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Peter M. Roth

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

50

Venues

12

Active years

2007–2022

Best venue rank

A*

Where they publish

Papers

50 indexed papers, newest first.

YearVenueTitleAuthors
2022CVPROccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data.David Schinagl, Georg Krispel, Horst Possegger, Peter M. Roth, Horst Bischof
2022IGARSSCounting Everything in Remote Sensing - the Need for Benchmarks.Roland Perko, Sead Mustafic, Alexander Almer, Peter M. Roth
2021IGARSSProtocol Design Issues for Object Density Estimation and Counting in Remote Sensing.Roland Perko, Alexander Almer, Mario Theuermann, Manfred Klopschitz, Thomas Schnabel, Peter M. Roth
2021ISMARNeural 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
2020ECCVGeometric 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
2020ISMISPerforming Arithmetic Using a Neural Network Trained on Digit Permutation Pairs.Marcus D. Bloice, Peter M. Roth, Andreas Holzinger
2020WACVL*ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained Visual Categorization.Mina Basirat, Peter M. Roth
2020WACVSmart Hypothesis Generation for Efficient and Robust Room Layout Estimation.Martin Hirzer, Peter M. Roth, Vincent Lepetit
2019ICCVGP2C: Geometric Projection Parameter Consensus for Joint 3D Pose and Focal Length Estimation in the Wild.Alexander Grabner, Peter M. Roth, Vincent Lepetit
2019IGARSSMultiple View Geometry in Remote Sensing: An Empirical Study Based on Pliades Satellite Images.Roland Perko, Mathias Schardt, Livia Piermattei, Stefan Auer, Peter M. Roth
2018CVPR3D Pose Estimation and 3D Model Retrieval for Objects in the Wild.Alexander Grabner, Peter M. Roth, Vincent Lepetit
2017BMVCAccurate Camera Registration in Urban Environments Using High-Level Feature Matching.Anil Armagan, Martin Hirzer, Peter M. Roth, Vincent Lepetit
2017BMVCEfficient 3D Tracking in Urban Environments with Semantic Segmentation.Martin Hirzer, Peter M. Roth, Vincent Lepetit
2017BMVCAdaptive Local Contrast Normalization for Robust Object Detection and Pose Estimation.Mahdi Rad, Vincent Lepetit, Peter M. Roth
2017CVPRLearning to Align Semantic Segmentation and 2.5D Maps for Geolocalization.Anil Armagan, Martin Hirzer, Peter M. Roth, Vincent Lepetit
2017ISMARLearning Lightprobes for Mixed Reality Illumination.David Mandl, Kwang Moo Yi, Peter Mohr, Peter M. Roth, Pascal Fua, Vincent Lepetit, Dieter Schmalstieg, Denis Kalkofen
2014CVPROcclusion Geodesics for Online Multi-object Tracking.Horst Possegger, Thomas Mauthner, Peter M. Roth, Horst Bischof
2014CVPRAccurate Object Detection with Joint Classification-Regression Random Forests.Samuel Schulter, Christian Leistner, Paul Wohlhart, Peter M. Roth, Horst Bischof
2013BMVCUnsupervised Object Discovery and Segmentation in Videos.Samuel Schulter, Christian Leistner, Peter M. Roth, Horst Bischof
2013CVPRRobust Real-Time Tracking of Multiple Objects by Volumetric Mass Densities.Horst Possegger, Sabine Sternig, Thomas Mauthner, Peter M. Roth, Horst Bischof
2013CVPRAlternating Decision Forests.Samuel Schulter, Paul Wohlhart, Christian Leistner, Amir Saffari, Peter M. Roth, Horst Bischof
2013CVPROptimizing 1-Nearest Prototype Classifiers.Paul Wohlhart, Martin Kstinger, Michael Donoser, Peter M. Roth, Horst Bischof
2013ICCVJoint Learning of Discriminative Prototypes and Large Margin Nearest Neighbor Classifiers.Martin Kstinger, Paul Wohlhart, Peter M. Roth, Horst Bischof
2013ICCVAlternating Regression Forests for Object Detection and Pose Estimation.Samuel Schulter, Christian Leistner, Paul Wohlhart, Peter M. Roth, Horst Bischof
