movement templates for learning of hitting and batting. Learning Motor Skills. From Algorithms to Robot Experiments, Springer Tracts in Advanced Robotics, vol. 97. 69–82.
View | DOI
 
[68]
2013 | Conference Paper | IST-REx-ID: 2948   OA
Tommasi T, Quadrianto N, Caputo B, Lampert C. 2013. Beyond dataset bias: Multi-task unaligned shared knowledge transfer. 7724, 1–15.
View | Files available | DOI
 
[67]
2013 | Encyclopedia Article | IST-REx-ID: 3321
Quadrianto N, Lampert C. 2013. Kernel based learning. Encyclopedia of Systems Biology. vol. 3. 1069–1069.
View | DOI
 
[66]
2013 | Conference Paper | IST-REx-ID: 2901   OA
Chen C, Kolmogorov V, Yan Z, Metaxas D, Lampert C. 2013. Computing the M most probable modes of a graphical model. AISTATS: Conference on Uncertainty in Artificial Intelligence, JMLR: W&CP, vol. 31. 161–169.
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[65]
2013 | Conference Paper | IST-REx-ID: 2293   OA
Sharmanska V, Quadrianto N, Lampert C. 2013. Learning to rank using privileged information. ICCV: International Conference on Computer Vision 825–832.
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[64]
2013 | Journal Article | IST-REx-ID: 2516
Lampert C, Nickisch H, Harmeling S. 2013. Attribute-based classification for zero-shot learning of object categories. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(3), 453–465.
View | DOI
 
[63]
2013 | Conference Paper | IST-REx-ID: 2294   OA
Kazmar T, Kvon E, Stark A, Lampert C. 2013. Drosophila Embryo Stage Annotation using Label Propagation. ICCV: International Conference on Computer Vision
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[62]
2012 | Conference Paper | IST-REx-ID: 3124
Korc F, Kolmogorov V, Lampert C. 2012. Approximating marginals using discrete energy minimization. ICML: International Conference on Machine Learning, Inferning 2012,
View | Files available
 
[61]
2012 | Technical Report | IST-REx-ID: 5396   OA
Korc F, Kolmogorov V, Lampert C. 2012. Approximating marginals using discrete energy minimization, IST Austria, 13p.
View | Files available | DOI
 
[60]
2012 | Conference Paper | IST-REx-ID: 3125
Sharmanska V, Quadrianto N, Lampert C. 2012. Augmented attribute representations. ECCV: European Conference on Computer Vision, LNCS, vol. 7576. 242–255.
View | DOI
 
[59]
2012 | Conference Paper | IST-REx-ID: 2825
Lampert C. 2012. Dynamic pruning of factor graphs for maximum marginal prediction. NIPS: Neural Information Processing Systems vol. 1. 82–90.
View
 
[58]
2012 | Conference Paper | IST-REx-ID: 3126
Müller A, Nowozin S, Lampert C. 2012. Information theoretic clustering using minimal spanning trees. DAGM: German Association For Pattern Recognition, LNCS, vol. 7476. 205–215.
View | DOI
 
[57]
2012 | Journal Article | IST-REx-ID: 3164
Blaschko M, Lampert C. 2012. Guest editorial: Special issue on structured prediction and inference. International Journal of Computer Vision. 99(3), 257–258.
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[56]
2012 | Conference Paper | IST-REx-ID: 2915
Kroemer O, Lampert C, Peters J. 2012. Multi-modal learning for dynamic tactile sensing
View
 
[55]
2012 | Conference Paper | IST-REx-ID: 3127   OA
Quadrianto N, Lampert C, Chen C. 2012. The most persistent soft-clique in a set of sampled graphs. Proceedings of the 29th International Conference on Machine Learning. ICML: International Conference on Machine Learning 211–218.
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[54]
2012 | Journal Article | IST-REx-ID: 3248   OA
Lampert C, Peters J. 2012. Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components. Journal of Real-Time Image Processing. 7(1), 31–41.
View | Files available | DOI
 
[53]
2011 | Conference Paper | IST-REx-ID: 3319
Quadrianto N, Lampert C. 2011. Learning multi-view neighborhood preserving projections. ICML: International Conference on Machine Learning 425–432.
View
 
[52]
2011 | Conference Paper | IST-REx-ID: 3163
Lampert C. 2011. Maximum margin multi-label structured prediction. NIPS: Neural Information Processing Systems
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[51]
2011 | Conference Poster | IST-REx-ID: 3322
Lampert C. 2011. Maximum margin multi label structured prediction, Neural Information Processing Systems,p.
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[50]
2011 | Journal Article | IST-REx-ID: 3389
Blaschko M, Shelton J, Bartels A, Lampert C, Gretton A. 2011. Semi supervised kernel canonical correlation analysis with application to human fMRI. Pattern Recognition Letters. 32(11), 1572–1583.
View | DOI
 
[49]
2011 | Technical Report | IST-REx-ID: 5386   OA
Chen C, Freedman D, Lampert C. 2011. Enforcing topological constraints in random field image segmentation, IST Austria, 69p.
View | Files available | DOI
 
[48]
2011 | Conference Paper | IST-REx-ID: 3336
Chen C, Freedman D, Lampert C. 2011. Enforcing topological constraints in random field image segmentation. CVPR: Computer Vision and Pattern Recognition. CVPR: Conference on Computer Vision and Pattern Recognition 2089–2096.
View | Files available | DOI
 
