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)

On-Line, Incremental Learning of a Robust Active Shape Model. - Michael Fussenegger; Peter M. Roth; Horst Bischof; Axel Pinz (DAGM-Symposium, 2006)

Incremental LDA Learning by Combining Reconstructive and Discriminative Approaches. - Martina Uray; Danijel Skocaj; Peter M. Roth; Horst Bischof; Ales Leonardis (BMVC, 2007)

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

Active sampling via tracking. - Peter M. Roth; Horst Bischof (CVPR Workshops, 2008)

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

Conservative Learning for Object Detectors. - Peter M. Roth; Horst Bischof (Machine Learning Techniques for Multimedia, 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)

Semantic Classification in Aerial Imagery by Integrating Appearance and Height Information. - Stefan Kluckner; Thomas Mauthner; Peter M. Roth; Horst Bischof (ACCV (2), 2009)

Semantic Image Classification using Consistent Regions and Individual Context. - Stefan Kluckner; Thomas Mauthner; Peter M. Roth; Horst Bischof (BMVC, 2009)

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

On robustness of on-line boosting - a competitive study. - Christian Leistner; Amir Saffari; Peter M. Roth; Horst Bischof (ICCV Workshops, 2009)

Efficient human action recognition by cascaded linear classification. - Peter M. Roth; Thomas Mauthner; Inayat Khan; Horst Bischof (ICCV Workshops, 2009)

Instant Action Recognition. - Thomas Mauthner; Peter M. Roth; Horst Bischof (SCIA, 2009)

Fast-Robust PCA. - Markus Storer; Peter M. Roth; Martin Urschler; Horst Bischof (SCIA, 2009)

Active Appearance Model Fitting under Occlusion using Fast-robust PCA. - Markus Storer; Peter M. Roth; Martin Urschler; Horst Bischof; Josef A. Birchbauer (VISAPP (1), 2009)

Efficient Robust Active Appearance Model Fitting. - Markus Storer; Peter M. Roth; Martin Urschler; Horst Bischof; Josef A. Birchbauer (VISIGRAPP (Selected Papers), 2009)

Efficient Classification for Large-scale Problems by Multiple LDA Subspaces. - Martina Uray; Peter M. Roth; Horst Bischof (VISAPP (1), 2009)

A level set framework using a new incremental, robust Active Shape Model for object segmentation and tracking. - Michael Fussenegger; Peter M. Roth; Horst Bischof; Rachid Deriche; Axel Pinz (Image Vis. Comput., 2009)

Temporal Feature Weighting for Prototype-Based Action Recognition. - Thomas Mauthner; Peter M. Roth; Horst Bischof (ACCV (2), 2010)

Automatic Detection and Reading of Dangerous Goods Plates. - Peter M. Roth; Martin Köstinger; Paul Wohlhart; Horst Bischof; Josef A. Birchbauer (AVSS, 2010)

Learning of Scene-Specific Object Detectors by Classifier Co-Grids. - Sabine Sternig; Peter M. Roth; Horst Bischof (AVSS, 2010)

Context-driven clustering by multi-class classification in an active learning framework. - Martin Godec; Sabine Sternig; Peter M. Roth; Horst Bischof (CVPR Workshops, 2010)

Multiple instance learning from multiple cameras. - Peter M. Roth; Christian Leistner; Armin Berger; Horst Bischof (CVPR Workshops, 2010)

TransientBoost: On-line boosting with transient data. - Sabine Sternig; Martin Godec; Peter M. Roth; Horst Bischof (CVPR Workshops, 2010)

Efficient Object Detection Using Orthogonal NMF Descriptor Hierarchies. - Thomas Mauthner; Stefan Kluckner; Peter M. Roth; Horst Bischof (DAGM-Symposium, 2010)

Inverse Multiple Instance Learning for Classifier Grids. - Sabine Sternig; Peter M. Roth; Horst Bischof (ICPR, 2010)

AVSS 2011 demo session: OUTLIER - online learning and visualization of unusual events. - Josef A. Birchbauer; Samuel Schulter; René Schuster; Georg Poier; Martin Winter; Peter Schallauer; Peter M. Roth; Horst Bischof (AVSS, 2011)

