Helmut Grabner

http://www.vision.ee.ethz.ch/~hegrabne/

Affordance Detection
	What Makes a Chair a Chair? H. Grabner, J. Gall, and L. Van Gool In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011, Poster Supplementary Material: Full full resolution ranking lists (Fig. 7), our approach,appearance Chair-Dataset
Context in Object Detection and Tracking
	Tracking the Invisible: Learning Where the Object Might be H. Grabner, J. Matas, L. Van Gool, and P. Cattin In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010, Talk,Video Lecture Videos: Supplementary Material ETH-Cup Data, ETH-Cup Videos More Videos
	Cascaded Confidence Filtering for Improved Tracking-by-Detection S. Stalder, H. Grabner, and L. Van Gool In Proceedings European Conference on Computer Vision (ECCV), 2010,Poster Videos: Supplementary Material
	Exploring Context to Learn Scene Specific Object Detectors S. Stalder, H. Grabner, and L. van Gool In Proceedings CVPR09 Workshop on Performance Evaluation of Tracking and Surveillance (PETS), 2009 Realted (previous) work: Classifier Grids for Robust Adaptive Object Detection S. Sternig, P. Roth, H. Grabner, and H. Bischof In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009
Exploiting Temporal Structure in Image Sequences
	Temporal Relations in Videos for Unsupervised Activity Analysis  F. Nater, H. Grabner, and L. Van Gool In Proceedings British Machine Vision Conference (BMVC), 2011, to appear
	Keep Breathing! Common Motion Helps Multi-modal Mapping  V. De Luca, H. Grabner, L. Petrusca, R. Salomi, G. Szekely, and C. Tanner In Proceedings International Conference on Medical Computing and Computer Assisted Intervention (MICCAI), 2011
Boosting based Trackers
	Beyond Semi-Supervised Tracking: Tracking Should Be as Simple as Detection, but not Simpler than Recognition S. Stalder, H. Grabner, and L. Van Gool In Proceedings ICCV’09 WS on On-line Learning for Computer Vision, 2009 Videos: Supplementary Material Long Term Tracking (~24h)  Binaries/Code/Evaluations: see project web-page
	Semi-supervised On-line Boosting for Robust Tracking H. Grabner, C. Leistner, and H. Bischof In Proceedings European Conference on Computer Vision (ECCV), 2008,Poster Videos: Supplementary Material Long Term Tracking (~1h)
	Real-time Tracking via On-line Boosting H. Grabner, M. Grabner, and H. Bischof.   In Proceedings British Machine Vision Conference (BMVC), volume 1, pages 47-56, 2006, Talk Video: "Tracking Shrek and others"  M. Grabner, H. Grabner, and H. Bischof In Video Proceedings in conjunction with IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2006
Event Detection / Abnormal Behavior Analysis
	Exploiting Simple Hierarchies for Unsupervised Human Behavior Analysis F. Nater, H. Grabner, and L. Van Gool In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010 Videos: Supplementary Material (more see project web-page) Related Work:  Discrimination of locomotion direction at different speeds: A comparison between macaque monkeys and algorithms F. Nater, J. Vangeneugden, H. Grabner, L. Van Gool, and R. Vogels In Proceedings ECML/PKDD Workshop on Detection and Identiffcation of Rare Audiovisual Cues, 2010
	Tracker Trees for Unusual Event Detection F. Nater, H. Grabner, T. Jaeggli, and L. Van Gool In Proceedings ICCV’09 WS on Visual Surveillance, 2009 Videos: see project web-page
Video: "Whats happing on Time Square?" Video: "Real-time Detection of Unusal Regions"	Hunting Nessie: Real Time Abnormality Detection from Webcams M. Breitenstein, H. Grabner, and L. Van Gool In Proceedings ICCV’09 WS on Visual Surveillance, 2009 Realted work: Mining from Large Image Sets L. Van Gool, M. Breitenstein, S. Gammeter, H. Grabner, and T. Quack ACM Int. Conference on Image and Video Retrieval (CIVR) (Invited Paper), 2009 Real-time Detection of Unusual Regions in Image Streams R. Schuster, R. Mörzinger, W. Haas, H. Grabner, and L. Van Gool In Proceedings ACM Int. Conference on Multimedia - Video Program, 2010
Object Detection
	Efficient 3D Object Detection using Multiple Pose-Specific Classifiers M. Villamizar, H. Grabner, F. Moreno-Noguer, J. Andrade-Cetto, L. Van Gool, and A. Sanfeliu In Proceedings British Machine Vision Conference (BMVC), 2011, to appear
Video: On-line Improving an Object Detector	On-line boosting-based car detection from arial images H. Grabner, T.T. Nguyen, B. Gruber, and H. Bischof. ISPRS Journal of  Photogrammetry & Remote Sensing, 63(3):382-396, 2008 Best Paper Award
Workflow Analysis
	Automatic Workflow Monitoring in Industrial Environments G. Veres, H. Grabner, L. Middleton, and L. Van Gool  In Proceedings Asian Conference on Computer Vision (ACCV), 2010
Scene Understanding
	Segmentation-Based Urban Traffic Scene Understanding A. Ess, T. Müller, H. Grabner, and L. Van Gool In Proceedings British Machine Vision Conference (BMVC), 2009 Video: "A ride thru Zurich"
On-line Learning
	Training Sequential On-line Boosing Classifier for Visual Tracking H. Grabner, J. Sochman, H. Bischof, and J. Matas In Proceedings International Conference on Pattern Recognition (ICPR), 2008, Talk
	On-line Boosting and Vision H. Grabner, and H. Bischof In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR), volume 1, pages 260-267, 2006, Poster My Phd-Thesis Videos: Background Model Detection and Tracking Detection, Tracking and Recognition