[47]
2011 | Journal Article | IST-REx-ID: 3320
Nowozin S, Lampert C. 2011. Structured learning and prediction in computer vision. Foundations and Trends in Computer Graphics and Vision. 6(3–4), 185–365.
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[46]
2011 | Journal Article | IST-REx-ID: 3382
Kroemer O, Lampert C, Peters J. 2011. Learning dynamic tactile sensing with robust vision based training. IEEE Transactions on Robotics. 27(3), 545–557.
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[45]
2011 | Conference Paper | IST-REx-ID: 3337
Wang Z, Lampert C, Mülling K, Schölkopf B, Peters J. 2011. Learning anticipation policies for robot table tennis. IROS: RSJ International Conference on Intelligent Robots and Systems 332–337.
View | DOI
 
[44]
2010 | Journal Article | IST-REx-ID: 3686
Nowozin S, Lampert C. 2010. Global interactions in random field models: A potential function ensuring connectedness. SIAM Journal on Imaging Sciences. 3(4 (Special Section on Optimization in Imaging Sciences)), 1048–1074.
View | DOI
 
[43]
2010 | Conference Paper | IST-REx-ID: 3713
Lampert C. 2010. An efficient divide-and-conquer cascade for nonlinear object detection. CVPR: Computer Vision and Pattern Recognition 1022–1029.
View | DOI
 
[42]
2010 | Conference Paper | IST-REx-ID: 3794
Lampert C, Krömer O. 2010. Weakly-paired maximum covariance analysis for multimodal dimensionality reduction and transfer learning. ECCV: European Conference on Computer Vision, LNCS, vol. 6312. 566–579.
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[41]
2010 | Conference Paper | IST-REx-ID: 3682
Tang K, Tappen M, Sukthankar R, Lampert C. 2010. Optimizing one-shot recognition with micro-set learning. CVPR: Computer Vision and Pattern Recognition 3027–3034.
View | DOI
 
[40]
2010 | Conference Paper | IST-REx-ID: 3702
Kober J, Mülling K, Krömer O, Lampert C, Schölkopf B, Peters J. 2010. Movement templates for learning of hitting and batting. ICRA: International Conference on Robotics and Automation 853–858.
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[39]
2010 | Conference Paper | IST-REx-ID: 3676
Wanke J, Ulges A, Lampert C, Breuel T. 2010. Topic models for semantic video compression. MIR: Multimedia Information Retrieval 275–284.
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[38]
2010 | Journal Article | IST-REx-ID: 3697
Tuytelaars T, Lampert C, Blaschko M, Buntine W. 2010. Unsupervised object discovery: A comparison. International Journal of Computer Vision. 88(2), 284–302.
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[37]
2010 | Conference Paper | IST-REx-ID: 3793
Nowozin S, Gehler P, Lampert C. 2010. On parameter learning in CRF-based approaches to object class image segmentation. ECCV: European Conference on Computer Vision, LNCS, vol. 6316. 98–111.
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[36]
2009 | Conference Poster | IST-REx-ID: 3699
Blaschko M, Lampert C, Bartels A. 2009. Semi-supervised analysis of human fMRI data, Berlin Institute of Technology,p.
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[35]
2009 | Book | IST-REx-ID: 3707
Lampert C. 2009. Kernel methods in computer vision, now,p.
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[34]
2009 | Conference Paper | IST-REx-ID: 3690
Dhillon P, Nowozin S, Lampert C. 2009. Combining appearance and motion for human action classification in videos. CVPR: Computer Vision and Pattern Recognition 22–29.
View | DOI
 
[33]
2009 | Conference Paper | IST-REx-ID: 3703
Blaschko M, Lampert C. 2009. Object localization with global and local context kernels. BMVC: British Machine Vision Conference, Proceedings of the BMVC, 1–11.
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[32]
2009 | Conference Paper | IST-REx-ID: 3708
Nowozin S, Lampert C. 2009. Global connectivity potentials for random field models. CVPR: Computer Vision and Pattern Recognition 818–825.
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[31]
2009 | Journal Article | IST-REx-ID: 3710
Lampert C, Blaschko M, Hofmann T. 2009. Efficient subwindow search: A branch and bound framework for object localization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 31(12), 2129–2142.
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[30]
2009 | Conference Paper | IST-REx-ID: 3715
Lampert C, Peters J. 2009. Active structured learning for high-speed object detection. DAGM: German Association For Pattern Recognition, LNCS, vol. 5748. 221–231.
View | DOI
 
[29]
2009 | Journal Article | IST-REx-ID: 3696
Lampert C, Blaschko M. 2009. Structured prediction by joint kernel support estimation. Machine Learning. 77(2–3), 249–269.
View | DOI
 
[28]
2009 | Conference Paper | IST-REx-ID: 3704
Lampert C, Nickisch H, Harmeling S. 2009. Learning to detect unseen object classes by between-class attribute transfer. CVPR: Computer Vision and Pattern Recognition 951–958.
View | DOI
 
[27]
2009 | Conference Paper | IST-REx-ID: 3709
Lampert C. 2009. Detecting objects in large image collections and videos by efficient subimage retrieval. ICCV: International Conference on Computer Vision 987–994.
View | DOI
 
[26]
2009 | Conference Paper | IST-REx-ID: 3711
Dhillon P, Nowozin S, Lampert C. 2009. Combining appearance and motion for human action classification in videos. CVPR: Computer Vision and Pattern Recognition 22–29.
View | DOI | Download (ext.)
 
