Publications by Group Member (to be updated soon)
Complete list in BibTex format: cvml.bib Official institute's publication server: ISTA publist
preprints
- arXiv:2407.12569: Nikita P. Kalinin, Simone Bombari, Hossein Zakerinia, Christoph H. Lampert. "DP-KAN: Differentially Private Kolmogorov-Arnold Networks"
- arXiv:2403.06833: Egor Zverev, Sahar Abdelnabi, Soroush Tabesh, Mario Fritz, Christoph H. Lampert. "Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?"
- arXiv:2312.06872: Paniz Halvachi, Alexandra Peste, Dan Alistarh, Christoph H. Lampert. "ELSA: Partial Weight Freezing for Overhead-Free Sparse Network Deployment"
2024
- NeurIPS: Nikita Kalinin, Christoph H. Lampert. "Banded Square Root Matrix Factorization for Differentially Private Model Training "
- NeurIPS: Peter Súkeník, Marco Mondelli, Christoph Lampert. "Neural Collapse versus Low-rank Bias: Is Deep Neural Collapse Really Optimal?"
- NeurIPS: Daniel Beaglehole, Peter Súkeník, Marco Mondelli, Mikhail Belkin. "Average gradient outer product as a mechanism for deep neural collapse"
- NCAA (accepted): Peter Súkeník, Christoph H. Lampert. "Generalization In Multi-Objective Machine Learning"
- ICML: Hossein Zakerinia, Christoph H. Lampert. "More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms"
- ICML: Jonathan Scott, Áine Cahill. "Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials"
- CVPR: Bernd Prach, Fabio Brau, Giorgio Buttazzo, Christoph H. Lampert. "1-Lipschitz Layers Compared: Memory, Speed, and Certifiable Robustness"
- ICLR: Jonathan Scott, Hossein Zakerinia, Christoph H. Lampert. "PeFLL: Personalized Federated Learning by Learning to Learn"
- TMLR: Eli Verwimp, Rahaf Aljundi, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, Eyke Hüllermeier, Christopher Kanan, Dhireesha Kudithipudi, Christoph H. Lampert, Martin Mundt, Razvan Pascanu, Adrian Popescu, Andreas S. Tolias, Joost van de Weijer, Bing Liu, Vincenzo Lomonaco, Tinne Tuytelaars, Gido M. van de Ven. "Continual Learning: Applications, the Road Forward"
- TMLR: Denis Kuznedelev, Eldar Kurtic, Euvgenia Iofinova, Elias Frantar, Alexandra Peste, Dan Alistarh. "Accurate Neural Network Pruning Requires Rethinking Sparse Optimization"
2023
- NeurIPS: Peter Súkeník, Marco Mondelli, Christoph H. Lampert. "Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model"
- NeurIPS: Mher Safaryan, Alexandra Peste, Dan Alistarh. "Knowledge Distillation Performs Partial Variance Reduction"
- TMLR: Jonathan Scott, Michelle Yeo, Christoph H. Lampert. "Cross-client Label Propagation for Transductive Federated Learning"
- CVPR: Eugenia Iofinova, Alexandra Peste, Dan Alistarh. "Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures"
- ICLR: Alexandra Peste, Adrian Vladu, Christoph H. Lampert, Dan Alistarh. "CrAM: A Compression-Aware Minimizer"
2022
- Eugenia Iofinova*, Nikola Konstantinov*, Christoph H. Lampert. "FLEA: Provably Robust Fair Multisource Learning from Unreliable Training Data" Transactions on Machine Learning Research (TMLR)
- Bernd Prach, Christoph H. Lampert. "Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks" European Conference on Computer Vision (ECCV)
- Nikola Konstantinov, Christoph H. Lampert. "Fairness-Aware PAC Learning from Corrupted Data" Journal of Machine Learning Research (JMLR)
- Paulina Tomaszewska, Christoph H. Lampert. "Lightweight Conditional Model Extrapolation for Streaming Data under Class-Prior Shift" International Conference on Pattern Recognition (ICPR)
2021
- Nikola Konstantinov, Christoph H. Lampert. "On the Impossibility of Fairness-Aware Learning from Corrupted Data" Algorithmic Fairness workshop at NeurIPS 2021.
