99 Publications

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[99]
2019 | Book (Editor) | IST-REx-ID: 7171
Kersting, Kristian, et al., editors. Wie Maschinen Lernen. Springer Nature, 2019, doi:10.1007/978-3-658-26763-6.
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[98]
2019 | Journal Article | IST-REx-ID: 6554   OA
Xian, Yongqin, et al. “Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly.” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, no. 9, Institute of Electrical and Electronics Engineers (IEEE), 2019, pp. 2251–65, doi:10.1109/tpami.2018.2857768.
View | DOI | Download (ext.) | arXiv
 
[97]
2019 | Conference Paper | IST-REx-ID: 6942   OA
Ashok, Pranav, et al. “Strategy Representation by Decision Trees with Linear Classifiers.” 16th International Conference on Quantitative Evaluation of Systems, vol. 11785, Springer Nature, 2019, pp. 109–28, doi:10.1007/978-3-030-30281-8_7.
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[96]
2019 | Conference Paper | IST-REx-ID: 6569   OA
Bui Thi Mai, Phuong, and Christoph Lampert. “Towards Understanding Knowledge Distillation.” Proceedings of the 36th International Conference on Machine Learning, vol. 97, PMLR, 2019, pp. 5142–51.
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[95]
2019 | Conference Paper | IST-REx-ID: 6590   OA
Konstantinov, Nikola H., and Christoph Lampert. “Robust Learning from Untrusted Sources.” Proceedings of the 36th International Conference on Machine Learning.
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[94]
2019 | Conference Paper | IST-REx-ID: 6482
Sun, Rémy, and Christoph Lampert. KS(Conf): A Light-Weight Test If a ConvNet Operates Outside of Its Specifications. Vol. 11269, Springer Nature, 2019, pp. 244–59, doi:10.1007/978-3-030-12939-2_18.
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[93]
2019 | Journal Article | IST-REx-ID: 6944   OA
Sun, Rémy, and Christoph Lampert. “KS(Conf): A Light-Weight Test If a Multiclass Classifier Operates Outside of Its Specifications.” International Journal of Computer Vision, Springer Nature, 2019, doi:10.1007/s11263-019-01232-x.
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[92]
2018 | Journal Article | IST-REx-ID: 321
Darrell, Trevor, et al. “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, vol. 40, no. 5, IEEE, 2018, pp. 1029–31, doi:10.1109/TPAMI.2018.2804998.
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[91]
2018 | Conference Paper | IST-REx-ID: 6011   OA
Kuzborskij, Ilja, and Christoph Lampert. “Data-Dependent Stability of Stochastic Gradient Descent.” Proceedings of the 35 Th International Conference on Machine Learning, vol. 80, International Machine Learning Society, 2018, pp. 2815–24.
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[90]
2018 | Conference Paper | IST-REx-ID: 6012   OA
Sahoo, Subham, et al. “Learning Equations for Extrapolation and Control.” Proceedings of the 35th International Conference on Machine Learning, vol. 80, International Machine Learning Society, 2018, pp. 4442–50.
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[89]
2017 | Conference Paper | IST-REx-ID: 911   OA
Royer, Amélie, et al. Probabilistic Image Colorization. BMVA Press.
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[88]
2017 | Conference Paper | IST-REx-ID: 1000   OA
Kolesnikov, Alexander, and Christoph Lampert. PixelCNN Models with Auxiliary Variables for Natural Image Modeling. Vol. 70, Omnipress, 2017, pp. 1905–14.
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[87]
2017 | Conference Paper | IST-REx-ID: 6841   OA
Martius, Georg S., and Christoph Lampert. “Extrapolation and Learning Equations.” 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings, International Conference on Learning Representations, 2017.
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[86]
2017 | Conference Paper | IST-REx-ID: 998   OA
Rebuffi, Sylvestre Alvise, et al. ICaRL: Incremental Classifier and Representation Learning. Vol. 2017, IEEE, 2017, pp. 5533–42, doi:10.1109/CVPR.2017.587.
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[85]
2017 | Conference Paper | IST-REx-ID: 999   OA
Pentina, Anastasia, and Christoph Lampert. Multi-Task Learning with Labeled and Unlabeled Tasks. Vol. 70, Omnipress, 2017, pp. 2807–16.
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[84]
2017 | Conference Paper | IST-REx-ID: 1108   OA
Zimin, Alexander, and Christoph Lampert. Learning Theory for Conditional Risk Minimization. Vol. 54, JMLR, Inc. and Microtome Publishing, 2017, pp. 213–22.
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[83]
2017 | Conference Paper | IST-REx-ID: 750
Pielorz, Jasmin, et al. “Optimal Geospatial Volunteer Allocation Needs Realistic Distances.” 2017 IEEE International Conference on Big Data, IEEE, 2017, pp. 3760–63, doi:10.1109/BigData.2017.8258375.
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[82]
2016 | Conference Paper | IST-REx-ID: 1369   OA
Kolesnikov, Alexander, and Christoph Lampert. Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation. Vol. 9908, Springer, 2016, pp. 695–711, doi:10.1007/978-3-319-46493-0_42.
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[81]
2016 | Conference Paper | IST-REx-ID: 1707
Pielorz, Jasmin, and Christoph Lampert. Optimal Geospatial Allocation of Volunteers for Crisis Management. 7402041, IEEE, 2016, doi:10.1109/ICT-DM.2015.7402041.
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[80]
2016 | Conference Paper | IST-REx-ID: 1102   OA
Kolesnikov, Alexander, and Christoph Lampert. “Improving Weakly-Supervised Object Localization by Micro-Annotation.” Proceedings of the British Machine Vision Conference 2016, vol. 2016–September, BMVA Press, 2016, p. 92.1-92.12, doi:10.5244/C.30.92.
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[79]
2015 | Conference Paper | IST-REx-ID: 1857   OA
Pentina, Anastasia, et al. Curriculum Learning of Multiple Tasks. IEEE, 2015, pp. 5492–500, doi:10.1109/CVPR.2015.7299188.
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[78]
2015 | Conference Paper | IST-REx-ID: 1858   OA
Lampert, Christoph. Predicting the Future Behavior of a Time-Varying Probability Distribution. IEEE, 2015, pp. 942–50, doi:10.1109/CVPR.2015.7298696.
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[77]
2015 | Conference Paper | IST-REx-ID: 1860   OA
Royer, Amélie, and Christoph Lampert. Classifier Adaptation at Prediction Time. IEEE, 2015, pp. 1401–09, doi:10.1109/CVPR.2015.7298746.
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[76]
2015 | Conference Paper | IST-REx-ID: 1859   OA
Shah, Neel, et al. A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Training Structural SVMs with a Costly Max-Oracle. IEEE, 2015, pp. 2737–45, doi:10.1109/CVPR.2015.7298890.
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[75]
2015 | Conference Paper | IST-REx-ID: 1425   OA
Pentina, Anastasia, and Christoph Lampert. Lifelong Learning with Non-i.i.d. Tasks. Vol. 2015, Neural Information Processing Systems, 2015, pp. 1540–48.
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[74]
2014 | Conference Paper | IST-REx-ID: 2171   OA
Kolesnikov, Alexander, et al. “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), edited by David Fleet et al., vol. 8691, no. PART 3, Springer, 2014, pp. 550–65, doi:10.1007/978-3-319-10578-9_36.
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[73]
2014 | Conference Paper | IST-REx-ID: 2033   OA
Hernandez Lobato, Daniel, et al. “Mind the Nuisance: Gaussian Process Classification Using Privileged Noise.” Advances in Neural Information Processing Systems, vol. 1, no. January, Neural Information Processing Systems, 2014, pp. 837–45.
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[72]
2014 | Conference Paper | IST-REx-ID: 2172
Sydorov, Vladyslav, et al. “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, IEEE, 2014, pp. 1402–09, doi:10.1109/CVPR.2014.182.
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[71]
2014 | Conference Paper | IST-REx-ID: 2160   OA
Pentina, Anastasia, and Christoph Lampert. A PAC-Bayesian Bound for Lifelong Learning. Edited by Eric Xing and Tony Jebara, vol. 32, Omnipress, 2014, pp. 991–99.
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[70]
2014 | Conference Paper | IST-REx-ID: 2173   OA
Khamis, Sameh, and Christoph Lampert. “CoConut: Co-Classification with Output Space Regularization.” Proceedings of the British Machine Vision Conference 2014, BMVA Press, 2014.
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[69]
2014 | Book Chapter | IST-REx-ID: 1829
Muelling, Katharina, et al. “Movement Templates for Learning of Hitting and Batting.” Learning Motor Skills, edited by Jens Kober and Jan Peters, vol. 97, Springer, 2014, pp. 69–82, doi:10.1007/978-3-319-03194-1_3.
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[68]
2013 | Conference Paper | IST-REx-ID: 2948   OA
Tommasi, Tatiana, et al. Beyond Dataset Bias: Multi-Task Unaligned Shared Knowledge Transfer. Vol. 7724, Springer, 2013, pp. 1–15, doi:10.1007/978-3-642-37331-2_1.
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[67]
2013 | Encyclopedia Article | IST-REx-ID: 3321
Quadrianto, Novi, and Christoph Lampert. “Kernel Based Learning.” Encyclopedia of Systems Biology, edited by Werner Dubitzky et al., vol. 3, Springer, 2013, pp. 1069–1069, doi:10.1007/978-1-4419-9863-7_604.
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[66]
2013 | Conference Paper | IST-REx-ID: 2901   OA
Chen, Chao, et al. Computing the M Most Probable Modes of a Graphical Model. Vol. 31, JMLR, 2013, pp. 161–69.
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[65]
2013 | Conference Paper | IST-REx-ID: 2293   OA
Sharmanska, Viktoriia, et al. Learning to Rank Using Privileged Information. IEEE, 2013, pp. 825–32, doi:10.1109/ICCV.2013.107.
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[64]
2013 | Journal Article | IST-REx-ID: 2516
Lampert, Christoph, et al. “Attribute-Based Classification for Zero-Shot Learning of Object Categories.” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 3, IEEE, 2013, pp. 453–65, doi:10.1109/TPAMI.2013.140.
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[63]
2013 | Conference Paper | IST-REx-ID: 2294   OA
Kazmar, Tomas, et al. Drosophila Embryo Stage Annotation Using Label Propagation. IEEE, 2013, doi:10.1109/ICCV.2013.139.
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[62]
2012 | Conference Paper | IST-REx-ID: 3124
Korc, Filip, et al. Approximating Marginals Using Discrete Energy Minimization. ICML, 2012.
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[61]
2012 | Technical Report | IST-REx-ID: 5396   OA
Korc, Filip, et al. Approximating Marginals Using Discrete Energy Minimization. IST Austria, 2012, doi:10.15479/AT:IST-2012-0003.
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[60]
2012 | Conference Paper | IST-REx-ID: 3125
Sharmanska, Viktoriia, et al. Augmented Attribute Representations. Vol. 7576, no. PART 5, Springer, 2012, pp. 242–55, doi:10.1007/978-3-642-33715-4_18.
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[59]
2012 | Conference Paper | IST-REx-ID: 2825
Lampert, Christoph. Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction. Vol. 1, Neural Information Processing Systems, 2012, pp. 82–90.
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[58]
2012 | Conference Paper | IST-REx-ID: 3126
Müller, Andreas, et al. Information Theoretic Clustering Using Minimal Spanning Trees. Vol. 7476, Springer, 2012, pp. 205–15, doi:10.1007/978-3-642-32717-9_21.
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[57]
2012 | Journal Article | IST-REx-ID: 3164
Blaschko, Matthew, and Christoph Lampert. “Guest Editorial: Special Issue on Structured Prediction and Inference.” International Journal of Computer Vision, vol. 99, no. 3, Springer, 2012, pp. 257–58, doi:10.1007/s11263-012-0530-y.
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[56]
2012 | Conference Paper | IST-REx-ID: 2915
Kroemer, Oliver, et al. Multi-Modal Learning for Dynamic Tactile Sensing. Deutsches Zentrum für Luft und Raumfahrt, 2012.
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[55]
2012 | Conference Paper | IST-REx-ID: 3127   OA
Quadrianto, Novi, et al. “The Most Persistent Soft-Clique in a Set of Sampled Graphs.” Proceedings of the 29th International Conference on Machine Learning, Omnipress, 2012, pp. 211–18.
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[54]
2012 | Journal Article | IST-REx-ID: 3248   OA
Lampert, Christoph, and Jan Peters. “Real-Time Detection of Colored Objects in Multiple Camera Streams with off-the-Shelf Hardware Components.” Journal of Real-Time Image Processing, vol. 7, no. 1, Springer, 2012, pp. 31–41, doi:10.1007/s11554-010-0168-3.
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[53]
2011 | Conference Paper | IST-REx-ID: 3319
Quadrianto, Novi, and Christoph Lampert. Learning Multi-View Neighborhood Preserving Projections. Omnipress, 2011, pp. 425–32.
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[52]
2011 | Conference Paper | IST-REx-ID: 3163
Lampert, Christoph. Maximum Margin Multi-Label Structured Prediction. Neural Information Processing Systems, 2011.
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[51]
2011 | Conference Poster | IST-REx-ID: 3322
Lampert, Christoph. “Maximum Margin Multi Label Structured Prediction.” NIPS: Neural Information Processing Systems, Neural Information Processing Systems, 2011.
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[50]
2011 | Journal Article | IST-REx-ID: 3389
Blaschko, Matthew, et al. “Semi Supervised Kernel Canonical Correlation Analysis with Application to Human FMRI.” Pattern Recognition Letters, vol. 32, no. 11, Elsevier, 2011, pp. 1572–83, doi:10.1016/j.patrec.2011.02.011.
View | DOI
 
