Journals
- A. Voulodimos, D. Kosmopoulos, G. Veres, H. Grabner, L. Van Gool, T. Varvarigou, Online classification of visual tasks for industrial workflow monitoring, Neural Networks, 2011
- H. Grabner, T.T. Nguyen, B. Gruber, H. Bischof. On-line Boosting-based Car Detection from Arial Images. ISPRS Journal of
Photogrammetry &
Remote Sensing, 63(3):382-396, 2007, Best
Paper
Award
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Major
Conferences
- M. Gygli, H. Grabner, and L. Van Gool. Video Summarization by Learning Submodular Mixtures of Objectives. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
- A. Nussberger, H. Grabner, and L. Van Gool. Robust Aerial Object Tracking in Images
with Lens Flares. In Proceedings of International Conference on Robotics and Automation (ICRA), 2015.
- M. Gygli, H. Grabner, H. Riemenschneider, and L. Van Gool. Creating Summaries from User Videos. In Proceedings of European Conference on Computer Vision (ECCV), 2014.
- M. Gygli, H. Grabner, H. Riemenschneider, F. Nater, and L. Van Gool. The Interestingness of Images. In Proceedings of International Conference on Computer Vision (ICCV), 2013.
- H. Grabner, F. Nater, M. Druey, and L. Van Gool. Visual interestingness in image sequences. In Proceedings of ACM International Conference on Multimedia, 2013.
- V. De Luca, H. Grabner, L. Petrusca, R. Salomi, G. Szekely, and C. Tanner Keep Breathing! Common Motion Helps Multi-modal Mapping, In Proceedings International Conference on Medical Computing and Computer Assisted Intervention (MICCAI), 2011
- H. Grabner, J. Gall, and L. van Gool, What Makes a Chair a Chair?, In Proceedings IEEE Conference on Computer
Vision and Pattern Recognition (CVPR), 2011
- S. Stalder, H. Grabner, and L. Van Gool, Cascaded
Confidence Filtering for Improved Tracking-by-Detection, In
Proceedings European Conference on
Computer Vision (ECCV), 2010.
- H. Grabner, J. Matas, L. Van Gool, and P. Cattin. Tracking
the Invisible: Learning where the Object Might be. In Proceedings IEEE Conference on Computer
Vision and Pattern Recognition (CVPR), 2010
- F.
Nater, H. Grabner, and
L.
Van Gool.
Exploiting
Simple Hierarchies for
Unsupervised Human Behavior Analysis. In Proceedings IEEE Conference on Computer
Vision and Pattern Recognition (CVPR), 2010
- P. Roth, S. Sternig, H. Grabner, and H. Bischof. Classifier Grids for Robust Adaptive Object Detection. In Proceedings IEEE Conference on
Computer
Vision and Pattern Recognition (CVPR), 2009.
- H. Grabner, C. Leistner, and H. Bischof.
Semi-supervised On-line Boosting for Robust Tracking. In Proceedings
European Conference on
Computer
Vision (ECCV), 2008
- A. Saffari, H. Grabner, and H. Bischof. SERBoost: Boosting
with Expectation Regularization. In
Proceedings European Conference on
Computer Vision (ECCV), 2008
- C. Leistner, H. Grabner, and H. Bischof. Semi-supervised Boosting
using Visual Similarity Learning. In Proceedings IEEE Conference on
Computer Vision
and Pattern Recognition (CVPR), 2008
- M. Grabner, H. Grabner, and H. Bischof. Learning Features
for Tracking. In Proceedings
IEEE
Conference on Computer Vision and Pattern
Recognition (CVPR), 2007
- H. Grabner, P.M. Roth, and H. Bischof. Eigenboosting:
Combining Discriminative and Generative Information. In Proceedings IEEE
Conference on Computer Vision and Pattern Recognition (CVPR),
2007
- H. Grabner and H. Bischof. On-line Boosting and Vision. In Proceedings
IEEE
Conference
on Computer Vision and Pattern Recognition
(CVPR), volume 1, pages 260-267, 2006
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Other Reviewed
Conferences and
Workshops
-
A. Nussberger, H. Grabner, and L. Van Gool. Aerial Object Tracking from an Airborne Platform. In Proceedings International Conference on Unmanned Aircraft Systems (ICUAS), 2014
-
A. Fossati, H. Grabner, and L. Van Gool. Exploiting physical inconsistencies for 3d scene understanding. In Proceedings Conference on 3D Imaging, Modeling, Processing, Visualization, Transmission (3DimPVT), 2012.
