Christoph H. Lampert

174 papers A* 39A 10B 3C 1Journal 89Unranked 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Sampling for Private Worst-Case Group Optimization. CoRR Max Cairney-Leeming, Amartya Sanyal, Christoph H. Lampert
2026	J	`jnl`	DP-λCGD: Efficient Noise Correlation for Differentially Private Model Training. CoRR Nikita P. Kalinin, Ryan McKenna, Rasmus Pagh, Christoph H. Lampert
2026	J	`jnl`	Matrix Factorization for Practical Continual Mean Estimation Under User-Level Differential Privacy. CoRR Nikita P. Kalinin, Ali Najar, Valentin Roth, Christoph H. Lampert
2026	J	`jnl`	Towards Robust Scaling Laws for Optimizers. CoRR Alexandra Volkova, Mher Safaryan, Christoph H. Lampert, Dan Alistarh
2025	J	`jnl`	ASIDE: Architectural Separation of Instructions and Data in Language Models. CoRR Egor Zverev, Evgenii Kortukov, Alexander Panfilov, Soroush Tabesh, Alexandra Volkova, Sebastian Lapuschkin, Wojciech Samek, Christoph H. Lampert
2025	J	`jnl`	Back to Square Roots: An Optimal Bound on the Matrix Factorization Error for Multi-Epoch Differentially Private SGD. CoRR Nikita P. Kalinin, Ryan McKenna, Jalaj Upadhyay, Christoph H. Lampert
2025	A*	`conf`	Can LLMs Separate Instructions From Data? And What Do We Even Mean By That? ICLR Egor Zverev, Sahar Abdelnabi, Soroush Tabesh, Mario Fritz, Christoph H. Lampert
2025	J	`jnl`	Continual Release Moment Estimation with Differential Privacy. CoRR Nikita P. Kalinin, Jalaj Upadhyay, Christoph H. Lampert
2025	J	`jnl`	Deep Multi-Task Learning Has Low Amortized Intrinsic Dimensionality. CoRR Hossein Zakerinia, Dorsa Ghobadi, Christoph H. Lampert
2025	J	`jnl`	Differentiable Weightless Controllers: Learning Logic Circuits for Continuous Control. CoRR Fabian Kresse, Christoph H. Lampert
2025	J	`jnl`	Differentially Private Federated CoRR Jonathan Scott, Christoph H. Lampert, David Saulpic
2025	A*	`conf`	Differentially Private Federated k-Means Clustering with Server-Side Data. ICML Jonathan Scott, Christoph H. Lampert, David Saulpic
2025	J	`jnl`	Fast Rate Bounds for Multi-Task and Meta-Learning with Different Sample Sizes. CoRR Hossein Zakerinia, Christoph H. Lampert
2025	J	`jnl`	Federated Learning with Unlabeled Clients: Personalization Can Happen in Low Dimensions. CoRR Hossein Zakerinia, Jonathan Scott, Christoph H. Lampert
2025	—	`conf`	Intriguing Properties of Robust Classification. CVPR Workshops Bernd Prach, Christoph H. Lampert
2025	J	`jnl`	Learning Quantized Continuous Controllers for Integer Hardware. CoRR Fabian Kresse, Christoph H. Lampert
2025	—	`conf`	Logic Gate Neural Networks are Good for Verification. NeuS Fabian Kresse, Emily Yu, Christoph H. Lampert, Thomas A. Henzinger
2025	J	`jnl`	Logic Gate Neural Networks are Good for Verification. CoRR Fabian Kresse, Emily Yu, Christoph H. Lampert, Thomas A. Henzinger
2025	J	`jnl`	Neural Collapse is Globally Optimal in Deep Regularized ResNets and Transformers. CoRR Peter Súkeník, Christoph H. Lampert, Marco Mondelli
2025	J	`jnl`	Scalable Interconnect Learning in Boolean Networks. CoRR Fabian Kresse, Emily Yu, Christoph H. Lampert
2024	A*	`conf`	1-Lipschitz Layers Compared: Memory, Speed, and Certifiable Robustness. CVPR Bernd Prach, Fabio Brau, Giorgio C. Buttazzo, Christoph H. Lampert
2024	A*	`conf`	Banded Square Root Matrix Factorization for Differentially Private Model Training. NeurIPS Nikita P. Kalinin, Christoph H. Lampert
2024	J	`jnl`	Can LLMs Separate Instructions From Data? And What Do We Even Mean By That? CoRR Egor Zverev, Sahar Abdelnabi, Mario Fritz, Christoph H. Lampert
