Christoph H. Lampert

According to our database, Christoph H. Lampert authored at least 136 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Continual Learning: Applications and the Road Forward.

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

Trans. Mach. Learn. Res., 2024

DP-KAN: Differentially Private Kolmogorov-Arnold Networks.

Nikita P. Kalinin, Simone Bombari, Hossein Zakerinia, Christoph H. Lampert

CoRR, 2024

Neural Collapse versus Low-rank Bias: Is Deep Neural Collapse Really Optimal?

Peter Súkeník, Marco Mondelli, Christoph Lampert

CoRR, 2024

Banded Square Root Matrix Factorization for Differentially Private Model Training.

Nikita Kalinin, Christoph Lampert

CoRR, 2024

Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?

Egor Zverev, Sahar Abdelnabi, Mario Fritz, Christoph H. Lampert

CoRR, 2024

More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms.

Hossein Zakerinia, Amin Behjati, Christoph H. Lampert

Proceedings of the Forty-first International Conference on Machine Learning, 2024

PeFLL: Personalized Federated Learning by Learning to Learn.

Jonathan Scott, Hossein Zakerinia, Christoph H. Lampert

Proceedings of the Twelfth International Conference on Learning Representations, 2024

1-Lipschitz Layers Compared: Memory, Speed, and Certifiable Robustness.

Bernd Prach, Fabio Brau, Giorgio C. Buttazzo, Christoph H. Lampert

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Cross-client Label Propagation for Transductive and Semi-Supervised Federated Learning.

Jonathan Scott, Michelle Yeo, Christoph H. Lampert

Trans. Mach. Learn. Res., 2023

ELSA: Partial Weight Freezing for Overhead-Free Sparse Network Deployment.

Paniz Halvachi, Alexandra Peste, Dan Alistarh, Christoph H. Lampert

CoRR, 2023

1-Lipschitz Neural Networks are more expressive with N-Activations.

Bernd Prach, Christoph H. Lampert

CoRR, 2023

PeFLL: A Lifelong Learning Approach to Personalized Federated Learning.

Jonathan Scott, Hossein Zakerinia, Christoph H. Lampert

CoRR, 2023

Geolocation Predicting of Tweets Using BERT-Based Models.

Kateryna Lutsai, Christoph H. Lampert

CoRR, 2023

Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model.

Peter Súkeník, Marco Mondelli, Christoph H. Lampert

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CrAM: A Compression-Aware Minimizer.

Alexandra Peste, Adrian Vladu, Eldar Kurtic, Christoph H. Lampert, Dan Alistarh

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

FLEA: Provably Robust Fair Multisource Learning from Unreliable Training Data.

Eugenia Iofinova, Nikola Konstantinov, Christoph H. Lampert

Trans. Mach. Learn. Res., 2022

Fairness-Aware PAC Learning from Corrupted Data.

Nikola Konstantinov, Christoph H. Lampert

J. Mach. Learn. Res., 2022

FedProp: Cross-client Label Propagation for Federated Semi-supervised Learning.

Jonathan Scott, Michelle Yeo, Christoph H. Lampert

CoRR, 2022

Generalization In Multi-Objective Machine Learning.

Peter Súkeník, Christoph H. Lampert

CoRR, 2022

CrAM: A Compression-Aware Minimizer.

Alexandra Peste, Adrian Vladu, Dan Alistarh, Christoph H. Lampert

CoRR, 2022

On the Implementation of Baselines and Lightweight Conditional Model Extrapolation (LIMES) Under Class-Prior Shift.

Paulina Tomaszewska, Christoph H. Lampert

Proceedings of the Reproducible Research in Pattern Recognition, 2022

Lightweight Conditional Model Extrapolation for Streaming Data under Class-Prior Shift.

Paulina Tomaszewska, Christoph H. Lampert

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks.

Bernd Prach, Christoph H. Lampert

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

SSSE: Efficiently Erasing Samples from Trained Machine Learning Models.

Alexandra Peste, Dan Alistarh, Christoph H. Lampert

CoRR, 2021

FLEA: Provably Fair Multisource Learning from Unreliable Training Data.

Eugenia Iofinova, Nikola Konstantinov, Christoph H. Lampert

CoRR, 2021

Unsupervised Video Prediction from a Single Frame by Estimating 3D Dynamic Scene Structure.

Paul Henderson, Christoph H. Lampert, Bernd Bickel

CoRR, 2021

Fairness-Aware Learning from Corrupted Data.

Nikola Konstantinov, Christoph H. Lampert

CoRR, 2021

Fairness Through Regularization for Learning to Rank.

