Peter M. Roth

发表

Online Learning of Person Detectors by Co-Training from Multiple Cameras

Horst Bischof, Helmut Grabner, Peter M. Roth, 2009, Multi-Camera Networks.

Classifier grids for robust adaptive object detection

Horst Bischof, Helmut Grabner, Peter M. Roth, 2009, CVPR.

L*ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained Visual Categorization

Peter M. Roth, Mina Basirat, P. Roth, 2019, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

Large scale metric learning from equivalence constraints

Horst Bischof, Peter M. Roth, Martin Köstinger, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Brain-Inspired Intelligent Systems for Daily Assistance

José García Rodríguez, Epaminondas Kapetanios, Kenneth Revett, 2019, Comput. Intell. Neurosci..

Learn to Move: Activity Specific Motion Models for Tracking by Detection

Thomas Mauthner, Horst Bischof, Peter M. Roth, 2012, ECCV Workshops.

Real-time Activity Repetition Detection

Thomas Mauthner, Horst Bischof, Markus Murschitz, 2012 .

Efficient Robust Active Appearance Model Fitting

Horst Bischof, Martin Urschler, Peter M. Roth, 2009, VISIGRAPP.

Mapping with Pléiades - End-to-End Workflow

Roland Perko, Johannes Raggam, Peter M. Roth, 2019, Remote. Sens..

Hough Forests Revisited: An Approach to Multiple Instance Tracking from Multiple Cameras

Horst Bischof, Peter M. Roth, Sabine Sternig, 2014, GCPR.

Self-calibrating laser-pointer's spotlight detection system for projection screen interaction

Muhammad Asif, Peter M. Roth, Inayatullah Khan, 2015, 2015 12th International Bhurban Conference on Applied Sciences and Technology (IBCAST).

Active Appearance Model Fitting under Occlusion using Fast-robust PCA

Horst Bischof, Martin Urschler, Peter M. Roth, 2009, VISAPP.

Learning to recognize faces from videos and weakly related information cues

Horst Bischof, Peter M. Roth, Martin Köstinger, 2011, 2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).

Semantic Image Classification using Consistent Regions and Individual Context

Thomas Mauthner, Horst Bischof, Stefan Kluckner, 2009, BMVC.

On-Line, Incremental Learning of a Robust Active Shape Model

Horst Bischof, Peter M. Roth, Axel Pinz, 2006, DAGM-Symposium.

Active sampling via tracking

Horst Bischof, Peter M. Roth, H. Bischof, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Next-generation 3D visualization for visual surveillance

Peter Widhalm, Horst Bischof, Norbert Brändle, 2011, 2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).

Patch augmentation: Towards efficient decision boundaries for neural networks pdf

Andreas Holzinger, Peter M. Roth, Marcus D. Bloice, 2019, ArXiv.

Efficient human action recognition by cascaded linear classifcation

Thomas Mauthner, Horst Bischof, Peter M. Roth, 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

PhD Thesis On-line Conservative Learning

Peter M. Roth, P. Roth, 2008 .

Learning from the Truth: Fully Automatic Ground Truth Generation for Training of Medical Deep Learning Networks

Markus Vincze, Robert Sablatnig, Peter M. Roth, 2019 .

Location Field Descriptors: Single Image 3D Model Retrieval in the Wild

Peter M. Roth, Vincent Lepetit, Alexander Grabner, 2019, 2019 International Conference on 3D Vision (3DV).

Multiple View Geometry in Remote Sensing: An Empirical Study Based on Pléiades Satellite Images

Peter M. Roth, Stefan Auer, Mathias Schardt, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild pdf

Peter Vajda, Peter M. Roth, Tong Xiao, 2020, ECCV.

Unsupervised Object Discovery and Segmentation in Videos

Horst Bischof, Peter M. Roth, Christian Leistner, 2013, BMVC.

Very High Resolution Mapping with the Pléiades Satellite Constellation

Mathias Schardt, Roland Perko, Peter M. Roth, 2018 .

Proceedings of the Joint Austrian Computer Vision and Robotics Workshop

Friedrich Fraundorfer, Peter M. Roth, Gerald Steinbauer, 2020 .

Multi-camera multi-object tracking by robust hough-based homography projections

Thomas Mauthner, Horst Bischof, Peter M. Roth, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

The Quest for the Golden Activation Function pdf

Peter M. Roth, Mina Basirat, P. Roth, 2018, ArXiv.

Ordinal Random Forests for Object Detection

Horst Bischof, Peter M. Roth, Samuel Schulter, 2013, GCPR.

Robust face detection by simple means

Horst Bischof, Peter M. Roth, Martin Köstinger, 2012 .

Hough Regions for Joining Instance Localization and Segmentation

Hayko Riemenschneider, Horst Bischof, Michael Donoser, 2012, ECCV.

Adaptive Local Contrast Normalization for Robust Object Detection and Pose Estimation

Vincent Lepetit, Mahdi Rad, Peter M. Roth, 2017, BMVC.

Efficient Classification for Large-scale Problems by Multiple LDA Subspaces

Horst Bischof, Martina Uray, Peter M. Roth, 2009, VISAPP.

Open Source Intelligence am Beispiel von KIRAS/MDL: Multimedia Documentation Lab

Gerald Quirchmayr, Werner Winiwarter, Peter M. Roth, 2011 .