2024	J	`jnl`	Continual Learning: Applications and the Road Forward. Trans. Mach. Learn. Res. 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
2024	J	`jnl`	DP-KAN: Differentially Private Kolmogorov-Arnold Networks. CoRR Nikita P. Kalinin, Simone Bombari, Hossein Zakerinia, Christoph H. Lampert
2024	J	`jnl`	Intriguing Properties of Robust Classification. CoRR Bernd Prach, Christoph H. Lampert
2024	A*	`conf`	More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms. ICML Hossein Zakerinia, Amin Behjati, Christoph H. Lampert
2024	J	`jnl`	More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms. CoRR Hossein Zakerinia, Amin Behjati, Christoph H. Lampert
2024	A*	`conf`	Neural collapse vs. low-rank bias: Is deep neural collapse really optimal? NeurIPS Peter Súkeník, Christoph H. Lampert, Marco Mondelli
2024	A*	`conf`	PeFLL: Personalized Federated Learning by Learning to Learn. ICLR Jonathan Scott, Hossein Zakerinia, Christoph H. Lampert
2023	J	`jnl`	1-Lipschitz Layers Compared: Memory, Speed, and Certifiable Robustness. CoRR Bernd Prach, Fabio Brau, Giorgio C. Buttazzo, Christoph H. Lampert
2023	J	`jnl`	1-Lipschitz Neural Networks are more expressive with N-Activations. CoRR Bernd Prach, Christoph H. Lampert
2023	J	`jnl`	Continual Learning: Applications and the Road Forward. CoRR 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
2023	A*	`conf`	CrAM: A Compression-Aware Minimizer. ICLR Alexandra Peste, Adrian Vladu, Eldar Kurtic, Christoph H. Lampert, Dan Alistarh
2023	J	`jnl`	Cross-client Label Propagation for Transductive and Semi-Supervised Federated Learning. Trans. Mach. Learn. Res. Jonathan Scott, Michelle Yeo, Christoph H. Lampert
2023	A*	`conf`	Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model. NeurIPS Peter Súkeník, Marco Mondelli, Christoph H. Lampert
2023	J	`jnl`	ELSA: Partial Weight Freezing for Overhead-Free Sparse Network Deployment. CoRR Paniz Halvachi, Alexandra Peste, Dan Alistarh, Christoph H. Lampert
2023	J	`jnl`	Geolocation Predicting of Tweets Using BERT-Based Models. CoRR Kateryna Lutsai, Christoph H. Lampert
2023	J	`jnl`	PeFLL: A Lifelong Learning Approach to Personalized Federated Learning. CoRR Jonathan Scott, Hossein Zakerinia, Christoph H. Lampert
2022	—	`conf`	Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks. ECCV (21) Bernd Prach, Christoph H. Lampert
2022	J	`jnl`	Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks. CoRR Bernd Prach, Christoph H. Lampert
2022	J	`jnl`	CrAM: A Compression-Aware Minimizer. CoRR Alexandra Peste, Adrian Vladu, Dan Alistarh, Christoph H. Lampert
2022	J	`jnl`	FLEA: Provably Robust Fair Multisource Learning from Unreliable Training Data. Trans. Mach. Learn. Res. Eugenia Iofinova, Nikola Konstantinov, Christoph H. Lampert
2022	J	`jnl`	Fairness-Aware PAC Learning from Corrupted Data. J. Mach. Learn. Res. Nikola Konstantinov, Christoph H. Lampert
2022	J	`jnl`	FedProp: Cross-client Label Propagation for Federated Semi-supervised Learning. CoRR Jonathan Scott, Michelle Yeo, Christoph H. Lampert
2022	J	`jnl`	Generalization In Multi-Objective Machine Learning. CoRR Peter Súkeník, Christoph H. Lampert
2022	B	`conf`	Lightweight Conditional Model Extrapolation for Streaming Data under Class-Prior Shift. ICPR Paulina Tomaszewska, Christoph H. Lampert
2022	J	`jnl`	Lightweight Conditional Model Extrapolation for Streaming Data under Class-Prior Shift. CoRR Paulina Tomaszewska, Christoph H. Lampert
