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2020 – today
- 2024
[i3]Fitim Abdullahu, Helmut Grabner:
Commonly Interesting Images. CoRR abs/2409.16736 (2024)- 2023
- [c49]Yiea-Funk Te, Michèle Wieland, Martin Frey, Helmut Grabner:
Mitigating Discriminatory Biases in Success Prediction Models for Venture Capitals. SDS 2023: 26-33 - 2022
- [c48]Thomas Koller, Helmut Grabner:
Who wants to be a Click-Millionaire? On the Influence of Thumbnails and Captions. ICPR 2022: 629-635 - 2021
- [i2]Linda Helen Boedi, Helmut Grabner:
Learning to Ignore: Fair and Task Independent Representations. CoRR abs/2101.04047 (2021) - 2020
- [c47]Maurice Weber, Cédric Renggli, Helmut Grabner, Ce Zhang:
Observer Dependent Lossy Image Compression. GCPR 2020: 130-144
2010 – 2019
- 2019
- [c46]Berkay Inan, Milos Cernak, Helmut Grabner, Helena Peic Tukuljac, Rodrigo C. G. Pena, Benjamin Ricaud:
Evaluating Audiovisual Source Separation in the Context of Video Conferencing. INTERSPEECH 2019: 4579-4583 - [i1]Maurice Weber, Cédric Renggli, Helmut Grabner, Ce Zhang:
Lossy Image Compression with Recurrent Neural Networks: from Human Perceived Visual Quality to Classification Accuracy. CoRR abs/1910.03472 (2019) - 2015
- [c45]Michael Gygli, Helmut Grabner, Luc Van Gool:
Video summarization by learning submodular mixtures of objectives. CVPR 2015: 3090-3098 - [c44]Andreas Nussberger, Helmut Grabner, Luc Van Gool:
Robust aerial object tracking in images with lens flare. ICRA 2015: 6380-6387 - 2014
- [c43]Michael Gygli, Helmut Grabner, Hayko Riemenschneider, Luc Van Gool:
Creating Summaries from User Videos. ECCV (7) 2014: 505-520 - 2013
- [c42]Michael Gygli, Helmut Grabner, Hayko Riemenschneider, Fabian Nater, Luc Van Gool:
The Interestingness of Images. ICCV 2013: 1633-1640 - [c41]Helmut Grabner, Fabian Nater, Michel Druey, Luc Van Gool:
Visual interestingness in image sequences. ACM Multimedia 2013: 1017-1026 - [e1]Andrea Fossati, Juergen Gall, Helmut Grabner, Xiaofeng Ren, Kurt Konolige:
Consumer Depth Cameras for Computer Vision, Research Topics and Applications. Advances in Computer Vision and Pattern Recognition, Springer 2013, ISBN 978-1-4471-4639-1 [contents] - 2012
- [c40]Andrea Fossati, Helmut Grabner, Luc Van Gool:
Exploiting Physical Inconsistencies for 3D Scene Understanding. 3DIMPVT 2012: 136-143 - [c39]Severin Stalder, Helmut Grabner, Luc Van Gool:
Dynamic Objectness for Adaptive Tracking. ACCV (3) 2012: 43-56 - [p2]Fabian Nater, Joris Vangeneugden, Helmut Grabner, Luc Van Gool, Rufin Vogels:
Discrimination of Locomotion Direction at Different Speeds: A Comparison between Macaque Monkeys and Algorithms. Detection and Identification of Rare Audiovisual Cues 2012: 181-190 - 2011
- [j1]Athanasios Voulodimos, Dimitrios I. Kosmopoulos
, Galina V. Veres, Helmut Grabner, Luc Van Gool, Theodora A. Varvarigou:
Online classification of visual tasks for industrial workflow monitoring. Neural Networks 24(8): 852-860 (2011) - [c38]Roland Mörzinger, Marcus Thaler, Severin Stalder, Helmut Grabner, Luc Van Gool:
Improved person detection in industrial environments using multiple self-calibrated cameras. AVSS 2011: 486-491 - [c37]Fabian Nater, Helmut Grabner, Luc Van Gool:
Temporal Relations in Videos for Unsupervised Activity Analysis. BMVC 2011: 1-11 - [c36]Michael Villamizar, Helmut Grabner, Francesc Moreno-Noguer, Juan Andrade-Cetto, Luc Van Gool, Alberto Sanfeliu:
Efficient 3D Object Detection using Multiple Pose-Specific Classifiers. BMVC 2011: 1-10 - [c35]Helmut Grabner, Juergen Gall, Luc Van Gool:
What makes a chair a chair? CVPR 2011: 1529-1536 - [c34]Fabian Nater, Tatiana Tommasi, Helmut Grabner, Luc Van Gool, Barbara Caputo:
Transferring activities: Updating human behavior analysis. ICCV Workshops 2011: 1737-1744 - [c33]Fabian Nater, Helmut Grabner, Luc Van Gool:
Unsupervised workflow discovery in industrial environments. ICCV Workshops 2011: 1912-1919 - 2010
- [c32]Constantinos Lalos, Helmut Grabner, Luc Van Gool, Theodora A. Varvarigou:
Object Flow: Learning Object Displacement. ACCV Workshops (1) 2010: 133-142 - [c31]Galina V. Veres, Helmut Grabner, Lee Middleton, Luc Van Gool:
Automatic Workflow Monitoring in Industrial Environments. ACCV (1) 2010: 200-213 - [c30]Helmut Grabner, Jiri Matas, Luc Van Gool, Philippe C. Cattin:
Tracking the invisible: Learning where the object might be. CVPR 2010: 1285-1292 - [c29]Fabian Nater, Helmut Grabner, Luc Van Gool:
Exploiting simple hierarchies for unsupervised human behavior analysis. CVPR 2010: 2014-2021 - [c28]Severin Stalder, Helmut Grabner, Luc Van Gool:
Cascaded Confidence Filtering for Improved Tracking-by-Detection. ECCV (1) 2010: 369-382 - [c27]Athanasios Voulodimos, Helmut Grabner, Dimitrios I. Kosmopoulos, Luc Van Gool, Theodora A. Varvarigou:
Robust Workflow Recognition Using Holistic Features and Outlier-Tolerant Fused Hidden Markov Models. ICANN (1) 2010: 551-560 - [c26]Roland Mörzinger, Manolis Sardis, Igor Rosenberg, Helmut Grabner, Galina V. Veres, Imed Bouchrika, Marcus Thaler, René Schuster, Albert Hofmann, Georg Thallinger, Vasileios Anagnostopoulos, Dimitrios I. Kosmopoulos, Athanasios Voulodimos, Constantinos Lalos, Nikolaos D. Doulamis, Theodora A. Varvarigou, Rolando Palma Zelada, Ignacio Jubert Soler, Severin Stalder, Luc Van Gool, Lee Middleton, Zoheir A. Sabeur, Banafshe Arbab-Zavar, John N. Carter, Mark S. Nixon:
Tools for semi-automatic monitoring of industrial workflows. ARTEMIS@ACM Multimedia 2010: 81-86 - [c25]René Schuster, Roland Mörzinger, Werner Haas, Helmut Grabner, Luc Van Gool:
Real-time detection of unusual regions in image streams. ACM Multimedia 2010: 1307-1310
2000 – 2009
- 2009
- [c24]Andreas Ess, Tobias Mueller, Helmut Grabner, Luc Van Gool:
Segmentation-Based Urban Traffic Scene Understanding. BMVC 2009: 1-11 - [c23]Luc Van Gool, Michael D. Breitenstein, Stephan Gammeter, Helmut Grabner, Till Quack:
Mining from large image sets. CIVR 2009 - [c22]Peter M. Roth, Sabine Sternig, Helmut Grabner, Horst Bischof:
Classifier grids for robust adaptive object detection. CVPR 2009: 2727-2734 - [c21]Fabian Nater, Helmut Grabner, Tobias Jaeggli, Luc Van Gool:
Tracker trees for unusual event detection. ICCV Workshops 2009: 1113-1120 - [c20]Michael D. Breitenstein, Helmut Grabner, Luc Van Gool:
Hunting Nessie - Real-time abnormality detection from webcams. ICCV Workshops 2009: 1243-1250 - [c19]Severin Stalder, Helmut Grabner, Luc Van Gool:
Beyond semi-supervised tracking: Tracking should be as simple as detection, but not simpler than recognition. ICCV Workshops 2009: 1409-1416 - [p1]Peter M. Roth, Christian Leistner, Helmut Grabner, Horst Bischof:
Online Learning of Person Detectors by Co-Training from Multiple Cameras. Multi-Camera Networks 2009: 313-334 - 2008
- [c18]Christian Leistner, Helmut Grabner, Horst Bischof:
Semi-supervised boosting using visual similarity learning. CVPR 2008 - [c17]Gerhard Schall, Helmut Grabner, Michael Grabner, Paul Wohlhart, Dieter Schmalstieg, Horst Bischof:
3D tracking in unknown environments using on-line keypoint learning for mobile augmented reality. CVPR Workshops 2008: 1-8 - [c16]Helmut Grabner, Christian Leistner, Horst Bischof:
Semi-supervised On-Line Boosting for Robust Tracking. ECCV (1) 2008: 234-247 - [c15]Amir Saffari, Helmut Grabner, Horst Bischof:
SERBoost: Semi-supervised Boosting with Expectation Regularization. ECCV (3) 2008: 588-601 - [c14]Christian Leistner, Peter M. Roth, Helmut Grabner, Horst Bischof, Andreas Starzacher, Bernhard Rinner:
Visual on-line learning in distributed camera networks. ICDSC 2008: 1-10 - [c13]Helmut Grabner, Jan Sochman, Horst Bischof, Jiri Matas:
Training sequential on-line boosting classifier for visual tracking. ICPR 2008: 1-4 - [c12]Helmut Grabner, Christian Leistner, Horst Bischof:
Time Dependent On-line Boosting for Robust Background Modeling. VISAPP (1) 2008: 612-618 - 2007
- [c11]Michael Grabner, Helmut Grabner, Joachim Pehserl, Petra Korica-Pehserl, Horst Bischof:
Flea, Do You Remember Me? ACCV (1) 2007: 657-666 - [c10]Michael Grabner, Helmut Grabner, Horst Bischof:
Learning Features for Tracking. CVPR 2007 - [c9]Helmut Grabner, Peter M. Roth, Horst Bischof:
Eigenboosting: Combining Discriminative and Generative Information. CVPR 2007 - [c8]Franz Leberl, Horst Bischof, Helmut Grabner, Stefan Kluckner:
Recognizing cars in aerial imagery to improve orthophotos. GIS 2007: 2 - [c7]Stefan Kluckner, Georg Pacher, Helmut Grabner, Horst Bischof, Joachim Bauer:
A 3D Teacher for Car Detection in Aerial Images. ICCV 2007: 1-8 - [c6]Thuy Thi Nguyen, Helmut Grabner, Horst Bischof, B. Gruber:
On-line Boosting for Car Detection from Aerial Images. RIVF 2007: 87-95 - 2006
- [c5]Michael Grabner, Helmut Grabner, Horst Bischof:
Fast Approximated SIFT. ACCV (1) 2006: 918-927 - [c4]Helmut Grabner, Michael Grabner, Horst Bischof:
Real-Time Tracking via On-line Boosting. BMVC 2006: 47-56 - [c3]Helmut Grabner, Horst Bischof:
On-line Boosting and Vision. CVPR (1) 2006: 260-267 - [c2]Marián Képesi, Michael Neffe, Tuan Van Pham, Michael Grabner, Helmut Grabner, Andreas Juffinger:
Audio-Visual Feature Extraction for Semi-Automatic Annotation of Meetings. MMSP 2006: 207-211 - 2005
- [c1]Peter M. Roth, Helmut Grabner, Danijel Skocaj, Horst Bischof, Ales Leonardis:
Conservative Visual Learning for Object Detection with Minimal Hand Labeling Effort. DAGM-Symposium 2005: 293-300
Coauthor Index
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last updated on 2024-10-18 20:25 CEST by the dblp team
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