- S. Stalder, H. Grabner, and L. Van Gool. Dynamic objectness for adaptive tracking . In Proceedings Asian Conference on Computer Vision (ACCV) , 2012.
- F. Nater, H. Grabner, and L. Van Gool. Unsupervised workflow discovery in industrial Environments. In Proceeding IEEE Workshop on Visual Surveillance, 2011.
- F. Nater, T. Tommasi, H. Grabner, L. Van Gool, and B. Caputo. Transferring activities:
Updating human behavior analysis. In Proceeding IEEE Workshop on Visual
Surveillance, 2011.
- F. Nater, H. Grabner, and L. Van Gool, Temporal Relations in Videos for Unsupervised Activity Analysis, In Proceedings British Machine
Vision Conference (BMVC), 2011
- M. Villamizar, H. Grabner, F. Moreno-Noguer, J. Andrade-Cetto, L. Van Gool, and A. Sanfeliu, Efficient 3D Object Detection using Multiple Pose-Specific Classifiers, In Proceedings British Machine
Vision Conference (BMVC), 2011
- R. M\F6rzinger, M. Thaler, S. Stalder, H. Grabner, and L. Van Gool. Improved Person Detection in Industrial Environments using Multiple Self-Calibrated Cameras. In Proceeding Workshop on Activity Monitoring by Multi-camera Surveillance Systems, 2011.
- C. Lalos, H. Grabner, L. Van Gool, and T. Varvarigou. Object Fow: Learning object displacement. In Proceeding IEEE Workshop on Visual Surveillance, 2010.
- G.
Veres, H. Grabner, L. Middleton, and L. Van Gool. Automatic
Workflow Monitoring in Industrial Environments. In Proceedings
Asian Conference on Computer Vision (ACCV), 2010
- F.
Nater, J. Vangeneugden, H. Grabner, L. Van Gool,
and R. Vogels. Discrimination
of Locomotion Direction at Different Speeds: A Comparison between Macaque Monkeys and Algorithms. In Proceedings ECML/PKDD Workshop
on Detection and Identiffcation of Rare Audiovisual Cues,
2010
- R.
Schuster, R. M\F6rzinger, W. Haas, H.
Grabner, and L. Van Gool. Real-time Detection of Unusual Regions in Image Streams. In Proceedings ACM International
Conference on Multimedia - Video Program, 2010
- A.
Voulodimos, H. Grabner, D. Kosmopoulos, L. Van
Gool, and T. Varvarigou. Robust Workfow Recognition using Holistic Features and Outlier-tolerant Fused Hidden Markov Models. In Proceedings
International Conference on Artificial Neural Networks,
2010
- F.
Nater, H. Grabner, and L. Van Gool. Visual Abnormal Event Detection for Prologed Independent Living. In Proceedings IEEE Healthcom
Workshop on mHealth, 2010
- F.
Nater, H. Grabner, T. Jaeggli, and L. Van Gool. Tracker Trees: Hierarchies to Spot Rare Events. In Proceedings International
Conference on Cognitive Systems, 2010
- S.
Stalder, H. Grabner, and L. Van Gool. Beyond
Semi-Supervised Tracking: Tracking Should Be as Simple as Detection,
but not Simpler than Recognition. In Proceedings IEEE Workshop on On-line Learning for Computer
Vision, 2009
- M.
Breitenstein, H. Grabner, and L. Van Gool. Hunting
nessie: Real Time Abnormality Detection from Webcams. In Proceeding IEEE Workshop on
Visual Surveillance, 2009
- F.
Nater, H. Grabner, T. Jaeggli, and L. Van Gool. Tracker Trees
for Unusual Event Detection. In Proceeding IEEE Workshop on
Visual Surveillance, 2009
- A.
Ess, T. Mueller, H. Grabner, and L. Van Gool. Segmentation-based Uraban Scene Understanding. In Proceedings British Machine
Vision Conference (BMVC), 2009
- S.
Stalder, H. Grabner, and L. van Gool. Exploring Context to Learn Scene Specific Object Detectors. In Proceedings IEEE International
Workshop on
Performance
Evaluation of
Tracking and Surveillance, 2009
- M.