[49]
2011 | Technical Report | IST-REx-ID: 5386   OA
Chen, Chao, et al. Enforcing Topological Constraints in Random Field Image Segmentation. IST Austria, 2011, doi:10.15479/AT:IST-2011-0002.
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[48]
2011 | Conference Paper | IST-REx-ID: 3336
Chen, Chao, et al. “Enforcing Topological Constraints in Random Field Image Segmentation.” CVPR: Computer Vision and Pattern Recognition, IEEE, 2011, pp. 2089–96, doi:10.1109/CVPR.2011.5995503.
View | Files available | DOI
 
[47]
2011 | Journal Article | IST-REx-ID: 3320
Nowozin, Sebastian, and Christoph Lampert. “Structured Learning and Prediction in Computer Vision.” Foundations and Trends in Computer Graphics and Vision, vol. 6, no. 3–4, now, 2011, pp. 185–365, doi:10.1561/0600000033.
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[46]
2011 | Journal Article | IST-REx-ID: 3382
Kroemer, Oliver, et al. “Learning Dynamic Tactile Sensing with Robust Vision Based Training.” IEEE Transactions on Robotics, vol. 27, no. 3, IEEE, 2011, pp. 545–57, doi:10.1109/TRO.2011.2121130.
View | DOI
 
[45]
2011 | Conference Paper | IST-REx-ID: 3337
Wang, Zhikun, et al. Learning Anticipation Policies for Robot Table Tennis. IEEE, 2011, pp. 332–37, doi:10.1109/IROS.2011.6094892.
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[44]
2010 | Journal Article | IST-REx-ID: 3686
Nowozin, Sebastian, and Christoph Lampert. “Global Interactions in Random Field Models: A Potential Function Ensuring Connectedness.” SIAM Journal on Imaging Sciences, vol. 3, no. 4 (Special Section on Optimization in Imaging Sciences), Society for Industrial and Applied Mathematics , 2010, pp. 1048–74, doi:10.1137/090752614.
View | DOI
 