2022	—	`conf`	On the Implementation of Baselines and Lightweight Conditional Model Extrapolation (LIMES) Under Class-Prior Shift. RRPR Paulina Tomaszewska, Christoph H. Lampert
2021	J	`jnl`	FLEA: Provably Fair Multisource Learning from Unreliable Training Data. CoRR Eugenia Iofinova, Nikola Konstantinov, Christoph H. Lampert
2021	J	`jnl`	Fairness Through Regularization for Learning to Rank. CoRR Nikola Konstantinov, Christoph H. Lampert
2021	J	`jnl`	Fairness-Aware Learning from Corrupted Data. CoRR Nikola Konstantinov, Christoph H. Lampert
2021	—	`conf`	On the Impossibility of Fairness-Aware Learning from Corrupted Data. AFCR Nikola Konstantinov, Christoph H. Lampert
2021	—	`conf`	Overcoming Rare-Language Discrimination in Multi-Lingual Sentiment Analysis. IEEE BigData Jasmin Lampert, Christoph H. Lampert
2021	J	`jnl`	SSSE: Efficiently Erasing Samples from Trained Machine Learning Models. CoRR Alexandra Peste, Dan Alistarh, Christoph H. Lampert
2021	A*	`conf`	The inductive bias of ReLU networks on orthogonally separable data. ICLR Mary Phuong, Christoph H. Lampert
2021	J	`jnl`	Towards Understanding Knowledge Distillation. CoRR Mary Phuong, Christoph H. Lampert
2021	J	`jnl`	Unsupervised Video Prediction from a Single Frame by Estimating 3D Dynamic Scene Structure. CoRR Paul Henderson, Christoph H. Lampert, Bernd Bickel
2020	A	`conf`	A Flexible Selection Scheme for Minimum-Effort Transfer Learning. WACV Amélie Royer, Christoph H. Lampert
2020	J	`jnl`	A Flexible Selection Scheme for Minimum-Effort Transfer Learning. CoRR Amelie Royer, Christoph H. Lampert
2020	J	`jnl`	Correction to: KS(conf): A Light-Weight Test if a Multiclass Classifier Operates Outside of Its Specifications. Int. J. Comput. Vis. Rémy Sun, Christoph H. Lampert
2020	A*	`conf`	Functional vs. parametric equivalence of ReLU networks. ICLR Mary Phuong, Christoph H. Lampert
2020	J	`jnl`	KS(conf): A Light-Weight Test if a Multiclass Classifier Operates Outside of Its Specifications. Int. J. Comput. Vis. Rémy Sun, Christoph H. Lampert
2020	A*	`conf`	Leveraging 2D Data to Learn Textured 3D Mesh Generation. CVPR Paul Henderson, Vagia Tsiminaki, Christoph H. Lampert
2020	J	`jnl`	Leveraging 2D Data to Learn Textured 3D Mesh Generation. CoRR Paul Henderson, Vagia Tsiminaki, Christoph H. Lampert
2020	A	`conf`	Localizing Grouped Instances for Efficient Detection in Low-Resource Scenarios. WACV Amélie Royer, Christoph H. Lampert
2020	J	`jnl`	Localizing Grouped Instances for Efficient Detection in Low-Resource Scenarios. CoRR Amelie Royer, Christoph H. Lampert
2020	J	`jnl`	Object-Centric Image Generation with Factored Depths, Locations, and Appearances. CoRR Titas Anciukevicius, Christoph H. Lampert, Paul Henderson
2020	J	`jnl`	On the Sample Complexity of Adversarial Multi-Source PAC Learning. CoRR Nikola Konstantinov, Elias Frantar, Dan Alistarh, Christoph H. Lampert
2020	A*	`conf`	Unsupervised object-centric video generation and decomposition in 3D. NeurIPS Paul Henderson, Christoph H. Lampert
2020	J	`jnl`	Unsupervised object-centric video generation and decomposition in 3D. CoRR Paul Henderson, Christoph H. Lampert
2019	—	`conf`	Strategy Representation by Decision Trees with Linear Classifiers. QEST Pranav Ashok, Tomás Brázdil, Krishnendu Chatterjee, Jan Kretínský, Christoph H. Lampert, Viktor Toman
2019	J	`jnl`	Strategy Representation by Decision Trees with Linear Classifiers. CoRR Pranav Ashok, Tomás Brázdil, Krishnendu Chatterjee, Jan Kretínský, Christoph H. Lampert, Viktor Toman