2012ACCVDetecting Partially Occluded Objects with an Implicit Shape Model Random Field.Paul Wohlhart, Michael Donoser, Peter M. Roth, Horst Bischof
2012AVSSPerson Re-identification by Efficient Impostor-Based Metric Learning.Martin Hirzer, Peter M. Roth, Horst Bischof
2012BMVCDiscriminative Hough Forests for Object Detection.Paul Wohlhart, Samuel Schulter, Martin Kstinger, Peter M. Roth, Horst Bischof
2012CVPRLarge scale metric learning from equivalence constraints.Martin Kstinger, Martin Hirzer, Paul Wohlhart, Peter M. Roth, Horst Bischof
2012ECCVRelaxed Pairwise Learned Metric for Person Re-identification.Martin Hirzer, Peter M. Roth, Martin Kstinger, Horst Bischof
2012ECCVLearn to Move: Activity Specific Motion Models for Tracking by Detection.Thomas Mauthner, Peter M. Roth, Horst Bischof
2012ECCVHough Regions for Joining Instance Localization and Segmentation.Hayko Riemenschneider, Sabine Sternig, Michael Donoser, Peter M. Roth, Horst Bischof
2012ICIPDense appearance modeling and efficient learning of camera transitions for person re-identification.Martin Hirzer, Csaba Beleznai, Martin Kstinger, Peter M. Roth, Horst Bischof
2011AVSSAVSS 2011 demo session: OUTLIER - online learning and visualization of unusual events.Josef A. Birchbauer, Samuel Schulter, Ren Schuster, Georg Poier, Martin Winter, Peter Schallauer, Peter M. Roth, Horst Bischof
2011AVSSLearning to recognize faces from videos and weakly related information cues.Martin Kstinger, Paul Wohlhart, Peter M. Roth, Horst Bischof
2011AVSSNext-generation 3D visualization for visual surveillance.Peter M. Roth, Volker Settgast, Peter Widhalm, Marcel Lancelle, Josef A. Birchbauer, Norbert Brndle, Sven Havemann, Horst Bischof
2011BMVCOn-line Hough Forests.Samuel Schulter, Christian Leistner, Peter M. Roth, Horst Bischof, Luc Van Gool
2011ICCVHough-based tracking of non-rigid objects.Martin Godec, Peter M. Roth, Horst Bischof
2010ACCVTemporal Feature Weighting for Prototype-Based Action Recognition.Thomas Mauthner, Peter M. Roth, Horst Bischof
2010AVSSAutomatic Detection and Reading of Dangerous Goods Plates.Peter M. Roth, Martin Kstinger, Paul Wohlhart, Horst Bischof, Josef A. Birchbauer
2010AVSSLearning of Scene-Specific Object Detectors by Classifier Co-Grids.Sabine Sternig, Peter M. Roth, Horst Bischof
2010CVPRContext-driven clustering by multi-class classification in an active learning framework.Martin Godec, Sabine Sternig, Peter M. Roth, Horst Bischof
2010CVPRMultiple instance learning from multiple cameras.Peter M. Roth, Christian Leistner, Armin Berger, Horst Bischof
2010CVPRTransientBoost: On-line boosting with transient data.Sabine Sternig, Martin Godec, Peter M. Roth, Horst Bischof
2010ICPRInverse Multiple Instance Learning for Classifier Grids.Sabine Sternig, Peter M. Roth, Horst Bischof
2009ACCVSemantic Classification in Aerial Imagery by Integrating Appearance and Height Information.Stefan Kluckner, Thomas Mauthner, Peter M. Roth, Horst Bischof
2009BMVCSemantic Image Classification using Consistent Regions and Individual Context.Stefan Kluckner, Thomas Mauthner, Peter M. Roth, Horst Bischof
2009CVPRClassifier grids for robust adaptive object detection.Peter M. Roth, Sabine Sternig, Helmut Grabner, Horst Bischof
2008CVPRActive sampling via tracking.Peter M. Roth, Horst Bischof
2007BMVCIncremental LDA Learning by Combining Reconstructive and Discriminative Approaches.Martina Uray, Danijel Skocaj, Peter M. Roth, Horst Bischof, Ales Leonardis
2007CVPREigenboosting: Combining Discriminative and Generative Information.Helmut Grabner, Peter M. Roth, Horst Bischof