[43]
2010 | Conference Paper | IST-REx-ID: 3713
Lampert, Christoph. An Efficient Divide-and-Conquer Cascade for Nonlinear Object Detection. IEEE, 2010, pp. 1022–29, doi:10.1109/CVPR.2010.5540107.
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[42]
2010 | Conference Paper | IST-REx-ID: 3794
Lampert, Christoph, and Oliver Krömer. Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer Learning. Vol. 6312, Springer, 2010, pp. 566–79, doi:10.1007/978-3-642-15552-9_41.
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[41]
2010 | Conference Paper | IST-REx-ID: 3682
Tang, Kevin, et al. Optimizing One-Shot Recognition with Micro-Set Learning. IEEE, 2010, pp. 3027–34, doi:10.1109/CVPR.2010.5540053.
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[40]
2010 | Conference Paper | IST-REx-ID: 3702
Kober, Jens, et al. Movement Templates for Learning of Hitting and Batting. IEEE, 2010, pp. 853–58, doi:10.1109/ROBOT.2010.5509672.
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[39]
2010 | Conference Paper | IST-REx-ID: 3676
Wanke, Jörn, et al. Topic Models for Semantic Video Compression. ACM, 2010, pp. 275–84, doi:10.1145/1743384.1743433.
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[38]
2010 | Journal Article | IST-REx-ID: 3697
Tuytelaars, Tinne, et al. “Unsupervised Object Discovery: A Comparison.” International Journal of Computer Vision, vol. 88, no. 2, Springer, 2010, pp. 284–302, doi:10.1007/s11263-009-0271-8.
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[37]
2010 | Conference Paper | IST-REx-ID: 3793
Nowozin, Sebastian, et al. On Parameter Learning in CRF-Based Approaches to Object Class Image Segmentation. Vol. 6316, Springer, 2010, pp. 98–111, doi:10.1007/978-3-642-15567-3_8.
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[36]
2009 | Conference Poster | IST-REx-ID: 3699
Blaschko, Matthew, et al. “Semi-Supervised Analysis of Human FMRI Data.” BBCI: Berlin Brain-Computer Interface Workshop - Advances in Neurotechnology, Berlin Institute of Technology, 2009.
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[35]
2009 | Book | IST-REx-ID: 3707
Lampert, Christoph. Kernel Methods in Computer Vision. Vol. 4, now, 2009, pp. 193–285, doi:10.1561/0600000027.
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[34]
2009 | Conference Paper | IST-REx-ID: 3690
Dhillon, Paramveer, et al. Combining Appearance and Motion for Human Action Classification in Videos. no. 174, IEEE, 2009, pp. 22–29, doi:10.1109/CVPRW.2009.5204237.
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[33]
2009 | Conference Paper | IST-REx-ID: 3703
Blaschko, Matthew, and Christoph Lampert. Object Localization with Global and Local Context Kernels. BMVA Press, 2009, pp. 1–11, doi:10.5244/C.23.63.
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[32]
2009 | Conference Paper | IST-REx-ID: 3708
Nowozin, Sebastian, and Christoph Lampert. Global Connectivity Potentials for Random Field Models. IEEE, 2009, pp. 818–25, doi:10.1109/CVPR.2009.5206567.
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[31]
2009 | Journal Article | IST-REx-ID: 3710
Lampert, Christoph, et al. “Efficient Subwindow Search: A Branch and Bound Framework for Object Localization.” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 12, IEEE, 2009, pp. 2129–42, doi:10.1109/TPAMI.2009.144.
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[30]
2009 | Conference Paper | IST-REx-ID: 3715
Lampert, Christoph, and Jan Peters. Active Structured Learning for High-Speed Object Detection. Vol. 5748, Springer, 2009, pp. 221–31, doi:10.1007/978-3-642-03798-6_23.
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[29]
2009 | Journal Article | IST-REx-ID: 3696
Lampert, Christoph, and Matthew Blaschko. “Structured Prediction by Joint Kernel Support Estimation.” Machine Learning, vol. 77, no. 2–3, Springer, 2009, pp. 249–69, doi:10.1007/s10994-009-5111-0.
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[28]
2009 | Conference Paper | IST-REx-ID: 3704
Lampert, Christoph, et al. Learning to Detect Unseen Object Classes by Between-Class Attribute Transfer. IEEE, 2009, pp. 951–58, doi:10.1109/CVPR.2009.5206594.
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[27]
2009 | Conference Paper | IST-REx-ID: 3709
Lampert, Christoph. Detecting Objects in Large Image Collections and Videos by Efficient Subimage Retrieval. IEEE, 2009, pp. 987–94, doi:10.1109/ICCV.2009.5459359.
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[26]
2009 | Conference Paper | IST-REx-ID: 3711
Dhillon, Paramveer, et al. Combining Appearance and Motion for Human Action Classification in Videos. IEEE, 2009, pp. 22–29, doi:10.1109/CVPRW.2009.5204237.
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[25]
2009 | Conference Poster | IST-REx-ID: 3717
Lampert, Christoph, and Jan Peters. “A High-Speed Object Tracker from off-the-Shelf Components.” ICCV: International Conference on Computer Vision, IEEE, 2009.
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[24]
2008 | Conference Paper | IST-REx-ID: 3698
Blaschko, Matthew, et al. Semi-Supervised Laplacian Regularization of Kernel Canonical Correlation Analysis. Vol. 5211, no. Part 1, Springer, 2008, pp. 133–45, doi:10.1007/978-3-540-87479-9_27.
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[23]
2008 | Conference Paper | IST-REx-ID: 3706
Lampert, Christoph, and Matthew Blaschko. Joint Kernel Support Estimation for Structured Prediction. Curran Associates, Inc., 2008, pp. 1–4.
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[22]
2008 | Conference Paper | IST-REx-ID: 3694
Goldstein, Markus, et al. Bayes Optimal DDoS Mitigation by Adaptive History-Based IP Filtering. IEEE, 2008, pp. 174–79, doi:10.1109/ICN.2008.64.
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[21]
2008 | Conference Paper | IST-REx-ID: 3714
Lampert, Christoph, et al. Beyond Sliding Windows: Object Localization by Efficient Subwindow Search. IEEE, 2008, pp. 1–8, doi:10.1109/CVPR.2008.4587586.
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[20]
2008 | Conference Paper | IST-REx-ID: 3716
Lampert, Christoph, and Matthew Blaschko. A Multiple Kernel Learning Approach to Joint Multi-Class Object Detection. Vol. 5096, Springer, 2008, pp. 31–40, doi:10.1007/978-3-540-69321-5_4.
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[19]
2008 | Conference Paper | IST-REx-ID: 3700
Lampert, Christoph. Partitioning of Image Datasets Using Discriminative Context Information. IEEE, 2008, pp. 1–8, doi:10.1109/CVPR.2008.4587448.
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[18]
2008 | Conference Paper | IST-REx-ID: 3705
Blaschko, Matthew, and Christoph Lampert. Learning to Localize Objects with Structured Output Regression. Vol. 5302, Springer, 2008, pp. 2–15, doi:10.1007/978-3-540-88682-2_2.
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[17]
2008 | Conference Paper | IST-REx-ID: 3712
Blaschko, Matthew, and Christoph Lampert. Correlational Spectral Clustering. IEEE, 2008, pp. 1–8, doi:10.1109/CVPR.2008.4587353.
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[16]
2007 | Conference Paper | IST-REx-ID: 3681
Ulges, Adrian, et al. Optimal Dominant Motion Estimation Using Adaptive Search of Transformation Space. Vol. 4713, Springer, 2007, pp. 204–13, doi:10.1007/978-3-540-74936-3_21.
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[15]
2007 | Conference Paper | IST-REx-ID: 3701
Ulges, Adrian, et al. Optimal Dominant Motion Estimation Using Adaptive Search of Transformation Space. Vol. 4713, Springer, 2007, pp. 204–13, doi:10.1007/978-3-540-74936-3_21.
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[14]
2007 | Report | IST-REx-ID: 3687
Blaschko, Matthew, et al. “Efficient Subwindow Search for Object Localization.” Unknown, no. 164, Max-Planck-Institute for Biological Cybernetics, 2007.
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[13]
2006 | Conference Paper | IST-REx-ID: 3679
Ali, Haider, et al. Satellite Tracks Removal in Astronomical Images. Vol. 4225, Springer, 2006, pp. 892–901, doi:10.1007/11892755_92.
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[12]
2006 | Conference Paper | IST-REx-ID: 3693
Lampert, Christoph, and Oliver Wirjadi. Anisotropic Gaussian Filtering Using Fixed Point Arithmetic. IEEE, 2006, pp. 1565–68, doi:10.1109/ICIP.2006.312606.
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[11]
2006 | Conference Paper | IST-REx-ID: 3683
Lampert, Christoph, and Thomas Breuel. Objective Quality Measurement for Geometric Document Image Restoration. Springer, 2006.
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[10]
2006 | Journal Article | IST-REx-ID: 3695   OA
Lampert, Christoph, and Oliver Wirjadi. “An Optimal Non-Orthogonal Separation of the Anisotropic Gaussian Convolution Filter.” IEEE Transactions on Image Processing (TIP), vol. 15, no. 11, IEEE, 2006, pp. 3501–13, doi: 10.1109/TIP.2006.877501 .
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[9]
2006 | Conference Paper | IST-REx-ID: 3677
Ulges, Adrian, et al. Spatiogram-Based Shot Distances for Video Retrieval. NIST (National Institute of Standards and Technology, US Department of Commerce), 2006, pp. 1–10.
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[8]
2006 | Conference Paper | IST-REx-ID: 3680
Lampert, Christoph, et al. Printing Technique Classification for Document Counterfeit Detection. Vol. 1, IEEE, 2006, pp. 639–634, doi:10.1109/ICCIAS.2006.294214.
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[7]
2006 | Conference Paper | IST-REx-ID: 3685
Lampert, Christoph. Machine Learning for Video Compression: Macroblock Mode Decision. IEEE, 2006, pp. 936–40, doi:10.1109/ICPR.2006.778.
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[6]
2006 | Conference Paper | IST-REx-ID: 3692
Keysers, Daniel, et al. Color Image Dequantization by Constrained Diffusion. Vol. 6058, SPIE, 2006, doi:10.1117/12.648713.
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[5]
2005 | Conference Paper | IST-REx-ID: 3684
Lampert, Christoph, et al. Oblivious Document Capture and Real-Time Retrieval. CBDAR, 2005, pp. 79–86.
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[4]
2005 | Conference Paper | IST-REx-ID: 3689
Ulges, Adrian, et al. Document Image Dewarping Using Robust Estimation of Curled Text Lines. Vol. 2, IEEE, 2005, pp. 1001–05, doi: 10.1109/ICDAR.2005.90.
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[3]
2005 | Journal Article | IST-REx-ID: 3691
Lampert, Christoph. “Boundary Regularity of Admissible Operators.” Publicacions Matemàtiques, vol. 49, no. 1, Universitat Autònoma de Barcelona, Departament de Matemàtique, 2005, pp. 179–95, doi:10.5565/PUBLMAT_49105_08.
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[2]
2004 | Conference Paper | IST-REx-ID: 3688
Ulges, Adrian, et al. Document Capture Using Stereo Vision. ACM, 2004, pp. 198–200, doi:10.1145/1030397.1030434.
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[1]
2003 | Thesis | IST-REx-ID: 3678