[25]
2009 | Conference Poster | IST-REx-ID: 3717
Lampert C, Peters J. 2009. A high-speed object tracker from off-the-shelf components, IEEE,p.
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[24]
2008 | Conference Paper | IST-REx-ID: 3698
Blaschko M, Lampert C, Gretton A. 2008. Semi-supervised Laplacian regularization of kernel canonical correlation analysis. ECML: European Conference on Machine Learning, LNCS, vol. 5211. 133–145.
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[23]
2008 | Conference Paper | IST-REx-ID: 3706
Lampert C, Blaschko M. 2008. Joint kernel support estimation for structured prediction. NIPS SISO: NIPS Workshop on ‘Structured Input - Structured Output’ 1–4.
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[22]
2008 | Conference Paper | IST-REx-ID: 3694
Goldstein M, Lampert C, Reif M, Stahl A, Breuel T. 2008. Bayes optimal DDoS mitigation by adaptive history-based IP filtering. ICN: International Conference on Networking 174–179.
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[21]
2008 | Conference Paper | IST-REx-ID: 3714
Lampert C, Blaschko M, Hofmann T. 2008. Beyond sliding windows: Object localization by efficient subwindow search. CVPR: Computer Vision and Pattern Recognition 1–8.
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[20]
2008 | Conference Paper | IST-REx-ID: 3716
Lampert C, Blaschko M. 2008. A multiple kernel learning approach to joint multi-class object detection. DAGM: German Association For Pattern Recognition, LNCS, vol. 5096. 31–40.
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[19]
2008 | Conference Paper | IST-REx-ID: 3700
Lampert C. 2008. Partitioning of image datasets using discriminative context information. CVPR: Computer Vision and Pattern Recognition 1–8.
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[18]
2008 | Conference Paper | IST-REx-ID: 3705
Blaschko M, Lampert C. 2008. Learning to localize objects with structured output regression. ECCV: European Conference on Computer Vision, LNCS, vol. 5302. 2–15.
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[17]
2008 | Conference Paper | IST-REx-ID: 3712
Blaschko M, Lampert C. 2008. Correlational spectral clustering. CVPR: Computer Vision and Pattern Recognition 1–8.
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[16]
2007 | Conference Paper | IST-REx-ID: 3681
Ulges A, Lampert C, Keysers D, Breuel T. 2007. Optimal dominant motion estimation using adaptive search of transformation space. DAGM: German Association For Pattern Recognition, LCNS, vol. 4713. 204–213.
View | DOI
 
[15]
2007 | Conference Paper | IST-REx-ID: 3701
Ulges A, Lampert C, Keysers D, Breuel T. 2007. Optimal dominant motion estimation using adaptive search of transformation space. DAGM: German Association For Pattern Recognition, LNCS, vol. 4713. 204–213.
View | DOI
 
[14]
2007 | Report | IST-REx-ID: 3687
Blaschko M, Hofmann T, Lampert C. 2007. Efficient subwindow search for object localization, Max-Planck-Institute for Biological Cybernetics,p.
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[13]
2006 | Conference Paper | IST-REx-ID: 3679
Ali H, Lampert C, Breuel T. 2006. Satellite tracks removal in astronomical images. CIARP: Iberoamerican Congress in Pattern Recognition, LNCS, vol. 4225. 892–901.
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[12]
2006 | Conference Paper | IST-REx-ID: 3693
Lampert C, Wirjadi O. 2006. Anisotropic Gaussian filtering using fixed point arithmetic. ICIP: IEEE International Conference on Image Processing 1565–1568.
View | DOI
 
[11]
2006 | Conference Paper | IST-REx-ID: 3683
Lampert C, Breuel T. 2006. Objective quality measurement for geometric document image restoration. DAS: Document Analysis Systems
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[10]
2006 | Journal Article | IST-REx-ID: 3695   OA
Lampert C, Wirjadi O. 2006. An optimal non-orthogonal separation of the anisotropic Gaussian convolution filter. IEEE Transactions on Image Processing (TIP). 15(11), 3501–3513.
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[9]
2006 | Conference Paper | IST-REx-ID: 3677
Ulges A, Lampert C, Keysers D. 2006. Spatiogram-based shot distances for video retrieval. TRECVID Workshop, TRECVID Notebook Papers and Slides, 1–10.
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[8]
2006 | Conference Paper | IST-REx-ID: 3680
Lampert C, Mei L, Breuel T. 2006. Printing technique classification for document counterfeit detection. CIS: Computational Intelligence and Security vol. 1. 639–634.
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[7]
2006 | Conference Paper | IST-REx-ID: 3685
Lampert C. 2006. Machine learning for video compression: Macroblock mode decision. ICPR: International Conference on Pattern Recognition 936–940.
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[6]
2006 | Conference Paper | IST-REx-ID: 3692
Keysers D, Lampert C, Breuel T. 2006. Color image dequantization by constrained diffusion. SPIE Electronic Imaging vol. 6058.
View | DOI
 