2019	J	`jnl`	Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly. IEEE Trans. Pattern Anal. Mach. Intell. Yongqin Xian, Christoph H. Lampert, Bernt Schiele, Zeynep Akata
2018	J	`jnl`	Back to square one: probabilistic trajectory forecasting without bells and whistles. CoRR Ehsan Pajouheshgar, Christoph H. Lampert
2018	A*	`conf`	Data-Dependent Stability of Stochastic Gradient Descent. ICML Ilja Kuzborskij, Christoph H. Lampert
2018	J	`jnl`	Detecting Visual Relationships Using Box Attention. CoRR Alexander Kolesnikov, Christoph H. Lampert, Vittorio Ferrari
2018	J	`jnl`	KS(conf ): A Light-Weight Test if a ConvNet Operates Outside of Its Specifications. CoRR Rémy Sun, Christoph H. Lampert
2018	—	`conf`	KS(conf): A Light-Weight Test if a ConvNet Operates Outside of Its Specifications. GCPR Rémy Sun, Christoph H. Lampert
2018	A*	`conf`	Learning Equations for Extrapolation and Control. ICML Subham S. Sahoo, Christoph H. Lampert, Georg Martius
2018	J	`jnl`	Learning Equations for Extrapolation and Control. CoRR Subham S. Sahoo, Christoph H. Lampert, Georg Martius
2018	A*	`conf`	Learning Intelligent Dialogs for Bounding Box Annotation. CVPR Ksenia Konyushkova, Jasper R. R. Uijlings, Christoph H. Lampert, Vittorio Ferrari
2018	J	`jnl`	Towards Practical Conditional Risk Minimization. CoRR Alexander Zimin, Christoph H. Lampert
2017	J	`jnl`	Data-Dependent Stability of Stochastic Gradient Descent. CoRR Ilja Kuzborskij, Christoph H. Lampert
2017	—	`conf`	Extrapolation and learning equations. ICLR (Workshop) Georg Martius, Christoph H. Lampert
2017	J	`jnl`	Learning Intelligent Dialogs for Bounding Box Annotation. CoRR Ksenia Konyushkova, Jasper R. R. Uijlings, Christoph H. Lampert, Vittorio Ferrari
2017	A	`conf`	Learning Theory for Conditional Risk Minimization. AISTATS Alexander Zimin, Christoph H. Lampert
2017	A*	`conf`	Multi-task Learning with Labeled and Unlabeled Tasks. ICML Anastasia Pentina, Christoph H. Lampert
2017	—	`conf`	Optimal geospatial volunteer allocation needs realistic distances. IEEE BigData Jasmin Pielorz, Matthias Prandtstetter, Markus Straub, Christoph H. Lampert
2017	A*	`conf`	PixelCNN Models with Auxiliary Variables for Natural Image Modeling. ICML Alexander Kolesnikov, Christoph H. Lampert
2017	A	`conf`	Probabilistic Image Colorization. BMVC Amelie Royer, Alexander Kolesnikov, Christoph H. Lampert
2017	J	`jnl`	Probabilistic Image Colorization. CoRR Amelie Royer, Alexander Kolesnikov, Christoph H. Lampert
2017	J	`jnl`	Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly. CoRR Yongqin Xian, Christoph H. Lampert, Bernt Schiele, Zeynep Akata
2017	A*	`conf`	iCaRL: Incremental Classifier and Representation Learning. CVPR Sylvestre-Alvise Rebuffi, Alexander Kolesnikov, Georg Sperl, Christoph H. Lampert
2016	J	`jnl`	Active Task Selection for Multi-Task Learning. CoRR Anastasia Pentina, Christoph H. Lampert
2016	J	`jnl`	Deep Probabilistic Modeling of Natural Images using a Pyramid Decomposition. CoRR Alexander Kolesnikov, Christoph H. Lampert
2016	J	`jnl`	Extrapolation and learning equations. CoRR Georg Martius, Christoph H. Lampert
2016	A	`conf`	Improving Weakly-Supervised Object Localization By Micro-Annotation. BMVC Alexander Kolesnikov, Christoph H. Lampert
2016	J	`jnl`	Improving Weakly-Supervised Object Localization By Micro-Annotation. CoRR Alexander Kolesnikov, Christoph H. Lampert
2016	—	`conf`	Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation. ECCV (4) Alexander Kolesnikov, Christoph H. Lampert