- Jasmin Lampert, Christoph H. Lampert. "Overcoming Rare-Language Discrimination in Multi-Lingual Sentiment Analysis" IEEE International Conference on Big Data (Big Data)
- Mary Phuong, Christoph H. Lampert. "The Inductive Bias of ReLU Networks on Orthogonally Separable Data". International Conference on Learning Representations (ICLR).
2020
- Paul Henderson and Christoph H. Lampert. "Unsupervised object-centric video generation and decomposition in 3D". Neural Information Processing Systems (NeurIPS).
- Konstantinos Gavriil, Ruslan Guseinov, Jesús Pérez, Davide Pellis, Paul Henderson, Florian Rist, Helmut Pottmann and Bernd Bickel. "Computational Design of Cold Bent Glass Façades" (SIGGRAPH Asia).
- Krishnendu Chatterjee, Martin Chmelik, Deep Karkhanis, Petr Novotny, Amelie Royer. Multiple-Environment Markov Decision Processes: Efficient Analysis and Applications. International Conference on Automated Planning and Scheduling (ICAPS), 2020.
- Vaclav Volhejn, Christoph H. Lampert. "Does SGD Implicitly Optimize for Smoothness? ". German Conference on Pattern Recognition (GCPR).
- Nikola Konstantinov, Elias Frantar, Dan Alistarh, Christoph H. Lampert. "On the Sample Complexity of Adversarial Multi-Source PAC Learning", International Conference on Machine Learning (ICML).
- Paul Henderson, Vagia Tsiminaki, Christoph H. Lampert. "Leveraging 2D Data to Learn Textured 3D Mesh Generation", IEEE/CVF Computer Vision and Pattern Recognition (CVPR).
- Paul Henderson, Vittorio Ferrari. "Learning Single-Image 3D Reconstruction by Generative Modelling of Shape, Pose and Shading"; International Journal of Computer Vision (IJCV).
- Mary Phuong, Christoph H. Lampert. "Functional vs. parametric equivalence of ReLU networks". International Conference on Learning Representations (ICLR)
- Amélie Royer, Christoph H. Lampert. "A Flexible Selection Scheme for Minimum-Effort Transfer Learning". Winter Conference on Applications of Computer Vision (WACV)
- Amélie Royer, Christoph H. Lampert. "Localizing Grouped Instances for Efficient Detection in Low-Resource Scenarios". Winter Conference on Applications of Computer Vision (WACV)
2019
- Anastasia Pentina, Christoph H. Lampert. "Multi-source domain adaptation with guarantees". ML with Guarantees -- Workshop at NeurIPS 2019.
- Alexander Kolesnikov, Alina Kuznetsova, Christoph H. Lampert, Vittorio Ferrari. "Detecting Visual Relationships Using Box Attention" Scene Graph Representation and Learning (SGRL) -- Workshop at ICCV 2019.
- Rémy Sun, Christoph H. Lampert. "KS(conf): A Light-Weight Test if a Multiclass Classifier Operates Outside of Its Specifications". International Journal of Computer Vision (IJCV). (code and data; coming soon)
- Mary Phuong, Christoph H. Lampert "Distillation-Based Training for Multi-Exit Architectures". International Conference on Computer Vision (ICCV), 2019
- Pranav Ashok, Tomáš Brázdil, Krishnendu Chatterjee, Jan Křetínský, Christoph H. Lampert, Viktor Toman (alphabetic order). "Strategy Representation by Decision Trees with Linear Classifiers". International Conference on Quantitative Evaluation of SysTems (QEST), 2019.
- Mary Phuong, Christoph H. Lampert "Towards Understanding Knowledge Distillation". International Conference on Machine Learning (ICML), 2019
- Nikola Konstantinov, Christoph H. Lampert "Robust Learning from Untrusted Sources". International Conference on Machine Learning (ICML), 2019
- Alexander Zimin, Christoph H. Lampert. Tasks Without Borders: A New Approach to Online Multi-Task Learning. Adaptive and Multitask Learning -- Workshop at ICML 2019.