Godec, H. Grabner, C. Leistner, and H. Bischof. Speeding Up Semi-Supervised On-line Boosting for Tracking. In Proceedings
Workshop of the Austrian Association for Pattern Recognition,
2009
- S.
Sternig, P. Roth, H. Grabner, and H. Bischof. Robust Adaptive Classifier Grids for Object Detection from Static Cameras. In
Proceedings
Computer Vision
Winter Workshop, 2009
- H.
Grabner, J. Sochman, H. Bischof, and J. Matas. Training Sequential On-line Boosting Classifier for Visual Tracking. In Proceedings
International
Conference on Pattern Recognition (ICPR), 2008
- C.
Leistner, P. Roth, H. Grabner, H. Bischof, A.
Stratzer,
and B.
Rinner. Visual On-line Learning in Distributed Camera Networks. In Proceedings
International Conference on Distributed Smart Cameras,
2008
- G.
Schall, H. Grabner, M. Grabner, P. Wohlhart, D.
Schmalstieg, and H. Bischof. 3D Tracking in Unknown Environments using On-line Keypoint Learning for Mobile Augmented Reality. In Proceedings Workshop on
Visual
Localization for Mobile Platforms, 2008
- P.
Roth, H. Grabner, C. Leistner, M. Winter, and H.
Bischof. Interatctive Learning a Person Detector: Fewer Clicks - Less Frustration.
In Proceedings
Workshop of the Austrian Association for Pattern Recognition,
2008
- F.
Leberl, S. Kluckner, G. Pacher, H. Grabner, H.
Bischof,
and M. Gruber. Recognizing Cars in Arial Imagery to Improve Orthophotos and Digital Elevation Models. In Proceedings American Society for
Photogrammetry and Remote Sensing, 2008
- H.
Grabner, C. Leistner, and H. Bischof. Time Dependent On-line Boosting for Robust Backgroundmodeling. In Proceedings International
Conference
on Computer Vision Theory and Applications, 2007
- H.
Grabner, P.M. Roth, and H. Bischof. Is Pedestrian Detection Realy a Hard Task? In Proceedings
IEEE International Workshop on
Performance
Evaluation of Tracking and Surveillance, 2007
- S.
Kluckner, G. Pacher, H. Grabner, H. Bischof, and
J.
Bauer. A 3D Teacher for Car Detection in Aerial Images. In Proceedings Workshop on 3D
Representation for Recognition, 2007
- M.
Grabner, H. Grabner, J. Pehserl, P.
Korica-Pehserl, and H.
Bischof. Flea, do you
remember me? In Proceedings
Asian Conference on Computer Vision (ACCV), pages 657-666,
2007
- T.T.
Nguyen, H. Grabner, B. Gruber, and H. Bischof. On-line Boosting for Car Detection from Aerial Images. In Proceedings IEEE International
Conference on Research, Innovation and Vision for the Future,
2007
- H.
Grabner, M. Grabner, and H. Bischof. Real-time Tracking
via On-line Boosting. In Proceedings British Machine Vision
Conference
(BMVC), volume 1, pages 47-56, 2006
- M.
Grabner, H. Grabner, and H. Bischof. Real-time Tracking
with On-line Feature Selection. In Video
Proceedings in conjunction with
IEEE
Conference on Computer Vision and Pattern Recognition,
2006
- H.
Grabner, P.M. Roth, M. Grabner, and H. Bischof. Autonomous Learning a Robust Background Model for Change Detection. In Proceedings IEEE
International Workshop on Performance Evaluation of Tracking and
Surveillance, pages 39-46, 2006
- M.
Grabner, H. Grabner, and H. Bischof. Fast Approximated
SIFT. In Proceedings
Asian
Conference on Computer Vision (ACCV), pages 918-927, 2006.
- M.
Kpesi, M. Neffe, T. Van Pham, M. Grabner, H.
Grabner,
and A. Junger. Audio-Visual Feature Extraction for Semi-automatic Annotation of Meetings. In Proceedings
IEEE
International Workshop on Multimedia Signal Processing,
2006
- P.M.
Roth, H. Grabner, D. Skocaj, H. Bischof, and A.
Leonardis. On-line Conservative Learning for Person Detection. In Proceeding IEEE Workshop
on Visual Surveillance and Performance Evaluation of Tracking and
Surveillance, 2005
- P.M.
Roth, H. Grabner, D. Skocaj, H. Bischof, and A.
Leonardis. Conservative Visual Learning for Object Detection with Minimal Hand Labeling Effort.