Learning to recognize faces from videos and weakly related information cues. - Martin Köstinger; Paul Wohlhart; Peter M. Roth; Horst Bischof (AVSS, 2011)

Next-generation 3D visualization for visual surveillance. - Peter M. Roth; Volker Settgast; Peter Widhalm; Marcel Lancelle; Josef A. Birchbauer; Norbert Brändle; Sven Havemann; Horst Bischof (AVSS, 2011)

On-line Hough Forests. - Samuel Schulter; Christian Leistner; Peter M. Roth; Horst Bischof; Luc Van Gool (BMVC, 2011)

Multiple Instance Boosting for Face Recognition in Videos. - Paul Wohlhart; Martin Köstinger; Peter M. Roth; Horst Bischof (DAGM-Symposium, 2011)

Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization. - Martin Köstinger; Paul Wohlhart; Peter M. Roth; Horst Bischof (ICCV Workshops, 2011)

Multi-cue learning and visualization of unusual events. - René Schuster; Samuel Schulter; Georg Poier; Martin Hirzer; Josef A. Birchbauer; Peter M. Roth; Horst Bischof; Martin Winter; Peter Schallauer (ICCV Workshops, 2011)

Multi-camera multi-object tracking by robust hough-based homography projections. - Sabine Sternig; Thomas Mauthner; Arnold Irschara; Peter M. Roth; Horst Bischof (ICCV Workshops, 2011)

Person Re-identification by Descriptive and Discriminative Classification. - Martin Hirzer; Csaba Beleznai; Peter M. Roth; Horst Bischof (SCIA, 2011)

Detecting Partially Occluded Objects with an Implicit Shape Model Random Field. - Paul Wohlhart; Michael Donoser; Peter M. Roth; Horst Bischof (ACCV (1), 2012)

Person Re-identification by Efficient Impostor-Based Metric Learning. - Martin Hirzer; Peter M. Roth; Horst Bischof (AVSS, 2012)

Discriminative Hough Forests for Object Detection. - Paul Wohlhart; Samuel Schulter; Martin Köstinger; Peter M. Roth; Horst Bischof (BMVC, 2012)

Large scale metric learning from equivalence constraints. - Martin Köstinger; Martin Hirzer; Paul Wohlhart; Peter M. Roth; Horst Bischof (CVPR, 2012)

Synergy-Based Learning of Facial Identity. - Martin Köstinger; Peter M. Roth; Horst Bischof (DAGM/OAGM Symposium, 2012)

Relaxed Pairwise Learned Metric for Person Re-identification. - Martin Hirzer; Peter M. Roth; Martin Köstinger; Horst Bischof (ECCV (6), 2012)

Learn to Move: Activity Specific Motion Models for Tracking by Detection. - Thomas Mauthner; Peter M. Roth; Horst Bischof (ECCV Workshops (3), 2012)

Hough Regions for Joining Instance Localization and Segmentation. - Hayko Riemenschneider; Sabine Sternig; Michael Donoser; Peter M. Roth; Horst Bischof (ECCV (3), 2012)

Density-based rare event detection from streams of neuromorphic sensor data. - Csaba Beleznai; Ahmed Nabil Belbachir; Peter M. Roth (ICDSC, 2012)

Dense appearance modeling and efficient learning of camera transitions for person re-identification. - Martin Hirzer; Csaba Beleznai; Martin Köstinger; Peter M. Roth; Horst Bischof (ICIP, 2012)

On-line inverse multiple instance boosting for classifier grids. - Sabine Sternig; Peter M. Roth; Horst Bischof (Pattern Recognit. Lett., 2012)

Unsupervised Object Discovery and Segmentation in Videos. - Samuel Schulter; Christian Leistner; Peter M. Roth; Horst Bischof (BMVC, 2013)

Robust Real-Time Tracking of Multiple Objects by Volumetric Mass Densities. - Horst Possegger; Sabine Sternig; Thomas Mauthner; Peter M. Roth; Horst Bischof (CVPR, 2013)

Alternating Decision Forests. - Samuel Schulter; Paul Wohlhart; Christian Leistner; Amir Saffari; Peter M. Roth; Horst Bischof (CVPR, 2013)

Optimizing 1-Nearest Prototype Classifiers. - Paul Wohlhart; Martin Köstinger; Michael Donoser; Peter M. Roth; Horst Bischof (CVPR, 2013)