2018
- Dan Alistarh, Torsten Hoefler, Mikael Johansson, Nikola Konstantinov, Sarit Khirirat, Cédric Renggli (alphabetic order). "The convergence of sparsified gradient methods" Neural Information Processing Systems (NeurIPS) 2018, Montreal, Canada, 2018.
- Ehsan Pajouheshgar, Christoph H. Lampert. "Back to square one: probabilistic trajectory forecasting without bells and whistles". Workshop "Modeling and decision-making in the spatiotemporal domain" at NeurIPS 2018, Montreal, Canada, 2018.
- Dan Alistarh, Christopher De Sa, Nikola Konstantinov (alphabetic order). "The convergence of stochastic gradient descent in asynchronous shared memory" ACM Symposium on Principles of Distributed Computing (PODC) 2018.
- Remy Sun, Christoph H. Lampert. "KS(conf): A Light-Weight Test if a ConvNet Operates Outside of Its Specifications". German Conference on Pattern Recognition (GCPR), Stuttgart, Germany, 2018. (code and data)
- Yongqin Xian, Christoph H. Lampert, Bernt Schiele, Zeynep Akata. "Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly". IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018.
- Amélie Royer, Konstantinos Bousmalis, Stephan Gouws, Fred Bertsch, Inbar Mosseri, Forrester Cole, Kevin Murphy. "XGAN: Unsupervised image-to-image translation for many-to-many mappings" Workshop on Domain Adaptation for Visual Understanding (DAVU) at IJCAI/ECAI/AAMAS/ICML 2018
- Ilja Kuzborskij, Christoph H. Lampert. "Data-Dependent Stability of Stochastic Gradient Descent". International Conference on Machine Learning (ICML), 2018
- Subham S. Sahoo, Christoph H. Lampert, Georg Martius. "Learning equations for extrapolation and control". International Conference on Machine Learning (ICML), 2018
- Ksenia Konyushkova, Jasper Uijlings, Christoph H. Lampert, Vittorio Ferrari. "Learning Intelligent Dialogs for Bounding Box Annotation" IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
- Harald Ringbauer, Alexander Kolesnikov; David Field; Nicholas H. Barton. Estimating barriers to gene flow from distorted isolation-by-distance patterns, Genetics, 2018
2017
- Amelie Royer*, Alexander Kolesnikov*, Christoph H. Lampert. "Probabilistic Image Colorization" British Machine Vision Confernece (BMVC) 2017 (*: equal contribution)
- Alexander Kolesnikov , Christoph H. Lampert. "PixelCNN models with Auxiliary Variables for Natural Image Modeling", International Conference on Machine Learning (ICML) 2017
- Anastasia Pentina, Christoph H. Lampert. "Multi-Task Learning with Labeled and Unlabeled Tasks", International Conference on Machine Learning (ICML) 2017
- Sylvestre-Alvise Rebuffi, Alexander Kolesnikov, Georg Sperl, Christoph H. Lampert. "iCaRL: Incremental Classifier and Representation Learning", IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017
- Alexander Zimin, Christoph H. Lampert. "Learning Theory for Conditional Risk Minimization", AI & Statistics (AISTATS), 2017
- Ralf Der, Georg Martius. "Self-Organized Behavior Generation for Musculoskeletal Robots", Frontiers in Neurorobotics, 2017
2016
- Anastasia Pentina, Ruth Urner, "Lifelong Learning with Weighted Majority Votes", Neural Information Processing Systems (NIPS), 2016
- Alexander Kolesnikov, Christoph H. Lampert, "Seed, Expand, Constrain: Three Principles for Weakly-Supervised Learning", European Conference on Computer Vision (ECCV), 2016
- Alexander Kolesnikov, Christoph H. Lampert, "Improving Weakly-Supervised Object Localization By Micro-Annotation", British Machine Vision Conference (BMVC), 2016
- Ralf Der, Georg Martius, "Dynamical self-consistency leads to behavioral development and emergent social interactions in robots", IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EPIROB), 2016
2015
- Anastasia Pentina, Christoph H. Lampert. "Lifelong Learning with Non-i.i.d. Tasks", (NIPS), 2015
- Jasmin Pielorz, Christoph H. Lampert. "Optimal Geospatial Allocation of Volunteers for Crisis Management", International Conference on Information and Communication Technologies for Disaster Management (ICT-DM), 2015
- Georg Martius, Eckehard Olbrich. "Quantifying emergent behavior of autonomous robots", Entropy (17), 2015
- Ralf Der, Georg Martius. "Novel plasticity rule can explain the development of sensorimotor intelligence", PNAS (112), 2015.