In Proceedings German
Association for
Pattern Recognition (DAGM), pages 293-300, 2005
- H.
Grabner, C. Beleznai, and H. Bischof. Improving Adaboost Detection Rate by Wobble and Mean Shift. In Proceedings Computer Vision
Winter
Workshop, pages 23-32, 2005
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Books/Editor
- A. Fossati, J. Gall, H. Grabner, and M. Hansard. Editors. In 3rd IEEE Workshop on Consumer Depth Cameras for Computer Vision in conjunction with ICCV'13, 2013.
- G. Fernandez, H. Grabner, F. Porikli, and S. Velastin. Editors. In ICPR Contest on People Tracking in Wide Baseline Camera Networks, 2012.
- A. Fossati, J. Gall, H. Grabner, X. Ren, and K. Konolige. Editors. Consumer Depth Cameras for Computer Vision - Research Topics and Applications . Advances in Computer
Vision and Pattern Recognition, Springer., 2012.
- A. Fossati, J. Gall, H. Grabner, X. Ren, K. Konolige, S. Lee, and M. Hansard. Editors. In 2nd Workshop on Consumer Depth Cameras for Computer Vision in conjunction with ECCV'12, 2012.
- A. Fossati, J. Gall, H. Grabner, X. Ren, and K. Konolige. Editors. In 1st IEEE Workshop on Consumer Depth Cameras for Computer Vision in conjunction with ICCV'11,
2011
- F. Porikli, B. Schiele, and H. Grabner. Editors. In 4th IEEE Workshop on Online
Learning for Computer Vision in conjunction with CVPR'10,
2010.
- F. Porikli, H. Bischof, and H. Grabner. Editors. In 3rd IEEE Workshop on Online
Learning for Computer Vision in conjunction with ICCV'09, 2009
- P. Roth, C. Leistner, H. Grabner, and H. Bischof. Multi-Camera Networks,
Chapter:
On-line Learning a Person Detector by Co-Training from Multiple
Cameras. Elsevier Science Inc., 2009
- M. Grabner, and H. Grabner. Editors. Computer Vision
Winter Workshop, 2007
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Patents
- J. Birchbauer, H. Bischof, B.
Fr\FChst\FCck, H.
Grabner, T. Nguyen, P. Roth, and M. Winter. Method for the Computer-assisted Recognition of a Specific Object from a Data Volume Based on an Interaction with a User, 2010
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Technical
Reports
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Invited Papers
- L. Van Gool, M. Breitenstein, S. Gammeter, H.
Grabner, and
T. Quack, Mining
from Large Image Sets. In Proceedings ACM International
Conference
on Image and Video Retrieval, 2009. Keynote talk
- F. Leberl,
H. Bischof, H. Grabner, and S. Kluckner. Recognizing Cars in Aerial Imagery to Improve Orthophotos. In Proceedings ACM International
Symposium on
Advances in Geographic Information Systems, 2007. Invited
lecture
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Others
- R. M\F6rzinger, M. Thaler, R. Schuster, H.
Albert, G. Thallinger, M. Sardis, V. Anagnostopoulos, D. Kosmopoulos,
A. Voulodimos, C. Lalos, N. Doulamis, T. Varvarigou, I. Rosenberg, R.
Zelada, I. Jubert, H. Grabner, S. Stalder, L. Van Gool, G. Veres, L.
Middleton, Z. Sabeur, I. Bouchrika, B. Arbab-Zavar, J. Carter, and M.
Nixon. Tools
for Semi-automatic Monitoring of Industrial Workfows. In Proceedings ACM International
Workshop on
Analysis and Retrieval of Tracked Events and Motion in Imagery Streams,
2010
- H. Grabner. On-line
Boosting and
Vision. PhD
thesis, Graz
University of Technology, Faculty of Computer Science, 2008
- H. Grabner and C. Beleznai. History of Computer Vision. OCG
Journal, 3:28-29, 2008
- H. Schwabach, M. Harrer, A.Waltl, H. Bischof, A.
Tacke, G.
Zoffmann,
C. Beleznai, B. Strobl, H. Grabner, and G. Fernndez. Vitus: Video Based Image Analysis for tunnel Safety. In International
Conference on Tunnel Safety and
Ventilation, 2006
- H. Grabner. Autodetektion
mit AdaBoost. Master's
thesis,
German only, Graz
University of Technology, 2004
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