Lampert, Christoph. “The Neumann Operator in Strictly Pseudoconvex Domains with Weighted Bergman Metric .” Bonner Mathematische Schriften, vol. 356, Universität Bonn, Fachbibliothek Mathematik, 2003, pp. 1–165.
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[99]
2019 | Book (Editor) | IST-REx-ID: 7171
Kersting, Kristian, et al., editors. Wie Maschinen Lernen. Springer Nature, 2019, doi:10.1007/978-3-658-26763-6.
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[98]
2019 | Journal Article | IST-REx-ID: 6554   OA
Xian, Yongqin, et al. “Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly.” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, no. 9, Institute of Electrical and Electronics Engineers (IEEE), 2019, pp. 2251–65, doi:10.1109/tpami.2018.2857768.
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[97]
2019 | Conference Paper | IST-REx-ID: 6942   OA
Ashok, Pranav, et al. “Strategy Representation by Decision Trees with Linear Classifiers.” 16th International Conference on Quantitative Evaluation of Systems, vol. 11785, Springer Nature, 2019, pp. 109–28, doi:10.1007/978-3-030-30281-8_7.
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[96]
2019 | Conference Paper | IST-REx-ID: 6569   OA
Bui Thi Mai, Phuong, and Christoph Lampert. “Towards Understanding Knowledge Distillation.” Proceedings of the 36th International Conference on Machine Learning, vol. 97, PMLR, 2019, pp. 5142–51.
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[95]
2019 | Conference Paper | IST-REx-ID: 6590   OA
Konstantinov, Nikola H., and Christoph Lampert. “Robust Learning from Untrusted Sources.” Proceedings of the 36th International Conference on Machine Learning.
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[94]
2019 | Conference Paper | IST-REx-ID: 6482
Sun, Rémy, and Christoph Lampert. KS(Conf): A Light-Weight Test If a ConvNet Operates Outside of Its Specifications. Vol. 11269, Springer Nature, 2019, pp. 244–59, doi:10.1007/978-3-030-12939-2_18.
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[93]
2019 | Journal Article | IST-REx-ID: 6944   OA
Sun, Rémy, and Christoph Lampert. “KS(Conf): A Light-Weight Test If a Multiclass Classifier Operates Outside of Its Specifications.” International Journal of Computer Vision, Springer Nature, 2019, doi:10.1007/s11263-019-01232-x.
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[92]
2018 | Journal Article | IST-REx-ID: 321
Darrell, Trevor, et al. “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, vol. 40, no. 5, IEEE, 2018, pp. 1029–31, doi:10.1109/TPAMI.2018.2804998.
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[91]
2018 | Conference Paper | IST-REx-ID: 6011   OA
Kuzborskij, Ilja, and Christoph Lampert. “Data-Dependent Stability of Stochastic Gradient Descent.” Proceedings of the 35 Th International Conference on Machine Learning, vol. 80, International Machine Learning Society, 2018, pp. 2815–24.
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[90]
2018 | Conference Paper | IST-REx-ID: 6012   OA
Sahoo, Subham, et al. “Learning Equations for Extrapolation and Control.” Proceedings of the 35th International Conference on Machine Learning, vol. 80, International Machine Learning Society, 2018, pp. 4442–50.
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[89]
2017 | Conference Paper | IST-REx-ID: 911   OA
Royer, Amélie, et al. Probabilistic Image Colorization. BMVA Press.
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[88]
2017 | Conference Paper | IST-REx-ID: 1000   OA
Kolesnikov, Alexander, and Christoph Lampert. PixelCNN Models with Auxiliary Variables for Natural Image Modeling. Vol. 70, Omnipress, 2017, pp. 1905–14.
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[87]
2017 | Conference Paper | IST-REx-ID: 6841   OA
Martius, Georg S., and Christoph Lampert. “Extrapolation and Learning Equations.” 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings, International Conference on Learning Representations, 2017.
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[86]
2017 | Conference Paper | IST-REx-ID: 998   OA
Rebuffi, Sylvestre Alvise, et al. ICaRL: Incremental Classifier and Representation Learning. Vol. 2017, IEEE, 2017, pp. 5533–42, doi:10.1109/CVPR.2017.587.
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[85]
2017 | Conference Paper | IST-REx-ID: 999   OA
Pentina, Anastasia, and Christoph Lampert. Multi-Task Learning with Labeled and Unlabeled Tasks. Vol. 70, Omnipress, 2017, pp. 2807–16.
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[84]
2017 | Conference Paper | IST-REx-ID: 1108   OA
Zimin, Alexander, and Christoph Lampert. Learning Theory for Conditional Risk Minimization. Vol. 54, JMLR, Inc. and Microtome Publishing, 2017, pp. 213–22.
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[83]
2017 | Conference Paper | IST-REx-ID: 750
Pielorz, Jasmin, et al. “Optimal Geospatial Volunteer Allocation Needs Realistic Distances.” 2017 IEEE International Conference on Big Data, IEEE, 2017, pp. 3760–63, doi:10.1109/BigData.2017.8258375.
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[82]
2016 | Conference Paper | IST-REx-ID: 1369   OA
Kolesnikov, Alexander, and Christoph Lampert. Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation. Vol. 9908, Springer, 2016, pp. 695–711, doi:10.1007/978-3-319-46493-0_42.
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[81]
2016 | Conference Paper | IST-REx-ID: 1707
Pielorz, Jasmin, and Christoph Lampert. Optimal Geospatial Allocation of Volunteers for Crisis Management. 7402041, IEEE, 2016, doi:10.1109/ICT-DM.2015.7402041.
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[80]
2016 | Conference Paper | IST-REx-ID: 1102   OA
Kolesnikov, Alexander, and Christoph Lampert. “Improving Weakly-Supervised Object Localization by Micro-Annotation.” Proceedings of the British Machine Vision Conference 2016, vol. 2016–September, BMVA Press, 2016, p. 92.1-92.12, doi:10.5244/C.30.92.
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[79]
2015 | Conference Paper | IST-REx-ID: 1857   OA
Pentina, Anastasia, et al. Curriculum Learning of Multiple Tasks. IEEE, 2015, pp. 5492–500, doi:10.1109/CVPR.2015.7299188.
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[78]
2015 | Conference Paper | IST-REx-ID: 1858   OA
Lampert, Christoph. Predicting the Future Behavior of a Time-Varying Probability Distribution. IEEE, 2015, pp. 942–50, doi:10.1109/CVPR.2015.7298696.
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[77]
2015 | Conference Paper | IST-REx-ID: 1860   OA
Royer, Amélie, and Christoph Lampert. Classifier Adaptation at Prediction Time. IEEE, 2015, pp. 1401–09, doi:10.1109/CVPR.2015.7298746.
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[76]
2015 | Conference Paper | IST-REx-ID: 1859   OA
Shah, Neel, et al. A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Training Structural SVMs with a Costly Max-Oracle. IEEE, 2015, pp. 2737–45, doi:10.1109/CVPR.2015.7298890.
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[75]
2015 | Conference Paper | IST-REx-ID: 1425   OA
Pentina, Anastasia, and Christoph Lampert. Lifelong Learning with Non-i.i.d. Tasks. Vol. 2015, Neural Information Processing Systems, 2015, pp. 1540–48.
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[74]
2014 | Conference Paper | IST-REx-ID: 2171   OA
Kolesnikov, Alexander, et al. “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), edited by David Fleet et al., vol. 8691, no. PART 3, Springer, 2014, pp. 550–65, doi:10.1007/978-3-319-10578-9_36.
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[73]
2014 | Conference Paper | IST-REx-ID: 2033   OA
Hernandez Lobato, Daniel, et al. “Mind the Nuisance: Gaussian Process Classification Using Privileged Noise.” Advances in Neural Information Processing Systems, vol. 1, no. January, Neural Information Processing Systems, 2014, pp. 837–45.
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[72]
2014 | Conference Paper | IST-REx-ID: 2172
Sydorov, Vladyslav, et al. “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, IEEE, 2014, pp. 1402–09, doi:10.1109/CVPR.2014.182.
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[71]
2014 | Conference Paper | IST-REx-ID: 2160   OA
Pentina, Anastasia, and Christoph Lampert. A PAC-Bayesian Bound for Lifelong Learning. Edited by Eric Xing and Tony Jebara, vol. 32, Omnipress, 2014, pp. 991–99.
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[70]
2014 | Conference Paper | IST-REx-ID: 2173   OA
Khamis, Sameh, and Christoph Lampert. “CoConut: Co-Classification with Output Space Regularization.” Proceedings of the British Machine Vision Conference 2014, BMVA Press, 2014.
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[69]
2014 | Book Chapter | IST-REx-ID: 1829
Muelling, Katharina, et al. “Movement Templates for Learning of Hitting and Batting.” Learning Motor Skills, edited by Jens Kober and Jan Peters, vol. 97, Springer, 2014, pp. 69–82, doi:10.1007/978-3-319-03194-1_3.
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[68]
2013 | Conference Paper | IST-REx-ID: 2948   OA
Tommasi, Tatiana, et al. Beyond Dataset Bias: Multi-Task Unaligned Shared Knowledge Transfer. Vol. 7724, Springer, 2013, pp. 1–15, doi:10.1007/978-3-642-37331-2_1.
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[67]
2013 | Encyclopedia Article | IST-REx-ID: 3321
Quadrianto, Novi, and Christoph Lampert. “Kernel Based Learning.” Encyclopedia of Systems Biology, edited by Werner Dubitzky et al., vol. 3, Springer, 2013, pp. 1069–1069, doi:10.1007/978-1-4419-9863-7_604.
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[66]
2013 | Conference Paper | IST-REx-ID: 2901   OA
Chen, Chao, et al. Computing the M Most Probable Modes of a Graphical Model. Vol. 31, JMLR, 2013, pp. 161–69.
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[65]
2013 | Conference Paper | IST-REx-ID: 2293   OA
Sharmanska, Viktoriia, et al. Learning to Rank Using Privileged Information. IEEE, 2013, pp. 825–32, doi:10.1109/ICCV.2013.107.
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[64]
2013 | Journal Article | IST-REx-ID: 2516
Lampert, Christoph, et al. “Attribute-Based Classification for Zero-Shot Learning of Object Categories.” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 3, IEEE, 2013, pp. 453–65, doi:10.1109/TPAMI.2013.140.
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[63]
2013 | Conference Paper | IST-REx-ID: 2294   OA
Kazmar, Tomas, et al. Drosophila Embryo Stage Annotation Using Label Propagation. IEEE, 2013, doi:10.1109/ICCV.2013.139.
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[62]
2012 | Conference Paper | IST-REx-ID: 3124
Korc, Filip, et al. Approximating Marginals Using Discrete Energy Minimization. ICML, 2012.
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[61]
2012 | Technical Report | IST-REx-ID: 5396   OA
Korc, Filip, et al. Approximating Marginals Using Discrete Energy Minimization. IST Austria, 2012, doi:10.15479/AT:IST-2012-0003.
View | Files available | DOI
 