[5]
2005 | Conference Paper | IST-REx-ID: 3684
Lampert C, Braun T, Ulges A, Keysers D, Breuel T. 2005. Oblivious document capture and real-time retrieval. CBDAR: Camera Based Document Analysis and Recognition 79–86.
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[4]
2005 | Conference Paper | IST-REx-ID: 3689
Ulges A, Lampert C, Breuel T. 2005. Document image dewarping using robust estimation of curled text lines. ICDAR: International Conference on Document Analysis and Recognition, Document Analysis and Recognition, vol. 2. 1001–1005.
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[3]
2005 | Journal Article | IST-REx-ID: 3691
Lampert C. 2005. Boundary regularity of admissible operators. Publicacions Matemàtiques. 49(1), 179–195.
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[2]
2004 | Conference Paper | IST-REx-ID: 3688
Ulges A, Lampert C, Breuel T. 2004. Document capture using stereo vision. DocEng: ACM Symposium on Document Engineering 198–200.
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[1]
2003 | Thesis | IST-REx-ID: 3678
Lampert C. 2003. The Neumann operator in strictly pseudoconvex domains with weighted Bergman metric , Universität Bonn, Fachbibliothek Mathematik,p.
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99 Publications

Mark all

[99]
2019 | Book (Editor) | IST-REx-ID: 7171
Kersting K, Lampert C, Rothkopf C eds. 2019. Wie Maschinen lernen, Springer Nature, 245p.
View | Files available | DOI
 
[98]
2019 | Journal Article | IST-REx-ID: 6554   OA
Xian Y, Lampert C, Schiele B, Akata Z. 2019. Zero-shot learning - A comprehensive evaluation of the good, the bad and the ugly. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(9), 2251–2265.
View | DOI | Download (ext.) | arXiv
 
[97]
2019 | Conference Paper | IST-REx-ID: 6942   OA
Ashok P, Brázdil T, Chatterjee K, Křetínský J, Lampert C, Toman V. 2019. Strategy representation by decision trees with linear classifiers. 16th International Conference on Quantitative Evaluation of Systems. QEST: Quantitative Evaluation of Systems, LNCS, vol. 11785. 109–128.
View | DOI | Download (ext.) | arXiv
 
[96]
2019 | Conference Paper | IST-REx-ID: 6569   OA
Bui Thi Mai P, Lampert C. 2019. Towards understanding knowledge distillation. Proceedings of the 36th International Conference on Machine Learning. ICML: International Conference on Machine Learning vol. 97. 5142–5151.
View | Files available
 
[95]
2019 | Conference Paper | IST-REx-ID: 6590   OA
Konstantinov NH, Lampert C. Robust learning from untrusted sources. Proceedings of the 36th International Conference on Machine Learning. ICML: International Conference on Machine Learning
View | Download (ext.) | arXiv
 
[94]
2019 | Conference Paper | IST-REx-ID: 6482
Sun R, Lampert C. 2019. KS(conf): A light-weight test if a ConvNet operates outside of Its specifications. GCPR: Conference on Pattern Recognition, LNCS, vol. 11269. 244–259.
View | Files available | DOI | Download (ext.) | arXiv
 
[93]
2019 | Journal Article | IST-REx-ID: 6944   OA
Sun R, Lampert C. 2019. KS(conf): A light-weight test if a multiclass classifier operates outside of its specifications. International Journal of Computer Vision.
View | Files available | DOI
 
[92]
2018 | Journal Article | IST-REx-ID: 321
Darrell T, Lampert C, Sebe N, Wu Y, Yan Y. 2018. Guest editors’ introduction to the special section on learning with Shared information for computer vision and multimedia analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(5), 1029–1031.
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[91]
2018 | Conference Paper | IST-REx-ID: 6011   OA
Kuzborskij I, Lampert C. 2018. Data-dependent stability of stochastic gradient descent. Proceedings of the 35 th International Conference on Machine Learning. ICML: International Conference on Machine Learning vol. 80. 2815–2824.
View | Download (ext.) | arXiv
 
[90]
2018 | Conference Paper | IST-REx-ID: 6012   OA
Sahoo S, Lampert C, Martius GS. 2018. Learning equations for extrapolation and control. Proceedings of the 35th International Conference on Machine Learning. ICML: International Conference on Machine Learning vol. 80. 4442–4450.
View | Files available | Download (ext.) | arXiv
 
[89]
2017 | Conference Paper | IST-REx-ID: 911   OA
Royer A, Kolesnikov A, Lampert C. Probabilistic image colorization. BMVC: British Machine Vision Conference
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[88]
2017 | Conference Paper | IST-REx-ID: 1000   OA
Kolesnikov A, Lampert C. 2017. PixelCNN models with auxiliary variables for natural image modeling. ICML: International Conference on Machine Learning, PMLR, vol. 70. 1905–1914.
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[87]
2017 | Conference Paper | IST-REx-ID: 6841   OA
Martius GS, Lampert C. 2017. Extrapolation and learning equations. 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings. ICLR: International Conference on Learning Representations
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[86]
2017 | Conference Paper | IST-REx-ID: 998   OA
Rebuffi SA, Kolesnikov A, Sperl G, Lampert C. 2017. iCaRL: Incremental classifier and representation learning. CVPR: Computer Vision and Pattern Recognition vol. 2017. 5533–5542.
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[85]
2017 | Conference Paper | IST-REx-ID: 999   OA
Pentina A, Lampert C. 2017. Multi-task learning with labeled and unlabeled tasks. ICML: International Conference on Machine Learning, PMLR, vol. 70. 2807–2816.
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[84]
2017 | Conference Paper | IST-REx-ID: 1108   OA
Zimin A, Lampert C. 2017. Learning theory for conditional risk minimization. AISTATS: Artificial Intelligence and Statistics, PMLR, vol. 54. 213–222.
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[83]
2017 | Conference Paper | IST-REx-ID: 750
Pielorz J, Prandtstetter M, Straub M, Lampert C. 2017. Optimal geospatial volunteer allocation needs realistic distances. 2017 IEEE International Conference on Big Data. Big Data 3760–3763.
View | DOI
 