- Anastasia Pentina, Shai Ben-David. "Multi-task and Lifelong Learning of Kernels", Algorithmic Learning Theory (ALT), 2015
- Amélie Royer, Christoph H. Lampert. "Classifier Adaptation at Prediction Time", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
- Neel Shah, Vladimir Kolmogorov, Christoph H. Lampert. "A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Training Structural SVMs with a Costly max-Oracle", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
- Christoph H. Lampert. "Predicting the Future Behavior of a Time-Varying Probability Distribution", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
- Anastasia Pentina, Viktoriia Sharmanska, Christoph H. Lampert. "Curriculum Learning of Multiple Tasks", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
- Wei Xia, Csaba Domokos, Junjun Xiong, Loong Fah Cheong, Shuicheng Yan. "Segmentation over detection via optimal sparse reconstructions". IEEE Transactions on Circuits and Systems for Video Technology, 2015
- Emilie Morvant. "Domain Adaptation of Weighted Majority Votes via Perturbed Variation-Based Self-Labeling", Pattern Recognition Letters (PRL), 2015.
2014
- Daniel Hernandez-Lobato, Viktoriia Sharmanska, Kristian Kersting, Christoph H. Lampert, Novi Quadrianto. "Mind the Nuisance: Gaussian Process Classification using Privileged Noise", Neural Information Processing Systems (NIPS), 2014
- Mario Marchand, Su Hongyu, Emilie Morvant, Juho Rousu, John Shawe-Taylor. "Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks", Neural Information Processing Systems (NIPS), 2014
- Alexander Kolesnikov, Matthieu Guillaumin, Vittorio Ferrari, Christoph H. Lampert, "Closed-Form Approximate CRF Training for Scalable Image Segmentation ", European Conference on Computer Vision (ECCV), 2014
- Sameh Khamis, Christoph H. Lampert, "CoConut: Co-Classification with Output Space Regularization" , British Machine Vision Conference (BMVC), 2014
- Anastasia Pentina, Christoph H. Lampert, "A PAC-Bayesian bound for Lifelong Learning", International Conference on Machine Learning (ICML), 2014
- Vladyslav Sydorov*, Mayu Sakurada*, Christoph H. Lampert, "Deep Fisher Kernels - End to End Learning of the Fisher Kernel GMM Parameters", IEEE Computer Vision and Pattern Recognition (CVPR), 2014 (* means equal contribution)
- Aurelien Bellet, Amaury Habrarde, Emilie Morvant, Marc Sebban, "Learning A Priori Constrained Weighted Majority Votes", Machine Learing, Springer, 2014
- Emilie Morvant, Amaury Habrard, Stéphane Ayache. "Majority Vote of Diverse Classifiers for Late Fusion", IAPR Joint International Workshops on Statistical Techniques in Pattern Recognition and Structural and Syntactic Pattern Recognition (S+SSPR), 2014
2013
- Tomas Kazmar, Evgeny Kvon, Alex Stark, Christoph H. Lampert, "Drosophila Embryo Stage Annotation using Label Propagation", International Conference on Computer Vision (ICCV), 2013.
- Viktoriia Sharmanska, Novi Quadrianto, Christoph H. Lampert, "Learning to Rank Using Privileged Information", International Conference on Computer Vision (ICCV), 2013.
- Christoph H. Lampert, Hannes Nickisch, Stefan Harmeling, "Attribute-Based Classification for Zero-Shot Learning of Object Categories", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2013.
- Chao Chen, Vladimir Kolmogorov, Yan Zhu, Dimitris Metaxas, Christoph H. Lampert, "Computing the M Most Probable Modes of a Graphical Model", International Conference on Artificial Intelligence and Statistics (AISTATS), 2013.
