Conservative Visual Learning for Object Detection with Minimal Hand Labeling Effort. - Peter M. Roth; Helmut Grabner; Danijel Skocaj; Horst Bischof; Ales Leonardis (DAGM-Symposium, 2005)

Fast Approximated SIFT. - Michael Grabner; Helmut Grabner; Horst Bischof (ACCV (1), 2006)

Real-Time Tracking via On-line Boosting. - Helmut Grabner; Michael Grabner; Horst Bischof (BMVC, 2006)

On-line Boosting and Vision. - Helmut Grabner; Horst Bischof (CVPR (1), 2006)

Audio-Visual Feature Extraction for Semi-Automatic Annotation of Meetings. - Marián Képesi; Michael Neffe; Tuan Van Pham; Michael Grabner; Helmut Grabner; Andreas Juffinger (MMSP, 2006)

Flea, Do You Remember Me? - Michael Grabner; Helmut Grabner; Joachim Pehserl; Petra Korica-Pehserl; Horst Bischof (ACCV (1), 2007)

Learning Features for Tracking. - Michael Grabner; Helmut Grabner; Horst Bischof (CVPR, 2007)

Eigenboosting: Combining Discriminative and Generative Information. - Helmut Grabner; Peter M. Roth; Horst Bischof (CVPR, 2007)

Recognizing cars in aerial imagery to improve orthophotos. - Franz Leberl; Horst Bischof; Helmut Grabner; Stefan Kluckner (GIS, 2007)

A 3D Teacher for Car Detection in Aerial Images. - Stefan Kluckner; Georg Pacher; Helmut Grabner; Horst Bischof; Joachim Bauer (ICCV, 2007)

On-line Boosting for Car Detection from Aerial Images. - Thuy Thi Nguyen; Helmut Grabner; Horst Bischof; B. Gruber (RIVF, 2007)

Semi-supervised boosting using visual similarity learning. - Christian Leistner; Helmut Grabner; Horst Bischof (CVPR, 2008)

3D tracking in unknown environments using on-line keypoint learning for mobile augmented reality. - Gerhard Schall; Helmut Grabner; Michael Grabner; Paul Wohlhart; Dieter Schmalstieg; Horst Bischof (CVPR Workshops, 2008)

Semi-supervised On-Line Boosting for Robust Tracking. - Helmut Grabner; Christian Leistner; Horst Bischof (ECCV (1), 2008)

SERBoost: Semi-supervised Boosting with Expectation Regularization. - Amir Saffari; Helmut Grabner; Horst Bischof (ECCV (3), 2008)

Visual on-line learning in distributed camera networks. - Christian Leistner; Peter M. Roth; Helmut Grabner; Horst Bischof; Andreas Starzacher; Bernhard Rinner (ICDSC, 2008)

Training sequential on-line boosting classifier for visual tracking. - Helmut Grabner; Jan Sochman; Horst Bischof; Jiri Matas (ICPR, 2008)

Time Dependent On-line Boosting for Robust Background Modeling. - Helmut Grabner; Christian Leistner; Horst Bischof (VISAPP (1), 2008)

Online Learning of Person Detectors by Co-Training from Multiple Cameras. - Peter M. Roth; Christian Leistner; Helmut Grabner; Horst Bischof (Multi-Camera Networks, 2009)

Segmentation-Based Urban Traffic Scene Understanding. - Andreas Ess; Tobias Mueller; Helmut Grabner; Luc Van Gool (BMVC, 2009)

Mining from large image sets. - Luc Van Gool; Michael D. Breitenstein; Stephan Gammeter; Helmut Grabner; Till Quack (CIVR, 2009)

Classifier grids for robust adaptive object detection. - Peter M. Roth; Sabine Sternig; Helmut Grabner; Horst Bischof (CVPR, 2009)

Hunting Nessie - Real-time abnormality detection from webcams. - Michael D. Breitenstein; Helmut Grabner; Luc Van Gool (ICCV Workshops, 2009)

Tracker trees for unusual event detection. - Fabian Nater; Helmut Grabner; Tobias Jaeggli; Luc Van Gool (ICCV Workshops, 2009)

Beyond semi-supervised tracking: Tracking should be as simple as detection, but not simpler than recognition. - Severin Stalder; Helmut Grabner; Luc Van Gool (ICCV Workshops, 2009)

Object Flow: Learning Object Displacement. - Constantinos Lalos; Helmut Grabner; Luc Van Gool; Theodora A. Varvarigou (ACCV Workshops (1), 2010)

Automatic Workflow Monitoring in Industrial Environments. - Galina V. Veres; Helmut Grabner; Lee Middleton; Luc Van Gool (ACCV (1), 2010)

Tracking the invisible: Learning where the object might be. - Helmut Grabner; Jiri Matas; Luc Van Gool; Philippe C. Cattin (CVPR, 2010)

Exploiting simple hierarchies for unsupervised human behavior analysis. - Fabian Nater; Helmut Grabner; Luc Van Gool (CVPR, 2010)

Cascaded Confidence Filtering for Improved Tracking-by-Detection. - Severin Stalder; Helmut Grabner; Luc Van Gool (ECCV (1), 2010)