[82]
2016 | Conference Paper | IST-REx-ID: 1369   OA
Kolesnikov A, Lampert C. 2016. Seed, expand and constrain: Three principles for weakly-supervised image segmentation. ECCV: European Conference on Computer Vision, LNCS, vol. 9908. 695–711.
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[81]
2016 | Conference Paper | IST-REx-ID: 1707
Pielorz J, Lampert C. 2016. Optimal geospatial allocation of volunteers for crisis management. ICT-DM: Information and Communication Technologies for Disaster Management
View | DOI
 
[80]
2016 | Conference Paper | IST-REx-ID: 1102   OA
Kolesnikov A, Lampert C. 2016. Improving weakly-supervised object localization by micro-annotation. Proceedings of the British Machine Vision Conference 2016. BMVC: British Machine Vision Conference vol. 2016–September. 92.1-92.12.
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[79]
2015 | Conference Paper | IST-REx-ID: 1857   OA
Pentina A, Sharmanska V, Lampert C. 2015. Curriculum learning of multiple tasks. CVPR: Computer Vision and Pattern Recognition 5492–5500.
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[78]
2015 | Conference Paper | IST-REx-ID: 1858   OA
Lampert C. 2015. Predicting the future behavior of a time-varying probability distribution. CVPR: Computer Vision and Pattern Recognition 942–950.
View | DOI | Download (ext.) | arXiv
 
[77]
2015 | Conference Paper | IST-REx-ID: 1860   OA
Royer A, Lampert C. 2015. Classifier adaptation at prediction time. CVPR: Computer Vision and Pattern Recognition 1401–1409.
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[76]
2015 | Conference Paper | IST-REx-ID: 1859   OA
Shah N, Kolmogorov V, Lampert C. 2015. A multi-plane block-coordinate Frank-Wolfe algorithm for training structural SVMs with a costly max-oracle. CVPR: Computer Vision and Pattern Recognition 2737–2745.
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[75]
2015 | Conference Paper | IST-REx-ID: 1425   OA
Pentina A, Lampert C. 2015. Lifelong learning with non-i.i.d. tasks. NIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 2015. 1540–1548.
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[74]
2014 | Conference Paper | IST-REx-ID: 2171   OA
Kolesnikov A, Guillaumin M, Ferrari V, Lampert C. 2014. Closed-form approximate CRF training for scalable image segmentation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ECCV: European Conference on Computer Vision, LNCS, vol. 8691. 550–565.
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[73]
2014 | Conference Paper | IST-REx-ID: 2033   OA
Hernandez Lobato D, Sharmanska V, Kersting K, Lampert C, Quadrianto N. 2014. Mind the nuisance: Gaussian process classification using privileged noise. Advances in Neural Information Processing Systems. NIPS: Neural Information Processing Systems vol. 1. 837–845.
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[72]
2014 | Conference Paper | IST-REx-ID: 2172
Sydorov V, Sakurada M, Lampert C. 2014. Deep Fisher Kernels – End to end learning of the Fisher Kernel GMM parameters. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR: Computer Vision and Pattern Recognition 1402–1409.
View | DOI
 
[71]
2014 | Conference Paper | IST-REx-ID: 2160   OA
Pentina A, Lampert C. 2014. A PAC-Bayesian bound for Lifelong Learning. ICML: International Conference on Machine Learning vol. 32. 991–999.
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[70]
2014 | Conference Paper | IST-REx-ID: 2173   OA
Khamis S, Lampert C. 2014. CoConut: Co-classification with output space regularization. Proceedings of the British Machine Vision Conference 2014. BMVC: British Machine Vision Conference
View | Files available
 
[69]
2014 | Book Chapter | IST-REx-ID: 1829
Muelling K, Kroemer O, Lampert C, Schölkopf B. 2014. Movement templates for learning of hitting and batting. Learning Motor Skills. From Algorithms to Robot Experiments, Springer Tracts in Advanced Robotics, vol. 97. 69–82.
View | DOI
 
[68]
2013 | Conference Paper | IST-REx-ID: 2948   OA
Tommasi T, Quadrianto N, Caputo B, Lampert C. 2013. Beyond dataset bias: Multi-task unaligned shared knowledge transfer. 7724, 1–15.
View | Files available | DOI
 