Nikola Konstantinov, Christoph H. Lampert

CoRR, 2021

The inductive bias of ReLU networks on orthogonally separable data.

Mary Phuong, Christoph H. Lampert

Proceedings of the 9th International Conference on Learning Representations, 2021

Overcoming Rare-Language Discrimination in Multi-Lingual Sentiment Analysis.

Jasmin Lampert, Christoph H. Lampert

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

On the Impossibility of Fairness-Aware Learning from Corrupted Data.

Nikola Konstantinov, Christoph H. Lampert

Proceedings of the Algorithmic Fairness through the Lens of Causality and Robustness Workshop, 2021

2020

Correction to: KS(conf): A Light-Weight Test if a Multiclass Classifier Operates Outside of Its Specifications.

Rémy Sun, Christoph H. Lampert

Int. J. Comput. Vis., 2020

KS(conf): A Light-Weight Test if a Multiclass Classifier Operates Outside of Its Specifications.

Rémy Sun, Christoph H. Lampert

Int. J. Comput. Vis., 2020

Object-Centric Image Generation with Factored Depths, Locations, and Appearances.

Titas Anciukevicius, Christoph H. Lampert, Paul Henderson

CoRR, 2020

A Flexible Selection Scheme for Minimum-Effort Transfer Learning.

Amélie Royer, Christoph H. Lampert

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Localizing Grouped Instances for Efficient Detection in Low-Resource Scenarios.

Amélie Royer, Christoph H. Lampert

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Unsupervised object-centric video generation and decomposition in 3D.

Paul Henderson, Christoph H. Lampert

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On the Sample Complexity of Adversarial Multi-Source PAC Learning.

Nikola Konstantinov, Elias Frantar, Dan Alistarh, Christoph Lampert

Proceedings of the 37th International Conference on Machine Learning, 2020

Functional vs. parametric equivalence of ReLU networks.

Mary Phuong, Christoph H. Lampert

Proceedings of the 8th International Conference on Learning Representations, 2020

Does SGD Implicitly Optimize for Smoothness?

Václav Volhejn, Christoph Lampert

Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

Leveraging 2D Data to Learn Textured 3D Mesh Generation.

Paul Henderson, Vagia Tsiminaki, Christoph H. Lampert

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly.

Yongqin Xian, Christoph H. Lampert, Bernt Schiele, Zeynep Akata

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Strategy Representation by Decision Trees with Linear Classifiers.

Pranav Ashok, Tomás Brázdil, Krishnendu Chatterjee, Jan Kretínský, Christoph H. Lampert, Viktor Toman

Proceedings of the Quantitative Evaluation of Systems, 16th International Conference, 2019

Towards Understanding Knowledge Distillation.

Mary Phuong, Christoph Lampert

Proceedings of the 36th International Conference on Machine Learning, 2019

Robust Learning from Untrusted Sources.

Nikola Konstantinov, Christoph Lampert

Proceedings of the 36th International Conference on Machine Learning, 2019

Detecting Visual Relationships Using Box Attention.

Alexander Kolesnikov, Alina Kuznetsova, Christoph Lampert, Vittorio Ferrari

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Distillation-Based Training for Multi-Exit Architectures.

Mary Phuong, Christoph Lampert

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Guest Editors' Introduction to the Special Section on Learning with Shared Information for Computer Vision and Multimedia Analysis.

Trevor Darrell, Christoph Lampert, Nicu Sebe, Ying Wu, Yan Yan

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Back to square one: probabilistic trajectory forecasting without bells and whistles.

Ehsan Pajouheshgar, Christoph H. Lampert

CoRR, 2018

Detecting Visual Relationships Using Box Attention.

Alexander Kolesnikov, Christoph H. Lampert, Vittorio Ferrari

CoRR, 2018

Towards Practical Conditional Risk Minimization.

Alexander Zimin, Christoph H. Lampert

CoRR, 2018

Learning Equations for Extrapolation and Control.

Subham S. Sahoo, Christoph H. Lampert, Georg Martius

Proceedings of the 35th International Conference on Machine Learning, 2018

Data-Dependent Stability of Stochastic Gradient Descent.

Ilja Kuzborskij, Christoph H. Lampert

Proceedings of the 35th International Conference on Machine Learning, 2018

KS(conf): A Light-Weight Test if a ConvNet Operates Outside of Its Specifications.

Rémy Sun, Christoph H. Lampert

Proceedings of the Pattern Recognition - 40th German Conference, 2018

Learning Intelligent Dialogs for Bounding Box Annotation.