[60]
2012 | Conference Paper | IST-REx-ID: 3125
Sharmanska, Viktoriia, et al. Augmented Attribute Representations. Vol. 7576, no. PART 5, Springer, 2012, pp. 242–55, doi:10.1007/978-3-642-33715-4_18.
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[59]
2012 | Conference Paper | IST-REx-ID: 2825
Lampert, Christoph. Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction. Vol. 1, Neural Information Processing Systems, 2012, pp. 82–90.
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[58]
2012 | Conference Paper | IST-REx-ID: 3126
Müller, Andreas, et al. Information Theoretic Clustering Using Minimal Spanning Trees. Vol. 7476, Springer, 2012, pp. 205–15, doi:10.1007/978-3-642-32717-9_21.
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[57]
2012 | Journal Article | IST-REx-ID: 3164
Blaschko, Matthew, and Christoph Lampert. “Guest Editorial: Special Issue on Structured Prediction and Inference.” International Journal of Computer Vision, vol. 99, no. 3, Springer, 2012, pp. 257–58, doi:10.1007/s11263-012-0530-y.
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[56]
2012 | Conference Paper | IST-REx-ID: 2915
Kroemer, Oliver, et al. Multi-Modal Learning for Dynamic Tactile Sensing. Deutsches Zentrum für Luft und Raumfahrt, 2012.
View
 
