Christoph H. Lampert

Matthew B. Blaschko, Christoph H. Lampert: Guest Editorial: Special Issue on Structured Prediction and Inference. International Journal of Computer Vision 99(3): 257-258 (2012)

Christoph H. Lampert, Jan Peters: Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components. J. Real-Time Image Processing 7(1): 31-41 (2012)

Tatiana Tommasi, Novi Quadrianto, Barbara Caputo, Christoph H. Lampert: Beyond Dataset Bias: Multi-task Unaligned Shared Knowledge Transfer. ACCV (1) 2012: 1-15

Andreas C. Müller, Sebastian Nowozin, Christoph H. Lampert: Information Theoretic Clustering Using Minimum Spanning Trees. DAGM/OAGM Symposium 2012: 205-215

Viktoriia Sharmanska, Novi Quadrianto, Christoph H. Lampert: Augmented Attribute Representations. ECCV (5) 2012: 242-255

Novi Quadrianto, Chao Chen, Christoph H. Lampert: The Most Persistent Soft-Clique in a Set of Sampled Graphs. ICML 2012

Christoph H. Lampert: Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction. NIPS 2012: 82-90

Novi Quadrianto, Chao Chen, Christoph H. Lampert: The Most Persistent Soft-Clique in a Set of Sampled Graphs. CoRR abs/1206.4652 (2012)

Sebastian Nowozin, Christoph H. Lampert: Structured Learning and Prediction in Computer Vision. Foundations and Trends in Computer Graphics and Vision 6(3-4): 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 32(11): 1572-1583 (2011)

Oliver Kroemer, Christoph H. Lampert, Jan Peters: Learning Dynamic Tactile Sensing With Robust Vision-Based Training. IEEE Transactions on Robotics 27(3): 545-557 (2011)

Chao Chen, Daniel Freedman, Christoph H. Lampert: Enforcing topological constraints in random field image segmentation. CVPR 2011: 2089-2096

Novi Quadrianto, Christoph H. Lampert: Learning Multi-View Neighborhood Preserving Projections. ICML 2011: 425-432

Zhikun Wang, Christoph H. Lampert, Katharina Mülling, Bernhard Schölkopf, Jan Peters: Learning anticipation policies for robot table tennis. IROS 2011: 332-337

Christoph H. Lampert: Maximum Margin Multi-Label Structured Prediction. NIPS 2011: 289-297

Tinne Tuytelaars, Christoph H. Lampert, Matthew B. Blaschko, Wray L. Buntine: Unsupervised Object Discovery: A Comparison. International Journal of Computer Vision 88(2): 284-302 (2010)

Sebastian Nowozin, Christoph H. Lampert: Global Interactions in Random Field Models: A Potential Function Ensuring Connectedness. SIAM J. Imaging Sciences 3(4): 1048-1074 (2010)

Christoph H. Lampert: An efficient divide-and-conquer cascade for nonlinear object detection. CVPR 2010: 1022-1029

Kevin D. Tang, Marshall F. Tappen, Rahul Sukthankar, Christoph H. Lampert: Optimizing one-shot recognition with micro-set learning. CVPR 2010: 3027-3034

Sebastian Nowozin, Peter V. Gehler, Christoph H. Lampert: On Parameter Learning in CRF-Based Approaches to Object Class Image Segmentation. ECCV (6) 2010: 98-111

Christoph H. Lampert, Oliver Krömer: Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer Learning. ECCV (2) 2010: 566-579

Jens Kober, Katharina Mülling, Oliver Kroemer, Christoph H. Lampert, Bernhard Schölkopf, Jan Peters: Movement templates for learning of hitting and batting. ICRA 2010: 853-858

Jörn Wanke, Adrian Ulges, Christoph H. Lampert, Thomas M. Breuel: Topic models for semantics-preserving video compression. Multimedia Information Retrieval 2010: 275-284

Christoph H. Lampert: Kernel Methods in Computer Vision. Foundations and Trends in Computer Graphics and Vision 4(3): 193-285 (2009)

Christoph H. Lampert, Matthew B. Blaschko: Structured prediction by joint kernel support estimation. Machine Learning 77(2-3): 249-269 (2009)

Christoph H. Lampert, Matthew B. Blaschko, Thomas Hofmann: Efficient Subwindow Search: A Branch and Bound Framework for Object Localization. IEEE Trans. Pattern Anal. Mach. Intell. 31(12): 2129-2142 (2009)

Matthew B. Blaschko, Christoph H. Lampert: Object Localization with Global and Local Context Kernels. BMVC 2009: 1-11

Sebastian Nowozin, Christoph H. Lampert: Global connectivity potentials for random field models. CVPR 2009: 818-825

Christoph H. Lampert, Hannes Nickisch, Stefan Harmeling: Learning to detect unseen object classes by between-class attribute transfer. CVPR 2009: 951-958

Christoph H. Lampert, Jan Peters: Active Structured Learning for High-Speed Object Detection. DAGM-Symposium 2009: 221-231

Christoph H. Lampert: Detecting objects in large image collections and videos by efficient subimage retrieval. ICCV 2009: 987-994

Matthew B. Blaschko, Christoph H. Lampert: Correlational spectral clustering. CVPR 2008

Christoph H. Lampert: Partitioning of image datasets using discriminative context information. CVPR 2008

Christoph H. Lampert, Matthew B. Blaschko, Thomas Hofmann: Beyond sliding windows: Object localization by efficient subwindow search. CVPR 2008

Christoph H. Lampert, Matthew B. Blaschko: A Multiple Kernel Learning Approach to Joint Multi-class Object Detection. DAGM-Symposium 2008: 31-40

Matthew B. Blaschko, Christoph H. Lampert: Learning to Localize Objects with Structured Output Regression. ECCV (1) 2008: 2-15

Markus Goldstein, Christoph H. Lampert, Matthias Reif, Armin Stahl, Thomas M. Breuel: Bayes Optimal DDoS Mitigation by Adaptive History-Based IP Filtering. ICN 2008: 174-179

Matthew B. Blaschko, Christoph H. Lampert, Arthur Gretton: Semi-supervised Laplacian Regularization of Kernel Canonical Correlation Analysis. ECML/PKDD (1) 2008: 133-145

Adrian Ulges, Christoph H. Lampert, Daniel Keysers, Thomas M. Breuel: Optimal Dominant Motion Estimation Using Adaptive Search of Transformation Space. DAGM-Symposium 2007: 204-213

Christoph H. Lampert, Oliver Wirjadi: An Optimal Nonorthogonal Separation of the Anisotropic Gaussian Convolution Filter. IEEE Transactions on Image Processing 15(11): 3501-3513 (2006)

Haider Ali, Christoph H. Lampert, Thomas M. Breuel: Satellite Tracks Removal in Astronomical Images. CIARP 2006: 892-901

Christoph H. Lampert, Oliver Wirjadi: Anisotropic Gaussian Filtering using Fixed Point Arithmetic. ICIP 2006: 1565-1568

Christoph H. Lampert: Machine Learning for Video Compression: Macroblock Mode Decision. ICPR (1) 2006: 936-940

Adrian Ulges, Christoph H. Lampert, Thomas M. Breuel: Document Image Dewarping using Robust Estimation of Curled Text Lines. ICDAR 2005: 1001-1005

Adrian Ulges, Christoph H. Lampert, Thomas M. Breuel: Document capture using stereo vision. ACM Symposium on Document Engineering 2004: 198-200