Ksenia Konyushkova, Jasper R. R. Uijlings, Christoph H. Lampert, Vittorio Ferrari

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Multi-task Learning with Labeled and Unlabeled Tasks.

Anastasia Pentina, Christoph H. Lampert

Proceedings of the 34th International Conference on Machine Learning, 2017

PixelCNN Models with Auxiliary Variables for Natural Image Modeling.

Alexander Kolesnikov, Christoph H. Lampert

Proceedings of the 34th International Conference on Machine Learning, 2017

Extrapolation and learning equations.

Georg Martius, Christoph H. Lampert

Proceedings of the 5th International Conference on Learning Representations, 2017

iCaRL: Incremental Classifier and Representation Learning.

Sylvestre-Alvise Rebuffi, Alexander Kolesnikov, Georg Sperl, Christoph H. Lampert

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Probabilistic Image Colorization.

Amelie Royer, Alexander Kolesnikov, Christoph H. Lampert

Proceedings of the British Machine Vision Conference 2017, 2017

Optimal geospatial volunteer allocation needs realistic distances.

Jasmin Pielorz, Matthias Prandtstetter, Markus Straub, Christoph H. Lampert

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Learning Theory for Conditional Risk Minimization.

Alexander Zimin, Christoph H. Lampert

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

iCaRL: Incremental Classifier and Representation Learning.

Sylvestre-Alvise Rebuffi, Alexander Kolesnikov, Christoph H. Lampert

CoRR, 2016

Active Task Selection for Multi-Task Learning.

Anastasia Pentina, Christoph H. Lampert

CoRR, 2016

Deep Probabilistic Modeling of Natural Images using a Pyramid Decomposition.

Alexander Kolesnikov, Christoph H. Lampert

CoRR, 2016

Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation.

Alexander Kolesnikov, Christoph H. Lampert

Proceedings of the Computer Vision - ECCV 2016, 2016

Improving Weakly-Supervised Object Localization By Micro-Annotation.

Alexander Kolesnikov, Christoph H. Lampert

Proceedings of the British Machine Vision Conference 2016, 2016

2015

Conditional Risk Minimization for Stochastic Processes.

Alexander Zimin, Christoph H. Lampert

CoRR, 2015

Identifying Reliable Annotations for Large Scale Image Segmentation.

Alexander Kolesnikov, Christoph H. Lampert

CoRR, 2015

Lifelong Learning with Non-i.i.d. Tasks.

Anastasia Pentina, Christoph H. Lampert

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Optimal geospatial allocation of volunteers for crisis management.

Jasmin Pielorz, Christoph H. Lampert

Proceedings of the 2nd International Conference on Information and Communication Technologies for Disaster Management, 2015

A multi-plane block-coordinate frank-wolfe algorithm for training structural SVMs with a costly max-oracle.

Neel Shah, Vladimir Kolmogorov, Christoph H. Lampert

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Classifier adaptation at prediction time.

Amelie Royer, Christoph H. Lampert

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Curriculum learning of multiple tasks.

Anastasia Pentina, Viktoriia Sharmanska, Christoph H. Lampert

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Predicting the future behavior of a time-varying probability distribution.

Christoph H. Lampert

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Attribute-Based Classification for Zero-Shot Visual Object Categorization.

Christoph H. Lampert, Hannes Nickisch, Stefan Harmeling

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Learning to Transfer Privileged Information.

Viktoriia Sharmanska, Novi Quadrianto, Christoph H. Lampert

CoRR, 2014

A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Structural SVMs with a Costly max-Oracle.

Neel Shah, Vladimir Kolmogorov, Christoph H. Lampert

CoRR, 2014

Blind Domain Adaptation: An RKHS Approach.

Christoph H. Lampert

CoRR, 2014

Proceedings of The 38th Annual Workshop of the Austrian Association for Pattern Recognition (ÖAGM), 2014.

Vladimir Kolmogorov, Christoph H. Lampert, Emilie Morvant, Rustem Takhanov

CoRR, 2014

Closed-Form Training of Conditional Random Fields for Large Scale Image Segmentation.

Alexander Kolesnikov, Matthieu Guillaumin, Vittorio Ferrari, Christoph H. Lampert

CoRR, 2014

Mind the Nuisance: Gaussian Process Classification using Privileged Noise.

Daniel Hernández-Lobato, Viktoriia Sharmanska, Kristian Kersting, Christoph H. Lampert, Novi Quadrianto

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

A PAC-Bayesian bound for Lifelong Learning.