[67]
2013 | Encyclopedia Article | IST-REx-ID: 3321
Quadrianto N, Lampert C. 2013. Kernel based learning. Encyclopedia of Systems Biology. vol. 3. 1069–1069.
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[66]
2013 | Conference Paper | IST-REx-ID: 2901   OA
Chen C, Kolmogorov V, Yan Z, Metaxas D, Lampert C. 2013. Computing the M most probable modes of a graphical model. AISTATS: Conference on Uncertainty in Artificial Intelligence, JMLR: W&CP, vol. 31. 161–169.
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[65]
2013 | Conference Paper | IST-REx-ID: 2293   OA
Sharmanska V, Quadrianto N, Lampert C. 2013. Learning to rank using privileged information. ICCV: International Conference on Computer Vision 825–832.
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[64]
2013 | Journal Article | IST-REx-ID: 2516
Lampert C, Nickisch H, Harmeling S. 2013. Attribute-based classification for zero-shot learning of object categories. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(3), 453–465.
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[63]
2013 | Conference Paper | IST-REx-ID: 2294   OA
Kazmar T, Kvon E, Stark A, Lampert C. 2013. Drosophila Embryo Stage Annotation using Label Propagation. ICCV: International Conference on Computer Vision
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[62]
2012 | Conference Paper | IST-REx-ID: 3124
Korc F, Kolmogorov V, Lampert C. 2012. Approximating marginals using discrete energy minimization. ICML: International Conference on Machine Learning, Inferning 2012,
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[61]
2012 | Technical Report | IST-REx-ID: 5396   OA
Korc F, Kolmogorov V, Lampert C. 2012. Approximating marginals using discrete energy minimization, IST Austria, 13p.
View | Files available | DOI
 
[60]
2012 | Conference Paper | IST-REx-ID: 3125
Sharmanska V, Quadrianto N, Lampert C. 2012. Augmented attribute representations. ECCV: European Conference on Computer Vision, LNCS, vol. 7576. 242–255.
View | DOI
 
[59]
2012 | Conference Paper | IST-REx-ID: 2825
Lampert C. 2012. Dynamic pruning of factor graphs for maximum marginal prediction. NIPS: Neural Information Processing Systems vol. 1. 82–90.
View
 
[58]
2012 | Conference Paper | IST-REx-ID: 3126
Müller A, Nowozin S, Lampert C. 2012. Information theoretic clustering using minimal spanning trees. DAGM: German Association For Pattern Recognition, LNCS, vol. 7476. 205–215.
View | DOI
 
[57]
2012 | Journal Article | IST-REx-ID: 3164
Blaschko M, Lampert C. 2012. Guest editorial: Special issue on structured prediction and inference. International Journal of Computer Vision. 99(3), 257–258.
View | DOI
 
[56]
2012 | Conference Paper | IST-REx-ID: 2915
Kroemer O, Lampert C, Peters J. 2012. Multi-modal learning for dynamic tactile sensing
View
 
[55]
2012 | Conference Paper | IST-REx-ID: 3127   OA
Quadrianto N, Lampert C, Chen C. 2012. The most persistent soft-clique in a set of sampled graphs. Proceedings of the 29th International Conference on Machine Learning. ICML: International Conference on Machine Learning 211–218.
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[54]
2012 | Journal Article | IST-REx-ID: 3248   OA
Lampert C, Peters J. 2012. Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components. Journal of Real-Time Image Processing. 7(1), 31–41.
View | Files available | DOI
 
[53]
2011 | Conference Paper | IST-REx-ID: 3319
Quadrianto N, Lampert C. 2011. Learning multi-view neighborhood preserving projections. ICML: International Conference on Machine Learning 425–432.
View
 
[52]
2011 | Conference Paper | IST-REx-ID: 3163
Lampert C. 2011. Maximum margin multi-label structured prediction. NIPS: Neural Information Processing Systems
View | Files available
 
[51]
2011 | Conference Poster | IST-REx-ID: 3322
Lampert C. 2011. Maximum margin multi label structured prediction, Neural Information Processing Systems,p.
View | Files available
 
[50]
2011 | Journal Article | IST-REx-ID: 3389
Blaschko M, Shelton J, Bartels A, Lampert C, Gretton A. 2011. Semi supervised kernel canonical correlation analysis with application to human fMRI. Pattern Recognition Letters. 32(11), 1572–1583.
View | DOI
 
[49]
2011 | Technical Report | IST-REx-ID: 5386   OA
Chen C, Freedman D, Lampert C. 2011. Enforcing topological constraints in random field image segmentation, IST Austria, 69p.
View | Files available | DOI
 
[48]
2011 | Conference Paper | IST-REx-ID: 3336
Chen C, Freedman D, Lampert C. 2011. Enforcing topological constraints in random field image segmentation. CVPR: Computer Vision and Pattern Recognition. CVPR: Conference on Computer Vision and Pattern Recognition 2089–2096.
View | Files available | DOI
 
[47]
2011 | Journal Article | IST-REx-ID: 3320
Nowozin S, Lampert C. 2011. Structured learning and prediction in computer vision. Foundations and Trends in Computer Graphics and Vision. 6(3–4), 185–365.
View | DOI
 
[46]
2011 | Journal Article | IST-REx-ID: 3382
Kroemer O, Lampert C, Peters J. 2011. Learning dynamic tactile sensing with robust vision based training. IEEE Transactions on Robotics. 27(3), 545–557.
View | DOI
 
[45]
2011 | Conference Paper | IST-REx-ID: 3337
Wang Z, Lampert C, Mülling K, Schölkopf B, Peters J. 2011. Learning anticipation policies for robot table tennis. IROS: RSJ International Conference on Intelligent Robots and Systems 332–337.
View | DOI
 
[44]
2010 | Journal Article | IST-REx-ID: 3686
Nowozin S, Lampert C. 2010. Global interactions in random field models: A potential function ensuring connectedness. SIAM Journal on Imaging Sciences. 3(4 (Special Section on Optimization in Imaging Sciences)), 1048–1074.
View | DOI
 
