| Affordance Detection |
 
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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
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| Context in
Object Detection and Tracking |
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Dynamic Objectness for Adaptive Tracking
S. Stalder, H. Grabner, and L. Van Gool
In Proceedings
Asian Conference on Computer Vision (ACCV), 2012, Poster
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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
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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
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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
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| Exploiting Temporal Structure in Image Sequences |
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Temporal Relations in Videos for Unsupervised Activity Analysis
F. Nater, H. Grabner, and L. Van Gool
In Proceedings British
Machine
Vision Conference (BMVC), 2011
Videos:
Supplementary
Material
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Unsupervised Workow Discovery in Industrial Environments
F. Nater, H. Grabner, and L. Van Gool
InProceedings ICCV’11 WS on Visual
Surveillance, 2011
Videos:
coming soon
Related Work:
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
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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
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| Boosting
based Trackers |
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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
 Binaries/Code/Evaluations:
see project web-page
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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
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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
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| Event Detection / Abnormal
Behavior Analysis |
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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
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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
Realted
work:
Transferring activities:
Updating human behavior analysis
F. Nater, T. Tommasi, H. Grabner, L. Van Gool, and B. Caputo.
In Proceeding ICCV'11 WS on Visual
Surveillance, 2011 |
 
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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
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| Object Detection |
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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
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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
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| Scene Understanding |
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Segmentation-Based
Urban Traffic Scene Understanding
A. Ess,
T. Müller, H. Grabner, and L. Van Gool
In Proceedings British
Machine
Vision Conference (BMVC), 2009
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| On-line
Learning |
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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
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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
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click
here for all publications
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Teaching and
Talks
Teaching
Recent
Invited Talks
- Sommerschule TUM/DLR (Technische Universitaet Muenchen and Deutsches Zentrum fuer Luft- und Raumfahrt) Ftan, CH, Robust Tracking using Visual Constrains and Context, July, 2011, Slides.
- Seminar at Center for Processing Speech and
Images, Katholic Univeristy of Leuven, BL, Context in Tracking,
September 2010.
- Seminar at Information: Signals, Images, Systems
Research Group (ISIS), Univ. of Southampton, UK. Learning for Tracking
and
Lessons Learned from it. August 2009, Slides
- Presentation at Visual Recognition and Geometric
Reconstruction Symposium, Vienna, A. Simplifying
Object Detection: Classifier Grids for Learning Robust Adaptive Object
Detectors. April
2009, Slides
- Seminar at
Robotics Research Group, Univ. of Oxford, UK, Learning
for Tracking and Lessons Learned
from it. March 2009, Slides
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