2012
- Christoph H. Lampert: "Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction", Neural Information Processing Systems (NIPS), Lake Tahoe, 2012 -- poster
- Tatiana Tommasi, Novi Quadrianto, Barbara Caputo, Christoph H. Lampert: "Beyond Dataset Bias: Multi-task Unaligned Shared Knowledge Transfer", Asian Conference on Computer Vision (ACCV), Daejon, KR, 2012.
- Oliver Kroemer, Christoph H. Lampert, Jan Peters: "Multi-Modal Learning for Dynamic Tactile Sensing", IROS Workshop "Advances in tactile sensing and touch-based human-robot interaction", Vilamoura, Portugal.
- Viktoriia Sharmanska, Novi Quadrianto, Christoph H. Lampert: "Augmented Attribute Representations", European Conference on Computer Vision (ECCV), Florence, IT, 2012.
- Andreas Müller, Sebastian Nowozin, Christoph H. Lampert: "Information Theoretic Clustering using Minimum Spanning Trees", Joint Pattern Recognition Symposium of DAGM and ÖAGM (DAGM-OAGM), Graz, 2012
- Filip Korč, Vladimir Kolmogorov, Christoph H. Lampert: "Approximating Marginals Using Discrete Energy Minimization ", Inferning Workshop at ICML, 2012. (Extended TechReport)
- Novi Quadrianto, Chao Chen, Christoph H. Lampert: "The Most Persistent Soft-Clique in a Set of Sampled Graphs", International Conference on Machine Learning (ICML), 2012.
- Matthew B. Blaschko, Christoph H. Lampert: "Guest Editorial: Special Issue on Structured Prediction and Inference", International Journal on Computer Vision (IJCV), 2012 (online first)
- Christoph H. Lampert, Jan Peters: "Real-Time Detection of Colored Objects In Multiple Camera Streams With Off-the-Shelf Hardware Components", Journal of Real-Time Image Processing (JRTIP), special issue "Real-Time 3D Imaging and Processing, 2012 "online first"
2011
- Christoph H. Lampert: "Maximum Margin Multi-Label Structured Prediction"; Neural Information Processing Systems(NIPS), 2011 (supplemental) (poster)
- Zhikun Wang, Christoph H. Lampert, Katharina Muelling, Bernhard Schölkopf, Jan Peters: "Learning Anticipation Policies for Robot Table Tennis"; IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2011
- Novi Quadrianto, Christoph H. Lampert: "Learning multi-view neighborhood preserving projections" International Conference on Machine Learning (ICML), 2011
- Oliver Krömer, Christoph H. Lampert, Jan Peters: "Learning dynamic tactile sensing with robust vision-based training" IEEE Transactions on Robotics (T-RO), 27(3), p.545-557, 2011
- Novi Quadrianto, Christoph H. Lampert: "Kernel-based Learning"; Invited Chapter in Encyclopedia of Systems Biology, Springer, 2011.
- Chao Chen, Daniel Freedman, Christoph H. Lampert: "Enforcing topological constraints in random field image segmentation" IEEE Computer Vision and Pattern Recognition (CVPR), 2011
- Sebastian Nowozin, Christoph H. Lampert: "Structured Learning and Prediction in Computer Vision", Foundations and Trends in Computer Graphics and Vision (FnT CGV), 6(3-4), p. 185-365, 2011
- Matthew B. Blaschko; Jacquelyn A. Shelton; Andreas Bartels; Christoph H. Lampert; Arthur Gretton: "Semi-supervised Kernel Canonical Correlation Analysis with Application to Human fMRI", Pattern Recognition Letters (PRL), 32, p. 1572-1583, 2011
2010
- Christoph H. Lampert, Oliver Krömer: "Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer Learning", European Conference on Computer Vision (ECCV), Heraklion, Greece, 2010
- Sebastian Nowozin, Peter Gehler, Christoph H. Lampert: "On Parameter Learning in CRF-based Approaches to Object Class Image Segmentation" European Conference on Computer Vision (ECCV), Heraklion, Greece, 2010
- Christoph H. Lampert: "An Efficient Divide-and-Conquer Cascade for Nonlinear Object Detection", IEEE Computer Vision and Pattern Recognition (CVPR), San Francisco, CA, 2010