[43]
2010 | Conference Paper | IST-REx-ID: 3713
Lampert C. 2010. An efficient divide-and-conquer cascade for nonlinear object detection. CVPR: Computer Vision and Pattern Recognition 1022–1029.
View | DOI
 
[42]
2010 | Conference Paper | IST-REx-ID: 3794
Lampert C, Krömer O. 2010. Weakly-paired maximum covariance analysis for multimodal dimensionality reduction and transfer learning. ECCV: European Conference on Computer Vision, LNCS, vol. 6312. 566–579.
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[41]
2010 | Conference Paper | IST-REx-ID: 3682
Tang K, Tappen M, Sukthankar R, Lampert C. 2010. Optimizing one-shot recognition with micro-set learning. CVPR: Computer Vision and Pattern Recognition 3027–3034.
View | DOI
 
[40]
2010 | Conference Paper | IST-REx-ID: 3702
Kober J, Mülling K, Krömer O, Lampert C, Schölkopf B, Peters J. 2010. Movement templates for learning of hitting and batting. ICRA: International Conference on Robotics and Automation 853–858.
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[39]
2010 | Conference Paper | IST-REx-ID: 3676
Wanke J, Ulges A, Lampert C, Breuel T. 2010. Topic models for semantic video compression. MIR: Multimedia Information Retrieval 275–284.
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[38]
2010 | Journal Article | IST-REx-ID: 3697
Tuytelaars T, Lampert C, Blaschko M, Buntine W. 2010. Unsupervised object discovery: A comparison. International Journal of Computer Vision. 88(2), 284–302.
View | DOI
 
[37]
2010 | Conference Paper | IST-REx-ID: 3793
Nowozin S, Gehler P, Lampert C. 2010. On parameter learning in CRF-based approaches to object class image segmentation. ECCV: European Conference on Computer Vision, LNCS, vol. 6316. 98–111.
View | DOI
 
[36]
2009 | Conference Poster | IST-REx-ID: 3699
Blaschko M, Lampert C, Bartels A. 2009. Semi-supervised analysis of human fMRI data, Berlin Institute of Technology,p.
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[35]
2009 | Book | IST-REx-ID: 3707
Lampert C. 2009. Kernel methods in computer vision, now,p.
View | DOI
 
[34]
2009 | Conference Paper | IST-REx-ID: 3690
Dhillon P, Nowozin S, Lampert C. 2009. Combining appearance and motion for human action classification in videos. CVPR: Computer Vision and Pattern Recognition 22–29.
View | DOI
 
[33]
2009 | Conference Paper | IST-REx-ID: 3703
Blaschko M, Lampert C. 2009. Object localization with global and local context kernels. BMVC: British Machine Vision Conference, Proceedings of the BMVC, 1–11.
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[32]
2009 | Conference Paper | IST-REx-ID: 3708
Nowozin S, Lampert C. 2009. Global connectivity potentials for random field models. CVPR: Computer Vision and Pattern Recognition 818–825.
View | DOI
 
[31]
2009 | Journal Article | IST-REx-ID: 3710
Lampert C, Blaschko M, Hofmann T. 2009. Efficient subwindow search: A branch and bound framework for object localization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 31(12), 2129–2142.
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[30]
2009 | Conference Paper | IST-REx-ID: 3715
Lampert C, Peters J. 2009. Active structured learning for high-speed object detection. DAGM: German Association For Pattern Recognition, LNCS, vol. 5748. 221–231.
View | DOI
 
[29]
2009 | Journal Article | IST-REx-ID: 3696
Lampert C, Blaschko M. 2009. Structured prediction by joint kernel support estimation. Machine Learning. 77(2–3), 249–269.
View | DOI
 
[28]
2009 | Conference Paper | IST-REx-ID: 3704
Lampert C, Nickisch H, Harmeling S. 2009. Learning to detect unseen object classes by between-class attribute transfer. CVPR: Computer Vision and Pattern Recognition 951–958.
View | DOI
 
[27]
2009 | Conference Paper | IST-REx-ID: 3709
Lampert C. 2009. Detecting objects in large image collections and videos by efficient subimage retrieval. ICCV: International Conference on Computer Vision 987–994.
View | DOI
 
[26]
2009 | Conference Paper | IST-REx-ID: 3711
Dhillon P, Nowozin S, Lampert C. 2009. Combining appearance and motion for human action classification in videos. CVPR: Computer Vision and Pattern Recognition 22–29.
View | DOI | Download (ext.)
 
[25]
2009 | Conference Poster | IST-REx-ID: 3717
Lampert C, Peters J. 2009. A high-speed object tracker from off-the-shelf components, IEEE,p.
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[24]
2008 | Conference Paper | IST-REx-ID: 3698
Blaschko M, Lampert C, Gretton A. 2008. Semi-supervised Laplacian regularization of kernel canonical correlation analysis. ECML: European Conference on Machine Learning, LNCS, vol. 5211. 133–145.
View | DOI
 