[55]
2012 | Conference Paper | IST-REx-ID: 3127   OA
Quadrianto, Novi, et al. “The Most Persistent Soft-Clique in a Set of Sampled Graphs.” Proceedings of the 29th International Conference on Machine Learning, Omnipress, 2012, pp. 211–18.
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[54]
2012 | Journal Article | IST-REx-ID: 3248   OA
Lampert, Christoph, and Jan Peters. “Real-Time Detection of Colored Objects in Multiple Camera Streams with off-the-Shelf Hardware Components.” Journal of Real-Time Image Processing, vol. 7, no. 1, Springer, 2012, pp. 31–41, doi:10.1007/s11554-010-0168-3.
View | Files available | DOI
 
[53]
2011 | Conference Paper | IST-REx-ID: 3319
Quadrianto, Novi, and Christoph Lampert. Learning Multi-View Neighborhood Preserving Projections. Omnipress, 2011, pp. 425–32.
View
 
[52]
2011 | Conference Paper | IST-REx-ID: 3163
Lampert, Christoph. Maximum Margin Multi-Label Structured Prediction. Neural Information Processing Systems, 2011.
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[51]
2011 | Conference Poster | IST-REx-ID: 3322
Lampert, Christoph. “Maximum Margin Multi Label Structured Prediction.” NIPS: Neural Information Processing Systems, Neural Information Processing Systems, 2011.
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[50]
2011 | Journal Article | IST-REx-ID: 3389
Blaschko, Matthew, et al. “Semi Supervised Kernel Canonical Correlation Analysis with Application to Human FMRI.” Pattern Recognition Letters, vol. 32, no. 11, Elsevier, 2011, pp. 1572–83, doi:10.1016/j.patrec.2011.02.011.
View | DOI
 