Robust Workflow Recognition Using Holistic Features and Outlier-Tolerant Fused Hidden Markov Models. - Athanasios Voulodimos; Helmut Grabner; Dimitrios I. Kosmopoulos; Luc Van Gool; Theodora A. Varvarigou (ICANN (1), 2010)

Tools for semi-automatic monitoring of industrial workflows. - 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; et al. (ARTEMIS@ACM Multimedia, 2010)

Real-time detection of unusual regions in image streams. - René Schuster; Roland Mörzinger; Werner Haas 001; Helmut Grabner; Luc Van Gool (ACM Multimedia, 2010)

Improved person detection in industrial environments using multiple self-calibrated cameras. - Roland Mörzinger; Marcus Thaler; Severin Stalder; Helmut Grabner; Luc Van Gool (AVSS, 2011)

Temporal Relations in Videos for Unsupervised Activity Analysis. - Fabian Nater; Helmut Grabner; Luc Van Gool (BMVC, 2011)

Efficient 3D Object Detection using Multiple Pose-Specific Classifiers. - Michael Villamizar; Helmut Grabner; Francesc Moreno-Noguer; Juan Andrade-Cetto; Luc Van Gool; Alberto Sanfeliu (BMVC, 2011)

What makes a chair a chair? - Helmut Grabner; Juergen Gall; Luc Van Gool (CVPR, 2011)

Unsupervised workflow discovery in industrial environments. - Fabian Nater; Helmut Grabner; Luc Van Gool (ICCV Workshops, 2011)

Transferring activities: Updating human behavior analysis. - Fabian Nater; Tatiana Tommasi; Helmut Grabner; Luc Van Gool; Barbara Caputo (ICCV Workshops, 2011)

Online classification of visual tasks for industrial workflow monitoring. - Athanasios Voulodimos; Dimitrios I. Kosmopoulos; Galina V. Veres; Helmut Grabner; Luc Van Gool; Theodora A. Varvarigou (Neural Networks, 2011)

Exploiting Physical Inconsistencies for 3D Scene Understanding. - Andrea Fossati; Helmut Grabner; Luc Van Gool (3DIMPVT, 2012)

Dynamic Objectness for Adaptive Tracking. - Severin Stalder; Helmut Grabner; Luc Van Gool (ACCV (3), 2012)

Discrimination of Locomotion Direction at Different Speeds: A Comparison between Macaque Monkeys and Algorithms. - Fabian Nater; Joris Vangeneugden; Helmut Grabner; Luc Van Gool; Rufin Vogels (Detection and Identification of Rare Audiovisual Cues, 2012)

The Interestingness of Images. - Michael Gygli; Helmut Grabner; Hayko Riemenschneider; Fabian Nater; Luc Van Gool (ICCV, 2013)

Visual interestingness in image sequences. - Helmut Grabner; Fabian Nater; Michel Druey; Luc Van Gool (ACM Multimedia, 2013)

Creating Summaries from User Videos. - Michael Gygli; Helmut Grabner; Hayko Riemenschneider; Luc Van Gool (ECCV (7), 2014)

Video summarization by learning submodular mixtures of objectives. - Michael Gygli; Helmut Grabner; Luc Van Gool (CVPR, 2015)

Robust aerial object tracking in images with lens flare. - Andreas Nussberger; Helmut Grabner; Luc Van Gool (ICRA, 2015)

Evaluating Audiovisual Source Separation in the Context of Video Conferencing. - Berkay Inan; Milos Cernak; Helmut Grabner; Helena Peic Tukuljac; Rodrigo C. G. Pena; Benjamin Ricaud (INTERSPEECH, 2019)

Lossy Image Compression with Recurrent Neural Networks: from Human Perceived Visual Quality to Classification Accuracy. - Maurice Weber; Cédric Renggli; Helmut Grabner; Ce Zhang 001 (CoRR, 2019)

Observer Dependent Lossy Image Compression. - Maurice Weber; Cédric Renggli; Helmut Grabner; Ce Zhang 001 (GCPR, 2020)

Learning to Ignore: Fair and Task Independent Representations. - Linda Helen Boedi; Helmut Grabner (CoRR, 2021)

Who wants to be a Click-Millionaire? On the Influence of Thumbnails and Captions. - Thomas Koller; Helmut Grabner (ICPR, 2022)

Mitigating Discriminatory Biases in Success Prediction Models for Venture Capitals. - Yiea-Funk Te; Michèle Wieland; Martin Frey; Helmut Grabner (SDS, 2023)

Commonly Interesting Images. - Fitim Abdullahu; Helmut Grabner (ECCV (63), 2024)

A novel augmented reality-based simulator for enhancing orthopedic surgical training. - Luohong Wu; Matthias Seibold; Nicola Alessandro Cavalcanti; Jonas Hein; Tatiana Gerth; Roni Lekar; Armando Hoch; Lazaros Vlachopoulos; Helmut Grabner; Patrick Oliver Zingg; Mazda Farshad; Philipp Fürnstahl (Comput. Biol. Medicine, 2025)

Enhancing Orthopedic Surgical Training With Interactive Photorealistic 3D Visualization. - Roni Lekar; Tatiana Gerth; Sergey Prokudin; Matthias Seibold; Reto Bürgin; Benjamin Vella; Armando Hoch; Siyu Tang 001; Philipp Fürnstahl; Helmut Grabner (CoRR, 2025)