Anastasia Pentina, Christoph H. Lampert

Proceedings of the 31th International Conference on Machine Learning, 2014

Closed-Form Approximate CRF Training for Scalable Image Segmentation.

Alexander Kolesnikov, Matthieu Guillaumin, Vittorio Ferrari, Christoph H. Lampert

Proceedings of the Computer Vision - ECCV 2014, 2014

Deep Fisher Kernels - End to End Learning of the Fisher Kernel GMM Parameters.

Vladyslav Sydorov, Mayu Sakurada, Christoph H. Lampert

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

CoConut: Co-Classification with Output Space Regularization.

Sameh Khamis, Christoph H. Lampert

Proceedings of the British Machine Vision Conference, 2014

2013

Learning to Rank Using Privileged Information.

Viktoriia Sharmanska, Novi Quadrianto, Christoph H. Lampert

Proceedings of the IEEE International Conference on Computer Vision, 2013

Drosophila Embryo Stage Annotation Using Label Propagation.

Tomas Kazmar, Evgeny Z. Kvon, Alexander Stark, Christoph H. Lampert

Proceedings of the IEEE International Conference on Computer Vision, 2013

Computing the M Most Probable Modes of a Graphical Model.

Chao Chen, Vladimir Kolmogorov, Yan Zhu, Dimitris N. Metaxas, Christoph H. Lampert

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012

Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components.

Christoph H. Lampert, Jan Peters

J. Real Time Image Process., 2012

Guest Editorial: Special Issue on Structured Prediction and Inference.

Matthew B. Blaschko, Christoph H. Lampert

Int. J. Comput. Vis., 2012

Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction.

Christoph H. Lampert

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

The Most Persistent Soft-Clique in a Set of Sampled Graphs.

Novi Quadrianto, Chao Chen, Christoph H. Lampert

Proceedings of the 29th International Conference on Machine Learning, 2012

Augmented Attribute Representations.

Viktoriia Sharmanska, Novi Quadrianto, Christoph H. Lampert

Proceedings of the Computer Vision - ECCV 2012, 2012

Information Theoretic Clustering Using Minimum Spanning Trees.

Andreas C. Müller, Sebastian Nowozin, Christoph H. Lampert

Proceedings of the Pattern Recognition, 2012

Beyond Dataset Bias: Multi-task Unaligned Shared Knowledge Transfer.

Tatiana Tommasi, Novi Quadrianto, Barbara Caputo, Christoph H. Lampert

Proceedings of the Computer Vision - ACCV 2012, 2012

2011

Learning Dynamic Tactile Sensing With Robust Vision-Based Training.

Oliver Kroemer, Christoph H. Lampert, Jan Peters

IEEE Trans. Robotics, 2011

Semi-supervised kernel canonical correlation analysis with application to human fMRI.

Matthew B. Blaschko, Jacquelyn A. Shelton, Andreas M. Bartels, Christoph H. Lampert, Arthur Gretton

Pattern Recognit. Lett., 2011

Structured Learning and Prediction in Computer Vision.

Sebastian Nowozin, Christoph H. Lampert

Found. Trends Comput. Graph. Vis., 2011

Maximum Margin Multi-Label Structured Prediction.

Christoph H. Lampert

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Learning anticipation policies for robot table tennis.

Zhikun Wang, Christoph H. Lampert, Katharina Mülling, Bernhard Schölkopf, Jan Peters

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Learning Multi-View Neighborhood Preserving Projections.

Novi Quadrianto, Christoph H. Lampert

Proceedings of the 28th International Conference on Machine Learning, 2011

Enforcing topological constraints in random field image segmentation.

Chao Chen, Daniel Freedman, Christoph H. Lampert

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Global Interactions in Random Field Models: A Potential Function Ensuring Connectedness.

Sebastian Nowozin, Christoph H. Lampert

SIAM J. Imaging Sci., 2010

Unsupervised Object Discovery: A Comparison.

Tinne Tuytelaars, Christoph H. Lampert, Matthew B. Blaschko, Wray L. Buntine

Int. J. Comput. Vis., 2010

Topic models for semantics-preserving video compression.

Jörn Wanke, Adrian Ulges, Christoph H. Lampert, Thomas M. Breuel

Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, 2010

Movement templates for learning of hitting and batting.

Jens Kober, Katharina Mülling, Oliver Kroemer, Christoph H. Lampert, Bernhard Schölkopf, Jan Peters

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

On Parameter Learning in CRF-Based Approaches to Object Class Image Segmentation.

Sebastian Nowozin, Peter V. Gehler, Christoph H. Lampert

Proceedings of the Computer Vision - ECCV 2010, 2010

Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer Learning.