Efficient Retrieval for Large Scale Metric Learning. - Martin Köstinger; Peter M. Roth; Horst Bischof (GCPR, 2013)

Ordinal Random Forests for Object Detection. - Samuel Schulter; Peter M. Roth; Horst Bischof (GCPR, 2013)

Joint Learning of Discriminative Prototypes and Large Margin Nearest Neighbor Classifiers. - Martin Köstinger; Paul Wohlhart; Peter M. Roth; Horst Bischof (ICCV, 2013)

Alternating Regression Forests for Object Detection and Pose Estimation. - Samuel Schulter; Christian Leistner; Paul Wohlhart; Peter M. Roth; Horst Bischof (ICCV, 2013)

Hough-based tracking of non-rigid objects. - Martin Godec; Peter M. Roth; Horst Bischof (Comput. Vis. Image Underst., 2013)

Segmentation-based tracking by support fusion. - Markus Heber; Martin Godec; Matthias Rüther; Peter M. Roth; Horst Bischof (Comput. Vis. Image Underst., 2013)

Learning Object Detectors in Stationary Environments. - Peter M. Roth; Sabine Sternig; Horst Bischof (Advanced Topics in Computer Vision, 2013)

Occlusion Geodesics for Online Multi-object Tracking. - Horst Possegger; Thomas Mauthner; Peter M. Roth; Horst Bischof (CVPR, 2014)

Accurate Object Detection with Joint Classification-Regression Random Forests. - Samuel Schulter; Christian Leistner; Paul Wohlhart; Peter M. Roth; Horst Bischof (CVPR, 2014)

Hough Forests Revisited: An Approach to Multiple Instance Tracking from Multiple Cameras. - Georg Poier; Samuel Schulter; Sabine Sternig; Peter M. Roth; Horst Bischof (GCPR, 2014)

Mahalanobis Distance Learning for Person Re-identification. - Peter M. Roth; Martin Hirzer; Martin Köstinger; Csaba Beleznai; Horst Bischof (Person Re-Identification, 2014)

Machine Learning and Knowledge Extraction in Digital Pathology Needs an Integrative Approach. - Andreas Holzinger; Bernd Malle; Peter Kieseberg; Peter M. Roth; Heimo Müller; Robert Reihs; Kurt Zatloukal (BIRS-IMLKE, 2015)

Accurate Camera Registration in Urban Environments Using High-Level Feature Matching. - Anil Armagan; Martin Hirzer; Peter M. Roth; Vincent Lepetit (BMVC, 2017)

Efficient 3D Tracking in Urban Environments with Semantic Segmentation. - Martin Hirzer; Peter M. Roth; Vincent Lepetit (BMVC, 2017)

Adaptive Local Contrast Normalization for Robust Object Detection and Pose Estimation. - Mahdi Rad; Vincent Lepetit; Peter M. Roth (BMVC, 2017)

Learning to Align Semantic Segmentation and 2.5D Maps for Geolocalization. - Anil Armagan; Martin Hirzer; Peter M. Roth; Vincent Lepetit (CVPR, 2017)

Learning Lightprobes for Mixed Reality Illumination. - David Mandl; Kwang Moo Yi; Peter Mohr; Peter M. Roth; Pascal Fua; Vincent Lepetit; Dieter Schmalstieg; Denis Kalkofen (ISMAR, 2017)

ALCN: Meta-Learning for Contrast Normalization Applied to Robust 3D Pose Estimation. - Mahdi Rad; Peter M. Roth; Vincent Lepetit (CoRR, 2017)

Towards the Augmented Pathologist: Challenges of Explainable-AI in Digital Pathology. - Andreas Holzinger; Bernd Malle; Peter Kieseberg; Peter M. Roth; Heimo Müller; Robert Reihs; Kurt Zatloukal (CoRR, 2017)

3D Pose Estimation and 3D Model Retrieval for Objects in the Wild. - Alexander Grabner; Peter M. Roth; Vincent Lepetit (CVPR, 2018)

The Quest for the Golden Activation Function. - Mina Basirat; Peter M. Roth (CoRR, 2018)

Location Field Descriptors: Single Image 3D Model Retrieval in the Wild. - Alexander Grabner; Peter M. Roth; Vincent Lepetit (3DV, 2019)