[49]
2011 | Technical Report | IST-REx-ID: 5386   OA
Chen, Chao, et al. Enforcing Topological Constraints in Random Field Image Segmentation. IST Austria, 2011, doi:10.15479/AT:IST-2011-0002.
View | Files available | DOI
 
[48]
2011 | Conference Paper | IST-REx-ID: 3336
Chen, Chao, et al. “Enforcing Topological Constraints in Random Field Image Segmentation.” CVPR: Computer Vision and Pattern Recognition, IEEE, 2011, pp. 2089–96, doi:10.1109/CVPR.2011.5995503.
View | Files available | DOI
 
[47]
2011 | Journal Article | IST-REx-ID: 3320
Nowozin, Sebastian, and Christoph Lampert. “Structured Learning and Prediction in Computer Vision.” Foundations and Trends in Computer Graphics and Vision, vol. 6, no. 3–4, now, 2011, pp. 185–365, doi:10.1561/0600000033.
View | DOI
 
[46]
2011 | Journal Article | IST-REx-ID: 3382
Kroemer, Oliver, et al. “Learning Dynamic Tactile Sensing with Robust Vision Based Training.” IEEE Transactions on Robotics, vol. 27, no. 3, IEEE, 2011, pp. 545–57, doi:10.1109/TRO.2011.2121130.
View | DOI
 
[45]
2011 | Conference Paper | IST-REx-ID: 3337
Wang, Zhikun, et al. Learning Anticipation Policies for Robot Table Tennis. IEEE, 2011, pp. 332–37, doi:10.1109/IROS.2011.6094892.
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[44]
2010 | Journal Article | IST-REx-ID: 3686
Nowozin, Sebastian, and Christoph Lampert. “Global Interactions in Random Field Models: A Potential Function Ensuring Connectedness.” SIAM Journal on Imaging Sciences, vol. 3, no. 4 (Special Section on Optimization in Imaging Sciences), Society for Industrial and Applied Mathematics , 2010, pp. 1048–74, doi:10.1137/090752614.
View | DOI
 
[43]
2010 | Conference Paper | IST-REx-ID: 3713
Lampert, Christoph. An Efficient Divide-and-Conquer Cascade for Nonlinear Object Detection. IEEE, 2010, pp. 1022–29, doi:10.1109/CVPR.2010.5540107.
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[42]
2010 | Conference Paper | IST-REx-ID: 3794
Lampert, Christoph, and Oliver Krömer. Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer Learning. Vol. 6312, Springer, 2010, pp. 566–79, doi:10.1007/978-3-642-15552-9_41.
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[41]
2010 | Conference Paper | IST-REx-ID: 3682
Tang, Kevin, et al. Optimizing One-Shot Recognition with Micro-Set Learning. IEEE, 2010, pp. 3027–34, doi:10.1109/CVPR.2010.5540053.
View | DOI
 
[40]
2010 | Conference Paper | IST-REx-ID: 3702
Kober, Jens, et al. Movement Templates for Learning of Hitting and Batting. IEEE, 2010, pp. 853–58, doi:10.1109/ROBOT.2010.5509672.
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[39]
2010 | Conference Paper | IST-REx-ID: 3676
Wanke, Jörn, et al. Topic Models for Semantic Video Compression. ACM, 2010, pp. 275–84, doi:10.1145/1743384.1743433.
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[38]
2010 | Journal Article | IST-REx-ID: 3697
Tuytelaars, Tinne, et al. “Unsupervised Object Discovery: A Comparison.” International Journal of Computer Vision, vol. 88, no. 2, Springer, 2010, pp. 284–302, doi:10.1007/s11263-009-0271-8.
View | DOI
 
[37]
2010 | Conference Paper | IST-REx-ID: 3793
Nowozin, Sebastian, et al. On Parameter Learning in CRF-Based Approaches to Object Class Image Segmentation. Vol. 6316, Springer, 2010, pp. 98–111, doi:10.1007/978-3-642-15567-3_8.
View | DOI
 
[36]
2009 | Conference Poster | IST-REx-ID: 3699
Blaschko, Matthew, et al. “Semi-Supervised Analysis of Human FMRI Data.” BBCI: Berlin Brain-Computer Interface Workshop - Advances in Neurotechnology, Berlin Institute of Technology, 2009.
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[35]
2009 | Book | IST-REx-ID: 3707
Lampert, Christoph. Kernel Methods in Computer Vision. Vol. 4, now, 2009, pp. 193–285, doi:10.1561/0600000027.
View | DOI
 
[34]
2009 | Conference Paper | IST-REx-ID: 3690
Dhillon, Paramveer, et al. Combining Appearance and Motion for Human Action Classification in Videos. no. 174, IEEE, 2009, pp. 22–29, doi:10.1109/CVPRW.2009.5204237.
View | DOI
 
[33]
2009 | Conference Paper | IST-REx-ID: 3703
Blaschko, Matthew, and Christoph Lampert. Object Localization with Global and Local Context Kernels. BMVA Press, 2009, pp. 1–11, doi:10.5244/C.23.63.
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[32]
2009 | Conference Paper | IST-REx-ID: 3708
Nowozin, Sebastian, and Christoph Lampert. Global Connectivity Potentials for Random Field Models. IEEE, 2009, pp. 818–25, doi:10.1109/CVPR.2009.5206567.
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[31]
2009 | Journal Article | IST-REx-ID: 3710
Lampert, Christoph, et al. “Efficient Subwindow Search: A Branch and Bound Framework for Object Localization.” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 12, IEEE, 2009, pp. 2129–42, doi:10.1109/TPAMI.2009.144.
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[30]
2009 | Conference Paper | IST-REx-ID: 3715
Lampert, Christoph, and Jan Peters. Active Structured Learning for High-Speed Object Detection. Vol. 5748, Springer, 2009, pp. 221–31, doi:10.1007/978-3-642-03798-6_23.
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[29]
2009 | Journal Article | IST-REx-ID: 3696
Lampert, Christoph, and Matthew Blaschko. “Structured Prediction by Joint Kernel Support Estimation.” Machine Learning, vol. 77, no. 2–3, Springer, 2009, pp. 249–69, doi:10.1007/s10994-009-5111-0.
View | DOI
 
[28]
2009 | Conference Paper | IST-REx-ID: 3704
Lampert, Christoph, et al. Learning to Detect Unseen Object Classes by Between-Class Attribute Transfer. IEEE, 2009, pp. 951–58, doi:10.1109/CVPR.2009.5206594.
View | DOI
 
[27]
2009 | Conference Paper | IST-REx-ID: 3709
Lampert, Christoph. Detecting Objects in Large Image Collections and Videos by Efficient Subimage Retrieval. IEEE, 2009, pp. 987–94, doi:10.1109/ICCV.2009.5459359.
View | DOI
 
[26]
2009 | Conference Paper | IST-REx-ID: 3711
Dhillon, Paramveer, et al. Combining Appearance and Motion for Human Action Classification in Videos. IEEE, 2009, pp. 22–29, doi:10.1109/CVPRW.2009.5204237.
View | DOI | Download (ext.)
 