Christoph H. Lampert, Oliver Krömer

Proceedings of the Computer Vision, 2010

Optimizing one-shot recognition with micro-set learning.

Kevin D. Tang, Marshall F. Tappen, Rahul Sukthankar, Christoph H. Lampert

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

An efficient divide-and-conquer cascade for nonlinear object detection.

Christoph H. Lampert

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Efficient Subwindow Search: A Branch and Bound Framework for Object Localization.

Christoph H. Lampert, Matthew B. Blaschko, Thomas Hofmann

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Structured prediction by joint kernel support estimation.

Christoph H. Lampert, Matthew B. Blaschko

Mach. Learn., 2009

Kernel Methods in Computer Vision.

Christoph H. Lampert

Found. Trends Comput. Graph. Vis., 2009

Detecting objects in large image collections and videos by efficient subimage retrieval.

Christoph H. Lampert

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Active Structured Learning for High-Speed Object Detection.

Christoph H. Lampert, Jan Peters

Proceedings of the Pattern Recognition, 2009

Global connectivity potentials for random field models.

Sebastian Nowozin, Christoph H. Lampert

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Learning to detect unseen object classes by between-class attribute transfer.

Christoph H. Lampert, Hannes Nickisch, Stefan Harmeling

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Combining appearance and motion for human action classification in videos.

Paramveer S. Dhillon, Sebastian Nowozin, Christoph H. Lampert

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

Object Localization with Global and Local Context Kernels.

Matthew B. Blaschko, Christoph H. Lampert

Proceedings of the British Machine Vision Conference, 2009

2008

Semi-supervised Laplacian Regularization of Kernel Canonical Correlation Analysis.

Matthew B. Blaschko, Christoph H. Lampert, Arthur Gretton

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Bayes Optimal DDoS Mitigation by Adaptive History-Based IP Filtering.

Markus Goldstein, Christoph H. Lampert, Matthias Reif, Armin Stahl, Thomas M. Breuel

Proceedings of the Seventh International Conference on Networking (ICN 2008), 2008

Learning to Localize Objects with Structured Output Regression.

Matthew B. Blaschko, Christoph H. Lampert

Proceedings of the Computer Vision, 2008

A Multiple Kernel Learning Approach to Joint Multi-class Object Detection.

Christoph H. Lampert, Matthew B. Blaschko

Proceedings of the Pattern Recognition, 2008

Beyond sliding windows: Object localization by efficient subwindow search.

Christoph H. Lampert, Matthew B. Blaschko, Thomas Hofmann

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Partitioning of image datasets using discriminative context information.

Christoph H. Lampert

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Correlational spectral clustering.

Matthew B. Blaschko, Christoph H. Lampert

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Optimal Dominant Motion Estimation Using Adaptive Search of Transformation Space.

Adrian Ulges, Christoph H. Lampert, Daniel Keysers, Thomas M. Breuel

Proceedings of the Pattern Recognition, 2007

2006

An Optimal Nonorthogonal Separation of the Anisotropic Gaussian Convolution Filter.

Christoph H. Lampert, Oliver Wirjadi

IEEE Trans. Image Process., 2006

Spatiogram-Based Shot Distances for Video Retrieval.

Adrian Ulges, Christoph Lampert, Daniel Keysers

Proceedings of the 2006 TREC Video Retrieval Evaluation, 2006

Machine Learning for Video Compression: Macroblock Mode Decision.

Christoph H. Lampert

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Anisotropic Gaussian Filtering using Fixed Point Arithmetic.

Christoph H. Lampert, Oliver Wirjadi

Proceedings of the International Conference on Image Processing, 2006

Color image dequantization by constrained diffusion.

Daniel Keysers, Christoph H. Lampert, Thomas M. Breuel

Proceedings of the Color Imaging XI: Processing, Hardcopy, and Applications, San Jose, 2006

Satellite Tracks Removal in Astronomical Images.

Haider Ali, Christoph H. Lampert, Thomas M. Breuel

Proceedings of the Progress in Pattern Recognition, 2006

2005

Document Image Dewarping using Robust Estimation of Curled Text Lines.

Adrian Ulges, Christoph H. Lampert, Thomas M. Breuel

Proceedings of the Eighth International Conference on Document Analysis and Recognition (ICDAR 2005), 29 August, 2005

2004

Document capture using stereo vision.

Adrian Ulges, Christoph H. Lampert, Thomas M. Breuel

Proceedings of the 2004 ACM Symposium on Document Engineering, 2004