GP2C: Geometric Projection Parameter Consensus for Joint 3D Pose and Focal Length Estimation in the Wild. - Alexander Grabner; Peter M. Roth; Vincent Lepetit (ICCV, 2019)

Multiple View Geometry in Remote Sensing: An Empirical Study Based on Pléiades Satellite Images. - Roland Perko; Mathias Schardt; Livia Piermattei; Stefan Auer; Peter M. Roth (IGARSS, 2019)

Learning Task-specific Activation Functions using Genetic Programming. - Mina Basirat; Peter M. Roth (VISIGRAPP (5: VISAPP), 2019)

Biomedical image augmentation using Augmentor. - Marcus D. Bloice; Peter M. Roth; Andreas Holzinger (Bioinform., 2019)

Brain-Inspired Intelligent Systems for Daily Assistance. - Anastassia Angelopoulou; José García Rodríguez 001; Epaminondas Kapetanios; Peter M. Roth; Kenneth Revett (Comput. Intell. Neurosci., 2019)

Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data. - Christina Gsaxner; Peter M. Roth; Jürgen Wallner; Jan Egger (CoRR, 2019)

Patch augmentation: Towards efficient decision boundaries for neural networks. - Marcus D. Bloice; Peter M. Roth; Andreas Holzinger (CoRR, 2019)

Mapping with Pléiades - End-to-End Workflow. - Roland Perko; Hannes Raggam; Peter M. Roth (Remote. Sens., 2019)

Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild. - Alexander Grabner; Yaming Wang; Peizhao Zhang; Peihong Guo; Tong Xiao; Peter Vajda; Peter M. Roth; Vincent Lepetit (ECCV (16), 2020)

Performing Arithmetic Using a Neural Network Trained on Digit Permutation Pairs. - Marcus D. Bloice; Peter M. Roth; Andreas Holzinger (ISMIS, 2020)

L*ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained Visual Categorization. - Mina Basirat; Peter M. Roth (WACV, 2020)

Smart Hypothesis Generation for Efficient and Robust Room Layout Estimation. - Martin Hirzer; Peter M. Roth; Vincent Lepetit (WACV, 2020)

ALCN: Adaptive Local Contrast Normalization. - Mahdi Rad; Peter M. Roth; Vincent Lepetit (Comput. Vis. Image Underst., 2020)

Protocol Design Issues for Object Density Estimation and Counting in Remote Sensing. - Roland Perko; Alexander Almer; Mario Theuermann; Manfred Klopschitz; Thomas Schnabel; Peter M. Roth (IGARSS, 2021)

Neural Cameras: Learning Camera Characteristics for Coherent Mixed Reality Rendering. - David Mandl; Peter M. Roth; Tobias Langlotz; Christoph Ebner; Shohei Mori; Stefanie Zollmann; Peter Mohr; Denis Kalkofen (ISMAR, 2021)

S*ReLU: Learning Piecewise Linear Activation Functions via Particle Swarm Optimization. - Mina Basirat; Peter M. Roth (VISIGRAPP (5: VISAPP), 2021)

A Geometric Perspective on Information Plane Analysis. - Mina Basirat; Bernhard C. Geiger; Peter M. Roth (Entropy, 2021)

Performing arithmetic using a neural network trained on images of digit permutation pairs. - Marcus D. Bloice; Peter M. Roth; Andreas Holzinger (J. Intell. Inf. Syst., 2021)

Critical Aspects of Person Counting and Density Estimation. - Roland Perko; Manfred Klopschitz; Alexander Almer; Peter M. Roth (J. Imaging, 2021)

OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data. - David Schinagl; Georg Krispel; Horst Possegger; Peter M. Roth; Horst Bischof (CVPR, 2022)

Counting Everything in Remote Sensing - the Need for Benchmarks. - Roland Perko; Sead Mustafic; Alexander Almer; Peter M. Roth (IGARSS, 2022)

Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations. - Antonio Pepe 003; Jan Egger; Marina Codari; Martin J. Willemink; Christina Gsaxner; Jianning Li 002; Peter M. Roth; Dieter Schmalstieg; Gabriel Mistelbauer; Dominik Fleischmann (Comput. Biol. Medicine, 2023)