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2020 – today
- 2023
[j12]Antonio Pepe
, Jan Egger, Marina Codari, Martin J. Willemink, Christina Gsaxner, Jianning Li, Peter M. Roth, Dieter Schmalstieg, Gabriel Mistelbauer, Dominik Fleischmann:
Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations. Comput. Biol. Medicine 165: 107365 (2023)- 2022
- [c75]David Schinagl, Georg Krispel, Horst Possegger, Peter M. Roth, Horst Bischof:
OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data. CVPR 2022: 1131-1140 - [c74]Roland Perko, Sead Mustafic, Alexander Almer, Peter M. Roth:
Counting Everything in Remote Sensing - the Need for Benchmarks. IGARSS 2022: 5369-5372 - [i15]David Schinagl, Georg Krispel, Horst Possegger, Peter M. Roth, Horst Bischof:
OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data. CoRR abs/2204.06577 (2022) - 2021
- [j11]Mina Basirat, Bernhard C. Geiger, Peter M. Roth:
A Geometric Perspective on Information Plane Analysis. Entropy 23(6): 711 (2021) - [j10]Marcus D. Bloice, Peter M. Roth, Andreas Holzinger:
Performing arithmetic using a neural network trained on images of digit permutation pairs. J. Intell. Inf. Syst. 57(3): 547-562 (2021) - [j9]Roland Perko, Manfred Klopschitz, Alexander Almer, Peter M. Roth:
Critical Aspects of Person Counting and Density Estimation. J. Imaging 7(2): 21 (2021) - [c73]Roland Perko, Alexander Almer, Mario Theuermann, Manfred Klopschitz, Thomas Schnabel, Peter M. Roth:
Protocol Design Issues for Object Density Estimation and Counting in Remote Sensing. IGARSS 2021: 2771-2774 - [c72]David Mandl, Peter M. Roth, Tobias Langlotz, Christoph Ebner, Shohei Mori, Stefanie Zollmann, Peter Mohr, Denis Kalkofen:
Neural Cameras: Learning Camera Characteristics for Coherent Mixed Reality Rendering. ISMAR 2021: 508-516 - [c71]Mina Basirat, Peter M. Roth:
S*ReLU: Learning Piecewise Linear Activation Functions via Particle Swarm Optimization. VISIGRAPP (5: VISAPP) 2021: 645-652 - [i14]Antonio Pepe, Jan Egger, Marina Codari, Martin J. Willemink, Christina Gsaxner, Jianning Li, Peter M. Roth, Gabriel Mistelbauer, Dieter Schmalstieg, Dominik Fleischmann:
Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations. CoRR abs/2111.11269 (2021) - 2020
- [j8]Mahdi Rad, Peter M. Roth, Vincent Lepetit:
ALCN: Adaptive Local Contrast Normalization. Comput. Vis. Image Underst. 194: 102947 (2020) - [c70]Alexander Grabner, Yaming Wang, Peizhao Zhang, Peihong Guo, Tong Xiao, Peter Vajda, Peter M. Roth, Vincent Lepetit:
Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild. ECCV (16) 2020: 102-119 - [c69]Marcus D. Bloice, Peter M. Roth, Andreas Holzinger:
Performing Arithmetic Using a Neural Network Trained on Digit Permutation Pairs. ISMIS 2020: 255-264 - [c68]Mina Basirat, Peter M. Roth:
L*ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained Visual Categorization. WACV 2020: 1207-1216 - [c67]Martin Hirzer, Peter M. Roth, Vincent Lepetit:
Smart Hypothesis Generation for Efficient and Robust Room Layout Estimation. WACV 2020: 2901-2909 - [i13]Mahdi Rad, Peter M. Roth, Vincent Lepetit:
ALCN: Adaptive Local Contrast Normalization. CoRR abs/2004.07945 (2020) - [i12]Alexander Grabner, Yaming Wang, Peizhao Zhang, Peihong Guo, Tong Xiao, Peter Vajda, Peter M. Roth, Vincent Lepetit:
Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild. CoRR abs/2007.08939 (2020)
2010 – 2019
- 2019
- [j7]Marcus D. Bloice, Peter M. Roth, Andreas Holzinger:
Biomedical image augmentation using Augmentor. Bioinform. 35(21): 4522-4524 (2019) - [j6]Anastassia Angelopoulou, José García Rodríguez, Epaminondas Kapetanios, Peter M. Roth, Kenneth Revett:
Brain-Inspired Intelligent Systems for Daily Assistance. Comput. Intell. Neurosci. 2019: 7597839:1-7597839:2 (2019) - [j5]Roland Perko, Hannes Raggam, Peter M. Roth:
Mapping with Pléiades - End-to-End Workflow. Remote. Sens. 11(17): 2052 (2019) - [c66]Alexander Grabner, Peter M. Roth, Vincent Lepetit:
Location Field Descriptors: Single Image 3D Model Retrieval in the Wild. 3DV 2019: 583-593 - [c65]Alexander Grabner, Peter M. Roth, Vincent Lepetit:
GP2C: Geometric Projection Parameter Consensus for Joint 3D Pose and Focal Length Estimation in the Wild. ICCV 2019: 2222-2231 - [c64]Roland Perko, Mathias Schardt, Livia Piermattei, Stefan Auer, Peter M. Roth:
Multiple View Geometry in Remote Sensing: An Empirical Study Based on Pléiades Satellite Images. IGARSS 2019: 3629-3632 - [c63]Mina Basirat, Peter M. Roth:
Learning Task-specific Activation Functions using Genetic Programming. VISIGRAPP (5: VISAPP) 2019: 533-540 - [i11]Christina Gsaxner, Peter M. Roth, Jürgen Wallner, Jan Egger:
Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data. CoRR abs/1903.02871 (2019) - [i10]Alexander Grabner, Peter M. Roth, Vincent Lepetit:
GP2C: Geometric Projection Parameter Consensus for Joint 3D Pose and Focal Length Estimation in the Wild. CoRR abs/1908.02809 (2019) - [i9]Alexander Grabner, Peter M. Roth, Vincent Lepetit:
Location Field Descriptors: Single Image 3D Model Retrieval in the Wild. CoRR abs/1908.02853 (2019) - [i8]Martin Hirzer, Peter M. Roth, Vincent Lepetit:
Smart Hypothesis Generation for Efficient and Robust Room Layout Estimation. CoRR abs/1910.12257 (2019) - [i7]Mina Basirat, Peter M. Roth:
L*ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained Visual Categorization. CoRR abs/1910.12259 (2019) - [i6]Marcus D. Bloice, Peter M. Roth, Andreas Holzinger:
Patch augmentation: Towards efficient decision boundaries for neural networks. CoRR abs/1911.07922 (2019) - [i5]Marcus D. Bloice, Peter M. Roth, Andreas Holzinger:
Performing Arithmetic Using a Neural Network Trained on Digit Permutation Pairs. CoRR abs/1912.03035 (2019) - 2018
- [c62]Alexander Grabner, Peter M. Roth, Vincent Lepetit:
3D Pose Estimation and 3D Model Retrieval for Objects in the Wild. CVPR 2018: 3022-3031 - [i4]Alexander Grabner, Peter M. Roth, Vincent Lepetit:
3D Pose Estimation and 3D Model Retrieval for Objects in the Wild. CoRR abs/1803.11493 (2018) - [i3]Mina Basirat, Peter M. Roth:
The Quest for the Golden Activation Function. CoRR abs/1808.00783 (2018) - 2017
- [c61]Anil Armagan, Martin Hirzer, Peter M. Roth, Vincent Lepetit:
Accurate Camera Registration in Urban Environments Using High-Level Feature Matching. BMVC 2017 - [c60]Martin Hirzer, Peter M. Roth, Vincent Lepetit:
Efficient 3D Tracking in Urban Environments with Semantic Segmentation. BMVC 2017 - [c59]Mahdi Rad, Vincent Lepetit, Peter M. Roth:
Adaptive Local Contrast Normalization for Robust Object Detection and Pose Estimation. BMVC 2017 - [c58]Anil Armagan, Martin Hirzer, Peter M. Roth, Vincent Lepetit:
Learning to Align Semantic Segmentation and 2.5D Maps for Geolocalization. CVPR 2017: 4590-4597 - [c57]David Mandl, Kwang Moo Yi, Peter Mohr, Peter M. Roth, Pascal Fua, Vincent Lepetit, Dieter Schmalstieg, Denis Kalkofen:
Learning Lightprobes for Mixed Reality Illumination. ISMAR 2017: 82-89 - [i2]Mahdi Rad, Peter M. Roth, Vincent Lepetit:
ALCN: Meta-Learning for Contrast Normalization Applied to Robust 3D Pose Estimation. CoRR abs/1708.09633 (2017) - [i1]Andreas Holzinger, Bernd Malle, Peter Kieseberg, Peter M. Roth, Heimo Müller, Robert Reihs, Kurt Zatloukal:
Towards the Augmented Pathologist: Challenges of Explainable-AI in Digital Pathology. CoRR abs/1712.06657 (2017) - 2015
- [c56]Andreas Holzinger, Bernd Malle, Peter Kieseberg, Peter M. Roth, Heimo Müller, Robert Reihs, Kurt Zatloukal:
Machine Learning and Knowledge Extraction in Digital Pathology Needs an Integrative Approach. BIRS-IMLKE 2015: 13-50 - 2014
- [c55]Samuel Schulter, Christian Leistner, Paul Wohlhart, Peter M. Roth, Horst Bischof:
Accurate Object Detection with Joint Classification-Regression Random Forests. CVPR 2014: 923-930 - [c54]Horst Possegger, Thomas Mauthner, Peter M. Roth, Horst Bischof:
Occlusion Geodesics for Online Multi-object Tracking. CVPR 2014: 1306-1313 - [c53]Georg Poier, Samuel Schulter, Sabine Sternig, Peter M. Roth, Horst Bischof:
Hough Forests Revisited: An Approach to Multiple Instance Tracking from Multiple Cameras. GCPR 2014: 499-510 - [p4]Peter M. Roth, Martin Hirzer, Martin Köstinger, Csaba Beleznai, Horst Bischof:
Mahalanobis Distance Learning for Person Re-identification. Person Re-Identification 2014: 247-267 - 2013
- [j4]Markus Heber, Martin Godec, Matthias Rüther, Peter M. Roth, Horst Bischof:
Segmentation-based tracking by support fusion. Comput. Vis. Image Underst. 117(6): 573-586 (2013) - [j3]Martin Godec, Peter M. Roth, Horst Bischof:
Hough-based tracking of non-rigid objects. Comput. Vis. Image Underst. 117(10): 1245-1256 (2013) - [c52]Samuel Schulter, Christian Leistner, Peter M. Roth, Horst Bischof:
Unsupervised Object Discovery and Segmentation in Videos. BMVC 2013 - [c51]Paul Wohlhart, Martin Köstinger, Michael Donoser, Peter M. Roth, Horst Bischof:
Optimizing 1-Nearest Prototype Classifiers. CVPR 2013: 460-467 - [c50]Samuel Schulter, Paul Wohlhart, Christian Leistner, Amir Saffari, Peter M. Roth, Horst Bischof:
Alternating Decision Forests. CVPR 2013: 508-515 - [c49]Horst Possegger, Sabine Sternig, Thomas Mauthner, Peter M. Roth, Horst Bischof:
Robust Real-Time Tracking of Multiple Objects by Volumetric Mass Densities. CVPR 2013: 2395-2402 - [c48]Samuel Schulter, Peter M. Roth, Horst Bischof:
Ordinal Random Forests for Object Detection. GCPR 2013: 261-270 - [c47]Martin Köstinger, Peter M. Roth, Horst Bischof:
Efficient Retrieval for Large Scale Metric Learning. GCPR 2013: 292-301 - [c46]Samuel Schulter, Christian Leistner, Paul Wohlhart, Peter M. Roth, Horst Bischof:
Alternating Regression Forests for Object Detection and Pose Estimation. ICCV 2013: 417-424 - [c45]Martin Köstinger, Paul Wohlhart, Peter M. Roth, Horst Bischof:
Joint Learning of Discriminative Prototypes and Large Margin Nearest Neighbor Classifiers. ICCV 2013: 3112-3119 - [p3]Peter M. Roth, Sabine Sternig, Horst Bischof:
Learning Object Detectors in Stationary Environments. Advanced Topics in Computer Vision 2013: 377-409 - 2012
- [j2]Sabine Sternig, Peter M. Roth, Horst Bischof:
On-line inverse multiple instance boosting for classifier grids. Pattern Recognit. Lett. 33(7): 890-897 (2012) - [c44]Paul Wohlhart, Michael Donoser, Peter M. Roth, Horst Bischof:
Detecting Partially Occluded Objects with an Implicit Shape Model Random Field. ACCV (1) 2012: 302-315 - [c43]Martin Hirzer, Peter M. Roth, Horst Bischof:
Person Re-identification by Efficient Impostor-Based Metric Learning. AVSS 2012: 203-208 - [c42]Paul Wohlhart, Samuel Schulter, Martin Köstinger, Peter M. Roth, Horst Bischof:
Discriminative Hough Forests for Object Detection. BMVC 2012: 1-11 - [c41]Martin Köstinger, Martin Hirzer, Paul Wohlhart, Peter M. Roth, Horst Bischof:
Large scale metric learning from equivalence constraints. CVPR 2012: 2288-2295 - [c40]Martin Köstinger, Peter M. Roth, Horst Bischof:
Synergy-Based Learning of Facial Identity. DAGM/OAGM Symposium 2012: 195-204 - [c39]Thomas Mauthner, Peter M. Roth, Horst Bischof:
Learn to Move: Activity Specific Motion Models for Tracking by Detection. ECCV Workshops (3) 2012: 183-192 - [c38]Hayko Riemenschneider, Sabine Sternig, Michael Donoser, Peter M. Roth, Horst Bischof:
Hough Regions for Joining Instance Localization and Segmentation. ECCV (3) 2012: 258-271 - [c37]Martin Hirzer, Peter M. Roth, Martin Köstinger, Horst Bischof:
Relaxed Pairwise Learned Metric for Person Re-identification. ECCV (6) 2012: 780-793 - [c36]Csaba Beleznai, Ahmed Nabil Belbachir, Peter M. Roth:
Density-based rare event detection from streams of neuromorphic sensor data. ICDSC 2012: 1-6 - [c35]Martin Hirzer, Csaba Beleznai, Martin Köstinger, Peter M. Roth, Horst Bischof:
Dense appearance modeling and efficient learning of camera transitions for person re-identification. ICIP 2012: 1617-1620 - 2011
- [c34]Martin Köstinger, Paul Wohlhart, Peter M. Roth, Horst Bischof:
Learning to recognize faces from videos and weakly related information cues. AVSS 2011: 23-28 - [c33]Peter M. Roth, Volker Settgast, Peter Widhalm, Marcel Lancelle, Josef A. Birchbauer, Norbert Brändle, Sven Havemann, Horst Bischof:
Next-generation 3D visualization for visual surveillance. AVSS 2011: 343-348 - [c32]Josef A. Birchbauer, Samuel Schulter, René Schuster, Georg Poier, Martin Winter, Peter Schallauer, Peter M. Roth, Horst Bischof:
AVSS 2011 demo session: OUTLIER - online learning and visualization of unusual events. AVSS 2011: 533-534 - [c31]Samuel Schulter, Christian Leistner, Peter M. Roth, Horst Bischof, Luc Van Gool:
On-line Hough Forests. BMVC 2011: 1-11 - [c30]Paul Wohlhart, Martin Köstinger, Peter M. Roth, Horst Bischof:
Multiple Instance Boosting for Face Recognition in Videos. DAGM-Symposium 2011: 132-141 - [c29]Martin Godec, Peter M. Roth, Horst Bischof:
Hough-based tracking of non-rigid objects. ICCV 2011: 81-88 - [c28]Sabine Sternig, Thomas Mauthner, Arnold Irschara, Peter M. Roth, Horst Bischof:
Multi-camera multi-object tracking by robust hough-based homography projections. ICCV Workshops 2011: 1689-1696 - [c27]René Schuster, Samuel Schulter, Georg Poier, Martin Hirzer, Josef A. Birchbauer, Peter M. Roth, Horst Bischof, Martin Winter, Peter Schallauer:
Multi-cue learning and visualization of unusual events. ICCV Workshops 2011: 1933-1940 - [c26]Martin Köstinger, Paul Wohlhart, Peter M. Roth, Horst Bischof:
Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization. ICCV Workshops 2011: 2144-2151 - [c25]Martin Hirzer, Csaba Beleznai, Peter M. Roth, Horst Bischof:
Person Re-identification by Descriptive and Discriminative Classification. SCIA 2011: 91-102 - 2010
- [c24]Thomas Mauthner, Peter M. Roth, Horst Bischof:
Temporal Feature Weighting for Prototype-Based Action Recognition. ACCV (2) 2010: 566-579 - [c23]Sabine Sternig, Peter M. Roth, Horst Bischof:
Learning of Scene-Specific Object Detectors by Classifier Co-Grids. AVSS 2010: 408-413 - [c22]Peter M. Roth, Martin Köstinger, Paul Wohlhart, Horst Bischof, Josef A. Birchbauer:
Automatic Detection and Reading of Dangerous Goods Plates. AVSS 2010: 580-585 - [c21]Peter M. Roth, Christian Leistner, Armin Berger, Horst Bischof:
Multiple instance learning from multiple cameras. CVPR Workshops 2010: 17-24 - [c20]Martin Godec, Sabine Sternig, Peter M. Roth, Horst Bischof:
Context-driven clustering by multi-class classification in an active learning framework. CVPR Workshops 2010: 19-24 - [c19]Sabine Sternig, Martin Godec, Peter M. Roth, Horst Bischof:
TransientBoost: On-line boosting with transient data. CVPR Workshops 2010: 22-27 - [c18]Thomas Mauthner, Stefan Kluckner, Peter M. Roth, Horst Bischof:
Efficient Object Detection Using Orthogonal NMF Descriptor Hierarchies. DAGM-Symposium 2010: 212-221 - [c17]Sabine Sternig, Peter M. Roth, Horst Bischof:
Inverse Multiple Instance Learning for Classifier Grids. ICPR 2010: 770-773
2000 – 2009
- 2009
- [j1]Michael Fussenegger, Peter M. Roth, Horst Bischof, Rachid Deriche, Axel Pinz:
A level set framework using a new incremental, robust Active Shape Model for object segmentation and tracking. Image Vis. Comput. 27(8): 1157-1168 (2009) - [c16]Stefan Kluckner, Thomas Mauthner, Peter M. Roth, Horst Bischof:
Semantic Classification in Aerial Imagery by Integrating Appearance and Height Information. ACCV (2) 2009: 477-488 - [c15]Stefan Kluckner, Thomas Mauthner, Peter M. Roth, Horst Bischof:
Semantic Image Classification using Consistent Regions and Individual Context. BMVC 2009: 1-12 - [c14]Peter M. Roth, Sabine Sternig, Helmut Grabner, Horst Bischof:
Classifier grids for robust adaptive object detection. CVPR 2009: 2727-2734 - [c13]Peter M. Roth, Thomas Mauthner, Inayat Khan, Horst Bischof:
Efficient human action recognition by cascaded linear classification. ICCV Workshops 2009: 546-553 - [c12]Christian Leistner, Amir Saffari, Peter M. Roth, Horst Bischof:
On robustness of on-line boosting - a competitive study. ICCV Workshops 2009: 1362-1369 - [c11]Thomas Mauthner, Peter M. Roth, Horst Bischof:
Instant Action Recognition. SCIA 2009: 1-10 - [c10]Markus Storer, Peter M. Roth, Martin Urschler, Horst Bischof:
Fast-Robust PCA. SCIA 2009: 430-439 - [c9]Markus Storer, Peter M. Roth, Martin Urschler, Horst Bischof, Josef A. Birchbauer:
Active Appearance Model Fitting under Occlusion using Fast-robust PCA. VISAPP (1) 2009: 130-137 - [c8]Markus Storer, Peter M. Roth, Martin Urschler, Horst Bischof, Josef A. Birchbauer:
Efficient Robust Active Appearance Model Fitting. VISIGRAPP (Selected Papers) 2009: 229-241 - [c7]Martina Uray, Peter M. Roth, Horst Bischof:
Efficient Classification for Large-scale Problems by Multiple LDA Subspaces. VISAPP (1) 2009: 299-306 - [p2]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
- [c6]Peter M. Roth, Horst Bischof:
Active sampling via tracking. CVPR Workshops 2008: 1-8 - [c5]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 - [p1]Peter M. Roth, Horst Bischof:
Conservative Learning for Object Detectors. Machine Learning Techniques for Multimedia 2008: 139-158 - 2007
- [c4]Martina Uray, Danijel Skocaj, Peter M. Roth, Horst Bischof, Ales Leonardis:
Incremental LDA Learning by Combining Reconstructive and Discriminative Approaches. BMVC 2007: 1-10 - [c3]Helmut Grabner, Peter M. Roth, Horst Bischof:
Eigenboosting: Combining Discriminative and Generative Information. CVPR 2007 - 2006
- [c2]Michael Fussenegger, Peter M. Roth, Horst Bischof, Axel Pinz:
On-Line, Incremental Learning of a Robust Active Shape Model. DAGM-Symposium 2006: 122-131 - 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
[c75] [i15] [c55] [c54] [c53] [p4] [j4] [j3] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [p3] [j2] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [j1] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [p2] [c6] [c5] [p1] [c4] [c3] [c2] [c1]
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