- Kevin D. Tang, Marshall F. Tappen, Rahul Sukthankar, Christoph H. Lampert: "Optimizing One-Shot Recognition with Micro-Set Learning" IEEE Computer Vision and Pattern Recognition (CVPR), San Francisco, CA, 2010
- Jens Kober, Katharina Mülling, Oliver Krömer, Christoph H. Lampert, Bernhard Schölkopf, Jan Peters: "Movement Templates for Learning of Hitting and Batting", International Conference on Robotics and Automation (ICRA), Anchorage, AK, 2010
- Sebastian Nowozin, Christoph H. Lampert: "Global Interactions in Random Field Models: A Potential Function Ensuring Connectedness", SIAM Journal on Imaging Science (SIIMS), 2010
- Jörn Wanke, Adrian Ulges, Christoph H. Lampert, Thomas M. Breuel: "Topic Models for Semantic Video Compression" ACM International Conference on Multimedia Information Retrieval (ACM MIR), Philadelphia, PA, 2010
- Tinne Tuytelaars, Christoph H. Lampert, Matthew B. Blaschko, Wray Buntine, "Unsupervised Object Discovery: A comparison", International Journal of Computer Vision (IJCV), 2010
2009
- Christoph H. Lampert: "Kernel Methods in Computer Vision", Foundations and Trends in Computer Graphics and Vision, vol. 4, no 3, pp 193-285, 2009
- Christoph H. Lampert, Matthew B. Blaschko, Thomas Hofmann, "Efficient Subwindow Search: A Branch and Bound Framework for Object Localization", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2009
- Matthew B. Blaschko, Christoph H. Lampert: "Object Localization with Global and Local Context Kernels", British Machine Vision Conference (BMVC), London, UK, 2009
- Christoph H. Lampert: "Detecting Objects in Large Image Collections and Videos by Efficient Subimage Retrieval", IEEE International Conference on Computer Vision (ICCV), Kyoto, Japan, 2009
- Christoph H. Lampert, Jan Peters: "Active Structured Learning for High-Speed Object Detection", Proceedings of the DAGM, Jena, Germany, 2009
- Christoph H. Lampert, Hannes Nickisch, Stefan Harmeling: "Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer", IEEE Computer Vision and Pattern Recognition (CVPR), Miami, FL, 2009
- Sebastian Nowozin, Christoph H. Lampert: "Global Connectivity Potentials for Random Field Models", IEEE Computer Vision and Pattern Recognition (CVPR), Miami, FL, 2009
- Paramveer S. Dhillon, Sebastian Nowozin, Christoph H. Lampert: "Combining Appearance and Motion for Human Action Classification in Videos" 1st International Workshop on Visual Scene Understanding (VISU) at CVPR, Miami, FL, 2009
- Christoph H. Lampert, Matthew B. Blaschko: "Structured Prediction by Joint Kernel Support Estimation", Machine Learning, 2009
2008
- Christoph H. Lampert, Matthew B. Blaschko: "Joint Kernel Support Estimation for Structured Prediction" Workshop 'Structured Input - Structured Output' at NIPS, Whistler, Canada, 2009
- Matthew B. Blaschko, Christoph H. Lampert:
"Learning to Localize Objects with Structured Output Regression",
European Conference on Computer Vision (ECCV), Marseilles, France, 2008 (slides)
Winning contribution Best Student Paper ECCV 2008 - Matthew B. Blaschko, Christoph H. Lampert, Arthur Gretton: "Semi-Supervised Laplacian Regularization of Kernel Canonical Correlation Analysis", ECML PKDD, Antwerp, Belgium, 2008 -- slides poster
- Paramveer S. Dhillon, Sebastian Nowozin, Christoph H. Lampert: "Combining Appearance and Motion for Human Action Classification in Videos", Technical Report 174, Max-Planck-Institute for Biological Cybernetics, August 2008
- Christoph H. Lampert, Matthew B. Blaschko, Thomas Hofmann:
"Beyond Sliding Windows: Object Localization by Efficient Subwindow Search",
IEEE Computer Vision and Pattern Recognition (CVPR),