[23]
2008 | Conference Paper | IST-REx-ID: 3706
Lampert C, Blaschko M. 2008. Joint kernel support estimation for structured prediction. NIPS SISO: NIPS Workshop on ‘Structured Input - Structured Output’ 1–4.
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[22]
2008 | Conference Paper | IST-REx-ID: 3694
Goldstein M, Lampert C, Reif M, Stahl A, Breuel T. 2008. Bayes optimal DDoS mitigation by adaptive history-based IP filtering. ICN: International Conference on Networking 174–179.
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[21]
2008 | Conference Paper | IST-REx-ID: 3714
Lampert C, Blaschko M, Hofmann T. 2008. Beyond sliding windows: Object localization by efficient subwindow search. CVPR: Computer Vision and Pattern Recognition 1–8.
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[20]
2008 | Conference Paper | IST-REx-ID: 3716
Lampert C, Blaschko M. 2008. A multiple kernel learning approach to joint multi-class object detection. DAGM: German Association For Pattern Recognition, LNCS, vol. 5096. 31–40.
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[19]
2008 | Conference Paper | IST-REx-ID: 3700
Lampert C. 2008. Partitioning of image datasets using discriminative context information. CVPR: Computer Vision and Pattern Recognition 1–8.
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[18]
2008 | Conference Paper | IST-REx-ID: 3705
Blaschko M, Lampert C. 2008. Learning to localize objects with structured output regression. ECCV: European Conference on Computer Vision, LNCS, vol. 5302. 2–15.
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[17]
2008 | Conference Paper | IST-REx-ID: 3712
Blaschko M, Lampert C. 2008. Correlational spectral clustering. CVPR: Computer Vision and Pattern Recognition 1–8.
View | DOI
 
[16]
2007 | Conference Paper | IST-REx-ID: 3681
Ulges A, Lampert C, Keysers D, Breuel T. 2007. Optimal dominant motion estimation using adaptive search of transformation space. DAGM: German Association For Pattern Recognition, LCNS, vol. 4713. 204–213.
View | DOI
 
[15]
2007 | Conference Paper | IST-REx-ID: 3701
Ulges A, Lampert C, Keysers D, Breuel T. 2007. Optimal dominant motion estimation using adaptive search of transformation space. DAGM: German Association For Pattern Recognition, LNCS, vol. 4713. 204–213.
View | DOI
 
[14]
2007 | Report | IST-REx-ID: 3687
Blaschko M, Hofmann T, Lampert C. 2007. Efficient subwindow search for object localization, Max-Planck-Institute for Biological Cybernetics,p.
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[13]
2006 | Conference Paper | IST-REx-ID: 3679
Ali H, Lampert C, Breuel T. 2006. Satellite tracks removal in astronomical images. CIARP: Iberoamerican Congress in Pattern Recognition, LNCS, vol. 4225. 892–901.
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[12]
2006 | Conference Paper | IST-REx-ID: 3693
Lampert C, Wirjadi O. 2006. Anisotropic Gaussian filtering using fixed point arithmetic. ICIP: IEEE International Conference on Image Processing 1565–1568.
View | DOI
 
[11]
2006 | Conference Paper | IST-REx-ID: 3683
Lampert C, Breuel T. 2006. Objective quality measurement for geometric document image restoration. DAS: Document Analysis Systems
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[10]
2006 | Journal Article | IST-REx-ID: 3695   OA
Lampert C, Wirjadi O. 2006. An optimal non-orthogonal separation of the anisotropic Gaussian convolution filter. IEEE Transactions on Image Processing (TIP). 15(11), 3501–3513.
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[9]
2006 | Conference Paper | IST-REx-ID: 3677
Ulges A, Lampert C, Keysers D. 2006. Spatiogram-based shot distances for video retrieval. TRECVID Workshop, TRECVID Notebook Papers and Slides, 1–10.
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[8]
2006 | Conference Paper | IST-REx-ID: 3680
Lampert C, Mei L, Breuel T. 2006. Printing technique classification for document counterfeit detection. CIS: Computational Intelligence and Security vol. 1. 639–634.
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[7]
2006 | Conference Paper | IST-REx-ID: 3685
Lampert C. 2006. Machine learning for video compression: Macroblock mode decision. ICPR: International Conference on Pattern Recognition 936–940.
View | DOI
 
[6]
2006 | Conference Paper | IST-REx-ID: 3692
Keysers D, Lampert C, Breuel T. 2006. Color image dequantization by constrained diffusion. SPIE Electronic Imaging vol. 6058.
View | DOI
 
[5]
2005 | Conference Paper | IST-REx-ID: 3684
Lampert C, Braun T, Ulges A, Keysers D, Breuel T. 2005. Oblivious document capture and real-time retrieval. CBDAR: Camera Based Document Analysis and Recognition 79–86.
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[4]
2005 | Conference Paper | IST-REx-ID: 3689
Ulges A, Lampert C, Breuel T. 2005. Document image dewarping using robust estimation of curled text lines. ICDAR: International Conference on Document Analysis and Recognition, Document Analysis and Recognition, vol. 2. 1001–1005.
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[3]
2005 | Journal Article | IST-REx-ID: 3691
Lampert C. 2005. Boundary regularity of admissible operators. Publicacions Matemàtiques. 49(1), 179–195.
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[2]
2004 | Conference Paper | IST-REx-ID: 3688
Ulges A, Lampert C, Breuel T. 2004. Document capture using stereo vision. DocEng: ACM Symposium on Document Engineering 198–200.
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[1]
2003 | Thesis | IST-REx-ID: 3678
Lampert C. 2003. The Neumann operator in strictly pseudoconvex domains with weighted Bergman metric , Universität Bonn, Fachbibliothek Mathematik,p.
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