2016	J	`jnl`	Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation. CoRR Alexander Kolesnikov, Christoph H. Lampert
2016	J	`jnl`	iCaRL: Incremental Classifier and Representation Learning. CoRR Sylvestre-Alvise Rebuffi, Alexander Kolesnikov, Christoph H. Lampert
2015	A*	`conf`	A multi-plane block-coordinate frank-wolfe algorithm for training structural SVMs with a costly max-oracle. CVPR Neel Shah, Vladimir Kolmogorov, Christoph H. Lampert
2015	A*	`conf`	Classifier adaptation at prediction time. CVPR Amelie Royer, Christoph H. Lampert
2015	J	`jnl`	Conditional Risk Minimization for Stochastic Processes. CoRR Alexander Zimin, Christoph H. Lampert
2015	A*	`conf`	Curriculum learning of multiple tasks. CVPR Anastasia Pentina, Viktoriia Sharmanska, Christoph H. Lampert
2015	J	`jnl`	Identifying Reliable Annotations for Large Scale Image Segmentation. CoRR Alexander Kolesnikov, Christoph H. Lampert
2015	—	`conf`	Lifelong Learning with Non-i.i.d. Tasks. NIPS Anastasia Pentina, Christoph H. Lampert
2015	—	`conf`	Optimal geospatial allocation of volunteers for crisis management. ICT-DM Jasmin Pielorz, Christoph H. Lampert
2015	A*	`conf`	Predicting the future behavior of a time-varying probability distribution. CVPR Christoph H. Lampert
2014	J	`jnl`	A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Structural SVMs with a Costly max-Oracle. CoRR Neel Shah, Vladimir Kolmogorov, Christoph H. Lampert
2014	A*	`conf`	A PAC-Bayesian bound for Lifelong Learning. ICML Anastasia Pentina, Christoph H. Lampert
2014	J	`jnl`	Attribute-Based Classification for Zero-Shot Visual Object Categorization. IEEE Trans. Pattern Anal. Mach. Intell. Christoph H. Lampert, Hannes Nickisch, Stefan Harmeling
2014	J	`jnl`	Blind Domain Adaptation: An RKHS Approach. CoRR Christoph H. Lampert
2014	—	`conf`	Closed-Form Approximate CRF Training for Scalable Image Segmentation. ECCV (3) Alexander Kolesnikov, Matthieu Guillaumin, Vittorio Ferrari, Christoph H. Lampert
2014	J	`jnl`	Closed-Form Training of Conditional Random Fields for Large Scale Image Segmentation. CoRR Alexander Kolesnikov, Matthieu Guillaumin, Vittorio Ferrari, Christoph H. Lampert
2014	A	`conf`	CoConut: Co-Classification with Output Space Regularization. BMVC Sameh Khamis, Christoph H. Lampert
2014	J	`jnl`	Curriculum Learning of Multiple Tasks. CoRR Anastasia Pentina, Viktoriia Sharmanska, Christoph H. Lampert
2014	A*	`conf`	Deep Fisher Kernels - End to End Learning of the Fisher Kernel GMM Parameters. CVPR Vladyslav Sydorov, Mayu Sakurada, Christoph H. Lampert
2014	J	`jnl`	Learning to Transfer Privileged Information. CoRR Viktoriia Sharmanska, Novi Quadrianto, Christoph H. Lampert
2014	—	`conf`	Mind the Nuisance: Gaussian Process Classification using Privileged Noise. NIPS Daniel Hernández-Lobato, Viktoriia Sharmanska, Kristian Kersting, Christoph H. Lampert, Novi Quadrianto
2014	J	`jnl`	Mind the Nuisance: Gaussian Process Classification using Privileged Noise. CoRR Daniel Hernández-Lobato, Viktoriia Sharmanska, Kristian Kersting, Christoph H. Lampert, Novi Quadrianto
2014	J	`jnl`	Proceedings of The 38th Annual Workshop of the Austrian Association for Pattern Recognition (ÖAGM), 2014. CoRR Vladimir Kolmogorov, Christoph H. Lampert, Emilie Morvant, Rustem Takhanov
2013	J	`jnl`	A PAC-Bayesian bound for Lifelong Learning. CoRR Anastasia Pentina, Christoph H. Lampert
2013	A	`conf`	Computing the M Most Probable Modes of a Graphical Model. AISTATS Chao Chen, Vladimir Kolmogorov, Yan Zhu, Dimitris N. Metaxas, Christoph H. Lampert