Anchorage, AK, 2008 (slides)
Winning contribution Best Paper CVPR 2008 - Christoph H. Lampert: "Partitioning of Image Datasets using Discriminative Context Information" IEEE Computer Vision and Pattern Recognition (CVPR), Anchorage, AK, 2008 (poster)
- Matthew B. Blaschko, Christoph H. Lampert: "Correlational Spectral Clustering", IEEE Computer Vision and Pattern Recognition (CVPR), Anchorage, AK, 2008
- Christoph H. Lampert, Matthew B. Blaschko:
"A Multiple Kernel Learning Approach to Joint Multi-Class Object Detection"
Proceedings of the DAGM, Munich, Germany, 2008
Winning contribution DAGM Main Prize 2008 - Markus Goldstein, Christoph H. Lampert, Matthias Reif, Armin Stahl and Thomas M. Breuel: "Bayes Optimal DDoS Mitigation by Adaptive History-Based IP Filtering", 7th International Conference on Networking (ICN), Cancun, Mexico, 2008
2007
- Matthew B. Blaschko, Thomas Hofmann, Christoph H. Lampert: "Efficient Subwindow Search for Object Localization", Technical Report 164, Max-Planck-Institute for Biological Cybernetics, August 2007
- Adrian Ulges, Christoph Lampert, Daniel Keysers, Thomas Breuel: "Optimal Dominant Motion Estimation using Adaptive Search of Transformation Space", Proceedings of the DAGM, 2007 (poster).
2006
- Christoph H. Lampert, Oliver Wirjadi: "An Optimal Non-Orthogonal Separation of the Anisotropic Gaussian Convolution Filter", IEEE Transactions on Image Processing (IEEE-TIP) (15), pages 3501-3513, November 2006
- Haider Ali, Christoph H. Lampert, Thomas M. Breuel: "Satellite Tracks Removal in Astronomical Images", Progress in Pattern Recognition, Image Analysis and Applications, 11th Iberoamerican Congress on Pattern Recognition, CIARP 2006
- Daniel Keysers, Christoph H. Lampert, Thomas M. Breuel: "Color image dequantization by Constrained Diffusion", SPIE Electronic Imaging, pages 6058.03.01-6058.03.10, 2006
- Christoph H. Lampert: "Machine Learning for Video Compression: Macroblock Mode Decision", 18th International Conference on Pattern Recognition (ICPR 2006), Hongkong, 2006
- Christoph H. Lampert, Lin Mei, Thomas M. Breuel: "Printing Technique Classification for Document Counterfeit Detection", Computational Intelligence and Security (CIS) 2006, Ghuangzhou, China, 2006
- Christoph H. Lampert, Oliver Wirjadi: "Anisotropic Gaussian Filtering using Fixed Point Arithmetic", Proceedings of the 2006 International Conference on Image Processing (ICIP), pages 1565-1568, IEEE, 2006
- Christoph H. Lampert, Thomas M. Breuel: "Objective Quality Measurement for Geometric Document Image Restoration (extended abstract)", 7th IAPR Workshop on Document Analysis Systems (DAS), 2006
- Adrian Ulges, Christoph H. Lampert, Daniel Keysers: "Spatiogram-Based Shot Distances for Video Retrieval", Trecvid 2006 Workshop, 2006.
2005 And Before
- Christoph H. Lampert, Tim Braun, Adrian Ulges, Daniel Keysers, Thomas M. Breuel: "Oblivious Document Capture and Real-Time Retrieval", International Workshop on Camera Based Document Analysis and Recognition (CBDAR), pages 79-86, 2005
- Adrian Ulges, Christoph H. Lampert, Thomas M. Breuel: "Document Image Dewarping using Robust Estimation of Curled Text Lines", International Conference on Document Analysis and Recognition (ICDAR), pages 1001-1005, 2005
- Christoph H. Lampert: "Boundary Regularity of Admissible Operators", Publicacions Matematiques (49), pages 179-195, 2005
- Adrian Ulges, Christoph H. Lampert, Thomas M. Breuel: "Document Capture using Stereo Vision", ACM Symposium on Document Engineering, pages 198-200, 2004
- Christoph H. Lampert: "Der Neumannoperator in streng pseudokonvexen Gebieten mit gewichteter Bergmannmetrik" (in German). PhD Thesis, University of Bonn, Germany, 2003