[25]
2009 | Conference Poster | IST-REx-ID: 3717
Lampert, Christoph, and Jan Peters. “A High-Speed Object Tracker from off-the-Shelf Components.” ICCV: International Conference on Computer Vision, IEEE, 2009.
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[24]
2008 | Conference Paper | IST-REx-ID: 3698
Blaschko, Matthew, et al. Semi-Supervised Laplacian Regularization of Kernel Canonical Correlation Analysis. Vol. 5211, no. Part 1, Springer, 2008, pp. 133–45, doi:10.1007/978-3-540-87479-9_27.
View | DOI
 
[23]
2008 | Conference Paper | IST-REx-ID: 3706
Lampert, Christoph, and Matthew Blaschko. Joint Kernel Support Estimation for Structured Prediction. Curran Associates, Inc., 2008, pp. 1–4.
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[22]
2008 | Conference Paper | IST-REx-ID: 3694
Goldstein, Markus, et al. Bayes Optimal DDoS Mitigation by Adaptive History-Based IP Filtering. IEEE, 2008, pp. 174–79, doi:10.1109/ICN.2008.64.
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[21]
2008 | Conference Paper | IST-REx-ID: 3714
Lampert, Christoph, et al. Beyond Sliding Windows: Object Localization by Efficient Subwindow Search. IEEE, 2008, pp. 1–8, doi:10.1109/CVPR.2008.4587586.
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[20]
2008 | Conference Paper | IST-REx-ID: 3716
Lampert, Christoph, and Matthew Blaschko. A Multiple Kernel Learning Approach to Joint Multi-Class Object Detection. Vol. 5096, Springer, 2008, pp. 31–40, doi:10.1007/978-3-540-69321-5_4.
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[19]
2008 | Conference Paper | IST-REx-ID: 3700
Lampert, Christoph. Partitioning of Image Datasets Using Discriminative Context Information. IEEE, 2008, pp. 1–8, doi:10.1109/CVPR.2008.4587448.
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[18]
2008 | Conference Paper | IST-REx-ID: 3705
Blaschko, Matthew, and Christoph Lampert. Learning to Localize Objects with Structured Output Regression. Vol. 5302, Springer, 2008, pp. 2–15, doi:10.1007/978-3-540-88682-2_2.
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[17]
2008 | Conference Paper | IST-REx-ID: 3712
Blaschko, Matthew, and Christoph Lampert. Correlational Spectral Clustering. IEEE, 2008, pp. 1–8, doi:10.1109/CVPR.2008.4587353.
View | DOI
 
[16]
2007 | Conference Paper | IST-REx-ID: 3681
Ulges, Adrian, et al. Optimal Dominant Motion Estimation Using Adaptive Search of Transformation Space. Vol. 4713, Springer, 2007, pp. 204–13, doi:10.1007/978-3-540-74936-3_21.
View | DOI
 
[15]
2007 | Conference Paper | IST-REx-ID: 3701
Ulges, Adrian, et al. Optimal Dominant Motion Estimation Using Adaptive Search of Transformation Space. Vol. 4713, Springer, 2007, pp. 204–13, doi:10.1007/978-3-540-74936-3_21.
View | DOI
 
[14]
2007 | Report | IST-REx-ID: 3687
Blaschko, Matthew, et al. “Efficient Subwindow Search for Object Localization.” Unknown, no. 164, Max-Planck-Institute for Biological Cybernetics, 2007.
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[13]
2006 | Conference Paper | IST-REx-ID: 3679
Ali, Haider, et al. Satellite Tracks Removal in Astronomical Images. Vol. 4225, Springer, 2006, pp. 892–901, doi:10.1007/11892755_92.
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[12]
2006 | Conference Paper | IST-REx-ID: 3693
Lampert, Christoph, and Oliver Wirjadi. Anisotropic Gaussian Filtering Using Fixed Point Arithmetic. IEEE, 2006, pp. 1565–68, doi:10.1109/ICIP.2006.312606.
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[11]
2006 | Conference Paper | IST-REx-ID: 3683
Lampert, Christoph, and Thomas Breuel. Objective Quality Measurement for Geometric Document Image Restoration. Springer, 2006.
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[10]
2006 | Journal Article | IST-REx-ID: 3695   OA
Lampert, Christoph, and Oliver Wirjadi. “An Optimal Non-Orthogonal Separation of the Anisotropic Gaussian Convolution Filter.” IEEE Transactions on Image Processing (TIP), vol. 15, no. 11, IEEE, 2006, pp. 3501–13, doi: 10.1109/TIP.2006.877501 .
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[9]
2006 | Conference Paper | IST-REx-ID: 3677
Ulges, Adrian, et al. Spatiogram-Based Shot Distances for Video Retrieval. NIST (National Institute of Standards and Technology, US Department of Commerce), 2006, pp. 1–10.
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[8]
2006 | Conference Paper | IST-REx-ID: 3680
Lampert, Christoph, et al. Printing Technique Classification for Document Counterfeit Detection. Vol. 1, IEEE, 2006, pp. 639–634, doi:10.1109/ICCIAS.2006.294214.
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[7]
2006 | Conference Paper | IST-REx-ID: 3685
Lampert, Christoph. Machine Learning for Video Compression: Macroblock Mode Decision. IEEE, 2006, pp. 936–40, doi:10.1109/ICPR.2006.778.
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[6]
2006 | Conference Paper | IST-REx-ID: 3692
Keysers, Daniel, et al. Color Image Dequantization by Constrained Diffusion. Vol. 6058, SPIE, 2006, doi:10.1117/12.648713.
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[5]
2005 | Conference Paper | IST-REx-ID: 3684
Lampert, Christoph, et al. Oblivious Document Capture and Real-Time Retrieval. CBDAR, 2005, pp. 79–86.
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[4]
2005 | Conference Paper | IST-REx-ID: 3689
Ulges, Adrian, et al. Document Image Dewarping Using Robust Estimation of Curled Text Lines. Vol. 2, IEEE, 2005, pp. 1001–05, doi: 10.1109/ICDAR.2005.90.
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[3]
2005 | Journal Article | IST-REx-ID: 3691
Lampert, Christoph. “Boundary Regularity of Admissible Operators.” Publicacions Matemàtiques, vol. 49, no. 1, Universitat Autònoma de Barcelona, Departament de Matemàtique, 2005, pp. 179–95, doi:10.5565/PUBLMAT_49105_08.
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[2]
2004 | Conference Paper | IST-REx-ID: 3688
Ulges, Adrian, et al. Document Capture Using Stereo Vision. ACM, 2004, pp. 198–200, doi:10.1145/1030397.1030434.
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[1]
2003 | Thesis | IST-REx-ID: 3678
Lampert, Christoph. “The Neumann Operator in Strictly Pseudoconvex Domains with Weighted Bergman Metric .” Bonner Mathematische Schriften, vol. 356, Universität Bonn, Fachbibliothek Mathematik, 2003, pp. 1–165.
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