2013	A*	`conf`	Drosophila Embryo Stage Annotation Using Label Propagation. ICCV Tomas Kazmar, Evgeny Z. Kvon, Alexander Stark, Christoph H. Lampert
2013	A*	`conf`	Learning to Rank Using Privileged Information. ICCV Viktoriia Sharmanska, Novi Quadrianto, Christoph H. Lampert
2012	—	`conf`	Augmented Attribute Representations. ECCV (5) Viktoriia Sharmanska, Novi Quadrianto, Christoph H. Lampert
2012	—	`conf`	Beyond Dataset Bias: Multi-task Unaligned Shared Knowledge Transfer. ACCV (1) Tatiana Tommasi, Novi Quadrianto, Barbara Caputo, Christoph H. Lampert
2012	—	`conf`	Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction. NIPS Christoph H. Lampert
2012	J	`jnl`	Guest Editorial: Special Issue on Structured Prediction and Inference. Int. J. Comput. Vis. Matthew B. Blaschko, Christoph H. Lampert
2012	—	`conf`	Information Theoretic Clustering Using Minimum Spanning Trees. DAGM/OAGM Symposium Andreas C. Müller, Sebastian Nowozin, Christoph H. Lampert
2012	J	`jnl`	Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components. J. Real Time Image Process. Christoph H. Lampert, Jan Peters
2012	J	`jnl`	The Most Persistent Soft-Clique in a Set of Sampled Graphs CoRR Novi Quadrianto, Chao Chen, Christoph H. Lampert
2012	A*	`conf`	The Most Persistent Soft-Clique in a Set of Sampled Graphs. ICML Novi Quadrianto, Chao Chen, Christoph H. Lampert
2011	A*	`conf`	Enforcing topological constraints in random field image segmentation. CVPR Chao Chen, Daniel Freedman, Christoph H. Lampert
2011	J	`jnl`	Learning Dynamic Tactile Sensing With Robust Vision-Based Training. IEEE Trans. Robotics Oliver Kroemer, Christoph H. Lampert, Jan Peters
2011	A*	`conf`	Learning Multi-View Neighborhood Preserving Projections. ICML Novi Quadrianto, Christoph H. Lampert
2011	A	`conf`	Learning anticipation policies for robot table tennis. IROS Zhikun Wang, Christoph H. Lampert, Katharina Mülling, Bernhard Schölkopf, Jan Peters
2011	—	`conf`	Maximum Margin Multi-Label Structured Prediction. NIPS Christoph H. Lampert
2011	J	`jnl`	Semi-supervised kernel canonical correlation analysis with application to human fMRI. Pattern Recognit. Lett. Matthew B. Blaschko, Jacquelyn A. Shelton, Andreas M. Bartels, Christoph H. Lampert, Arthur Gretton
2011	J	`jnl`	Structured Learning and Prediction in Computer Vision. Found. Trends Comput. Graph. Vis. Sebastian Nowozin, Christoph H. Lampert
2010	A*	`conf`	An efficient divide-and-conquer cascade for nonlinear object detection. CVPR Christoph H. Lampert
2010	J	`jnl`	Global Interactions in Random Field Models: A Potential Function Ensuring Connectedness. SIAM J. Imaging Sci. Sebastian Nowozin, Christoph H. Lampert
2010	A*	`conf`	Movement templates for learning of hitting and batting. ICRA Jens Kober, Katharina Mülling, Oliver Kroemer, Christoph H. Lampert, Bernhard Schölkopf, Jan Peters
2010	—	`conf`	On Parameter Learning in CRF-Based Approaches to Object Class Image Segmentation. ECCV (6) Sebastian Nowozin, Peter V. Gehler, Christoph H. Lampert
2010	A*	`conf`	Optimizing one-shot recognition with micro-set learning. CVPR Kevin D. Tang, Marshall F. Tappen, Rahul Sukthankar, Christoph H. Lampert
2010	—	`conf`	Topic models for semantics-preserving video compression. Multimedia Information Retrieval Jörn Wanke, Adrian Ulges, Christoph H. Lampert, Thomas M. Breuel
2010	J	`jnl`	Unsupervised Object Discovery: A Comparison. Int. J. Comput. Vis. Tinne Tuytelaars, Christoph H. Lampert, Matthew B. Blaschko, Wray L. Buntine
2010	—	`conf`	Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer Learning. ECCV (2) Christoph H. Lampert, Oliver Krömer
2009	—	`conf`	Active Structured Learning for High-Speed Object Detection. DAGM-Symposium Christoph H. Lampert, Jan Peters
2009	—	`conf`	Combining appearance and motion for human action classification in videos. CVPR Workshops Paramveer S. Dhillon, Sebastian Nowozin, Christoph H. Lampert
2009	A*	`conf`	Detecting objects in large image collections and videos by efficient subimage retrieval. ICCV Christoph H. Lampert
2009	J	`jnl`	Efficient Subwindow Search: A Branch and Bound Framework for Object Localization. IEEE Trans. Pattern Anal. Mach. Intell. Christoph H. Lampert, Matthew B. Blaschko, Thomas Hofmann
2009	A*	`conf`	Global connectivity potentials for random field models. CVPR Sebastian Nowozin, Christoph H. Lampert
2009	J	`jnl`	Kernel Methods in Computer Vision. Found. Trends Comput. Graph. Vis. Christoph H. Lampert
2009	A*	`conf`	Learning to detect unseen object classes by between-class attribute transfer. CVPR Christoph H. Lampert, Hannes Nickisch, Stefan Harmeling
2009	A	`conf`	Object Localization with Global and Local Context Kernels. BMVC Matthew B. Blaschko, Christoph H. Lampert
2009	J	`jnl`	Structured prediction by joint kernel support estimation. Mach. Learn. Christoph H. Lampert, Matthew B. Blaschko
2008	—	`conf`	A Multiple Kernel Learning Approach to Joint Multi-class Object Detection. DAGM-Symposium Christoph H. Lampert, Matthew B. Blaschko
2008	—	`conf`	Bayes Optimal DDoS Mitigation by Adaptive History-Based IP Filtering. ICN Markus Goldstein, Christoph H. Lampert, Matthias Reif, Armin Stahl, Thomas M. Breuel
2008	A*	`conf`	Beyond sliding windows: Object localization by efficient subwindow search. CVPR Christoph H. Lampert, Matthew B. Blaschko, Thomas Hofmann
2008	A*	`conf`	Correlational spectral clustering. CVPR Matthew B. Blaschko, Christoph H. Lampert
2008	—	`conf`	Learning to Localize Objects with Structured Output Regression. ECCV (1) Matthew B. Blaschko, Christoph H. Lampert
2008	A*	`conf`	Partitioning of image datasets using discriminative context information. CVPR Christoph H. Lampert
2008	—	`conf`	Semi-supervised Laplacian Regularization of Kernel Canonical Correlation Analysis. ECML/PKDD (1) Matthew B. Blaschko, Christoph H. Lampert, Arthur Gretton
2007	—	`conf`	Optimal Dominant Motion Estimation Using Adaptive Search of Transformation Space. DAGM-Symposium Adrian Ulges, Christoph H. Lampert, Daniel Keysers, Thomas M. Breuel
2006	J	`jnl`	An Optimal Nonorthogonal Separation of the Anisotropic Gaussian Convolution Filter. IEEE Trans. Image Process. Christoph H. Lampert, Oliver Wirjadi
2006	B	`conf`	Anisotropic Gaussian Filtering using Fixed Point Arithmetic. ICIP Christoph H. Lampert, Oliver Wirjadi
2006	—	`conf`	Color image dequantization by constrained diffusion. Color Imaging: Processing, Hardcopy, and Applications Daniel Keysers, Christoph H. Lampert, Thomas M. Breuel
2006	—	`conf`	Machine Learning for Video Compression: Macroblock Mode Decision. ICPR (1) Christoph H. Lampert
2006	C	`conf`	Satellite Tracks Removal in Astronomical Images. CIARP Haider Ali, Christoph H. Lampert, Thomas M. Breuel
2005	A	`conf`	Document Image Dewarping using Robust Estimation of Curled Text Lines. ICDAR Adrian Ulges, Christoph H. Lampert, Thomas M. Breuel
2004	B	`conf`	Document capture using stereo vision. ACM Symposium on Document Engineering Adrian Ulges, Christoph H. Lampert, Thomas M. Breuel