A level set framework using a new incremental, robust Active Shape Model for object segmentation and tracking

Rachid Deriche, Horst Bischof, Peter M. Roth, 2009, Image Vis. Comput..

Machine Learning and Knowledge Extraction in Digital Pathology Needs an Integrative Approach

Andreas Holzinger, Peter Kieseberg, Peter M. Roth, 2015, BIRS-IMLKE.

Multi-cue learning and visualization of unusual events

Martin Winter, Horst Bischof, Peter Schallauer, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

Smart Hypothesis Generation for Efficient and Robust Room Layout Estimation

Vincent Lepetit, Peter M. Roth, Martin Hirzer, 2019, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

Accurate Object Detection with Joint Classification-Regression Random Forests

Horst Bischof, Peter M. Roth, Christian Leistner, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Mahalanobis Distance Learning for Person Re-identification

Horst Bischof, Peter M. Roth, Martin Köstinger, 2014, Person Re-Identification.

Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization

Horst Bischof, Peter M. Roth, Martin Köstinger, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

Visual on-line learning in distributed camera networks

Bernhard Rinner, Horst Bischof, Helmut Grabner, 2008, 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras.

Inverse Multiple Instance Learning for Classifier Grids

Horst Bischof, Peter M. Roth, Sabine Sternig, 2010, 2010 20th International Conference on Pattern Recognition.

Learning to Align Semantic Segmentation and 2.5D Maps for Geolocalization

Vincent Lepetit, Anil Armagan, Peter M. Roth, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Accurate Camera Registration in Urban Environments Using High-Level Feature Matching

Vincent Lepetit, Anil Armagan, Peter M. Roth, 2017, BMVC.

Dense appearance modeling and efficient learning of camera transitions for person re-identification

Horst Bischof, Peter M. Roth, Martin Köstinger, 2012, 2012 19th IEEE International Conference on Image Processing.

Segmentation-based tracking by support fusion

Horst Bischof, Peter M. Roth, Martin Godec, 2013, Comput. Vis. Image Underst..

Conservative Learning for Object Detectors

Horst Bischof, Peter M. Roth, H. Bischof, 2008, Machine Learning Techniques for Multimedia.

Proceedings of the OAGM Workshop 2018: Medical Image Analysis

Martin Welk, Martin Urschler, Peter M. Roth, 2018 .

On-line Learning a Person Model from Video Data

Horst Bischof, Peter M. Roth, 2006 .

On-line inverse multiple instance boosting for classifier grids

Horst Bischof, Peter M. Roth, Sabine Sternig, 2012, Pattern Recognit. Lett..

GP2C: Geometric Projection Parameter Consensus for Joint 3D Pose and Focal Length Estimation in the Wild

Peter M. Roth, Vincent Lepetit, Alexander Grabner, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Multiple instance learning from multiple cameras

Horst Bischof, Peter M. Roth, Christian Leistner, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.

Density-based rare event detection from streams of neuromorphic sensor data

Ahmed Nabil Belbachir, Peter M. Roth, Csaba Beleznai, 2012, 2012 Sixth International Conference on Distributed Smart Cameras (ICDSC).

On-line Hough Forests

Luc Van Gool, Horst Bischof, Peter M. Roth, 2011, BMVC.

Robust Real-Time Tracking of Multiple Objects by Volumetric Mass Densities

Thomas Mauthner, Horst Possegger, Horst Bischof, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

AVSS 2011 demo session: OUTLIER - online learning and visualization of unusual events

Martin Winter, Horst Bischof, Peter Schallauer, 2011, AVSS.

Alternating Decision Forests

Horst Bischof, Peter M. Roth, Christian Leistner, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Robust Adaptive Classifier Grids for Object Detection from Static Cameras

Horst Bischof, Helmut Grabner, Peter M. Roth, 2009 .

Hough-based tracking of non-rigid objects

Horst Bischof, Peter M. Roth, Martin Godec, 2011, 2011 International Conference on Computer Vision.

Text Localization in Unconstrained Images

Horst Bischof, Stefan Kluckner, Peter M. Roth, 2012 .

Efficient 3D Tracking in Urban Environments with Semantic Segmentation

Vincent Lepetit, Peter M. Roth, Martin Hirzer, 2017, BMVC.

Automatic Detection and Reading of Dangerous Goods Plates

Horst Bischof, Peter M. Roth, Martin Köstinger, 2010, 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance.

Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data

Christina Gsaxner, Jan Egger, Peter M. Roth, 2019, PloS one.

3D Camera Tracking in Unknown Environments by On-line Keypoint Learning

Horst Bischof, Peter M. Roth, Paul Wohlhart, 2010 .

Hough-Based Tracking of Deformable Objects

Horst Bischof, Peter M. Roth, Martin Godec, 2013 .

Tracking for Learning an Object Representation from Unlabeled Data

Horst Bischof, Michael Donoser, Peter M. Roth, 2006 .

Joint Learning of Discriminative Prototypes and Large Margin Nearest Neighbor Classifiers

Horst Bischof, Peter M. Roth, Martin Köstinger, 2013, 2013 IEEE International Conference on Computer Vision.

TransientBoost: On-line boosting with transient data

Horst Bischof, Peter M. Roth, Sabine Sternig, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.

Occlusion Geodesics for Online Multi-object Tracking

Thomas Mauthner, Horst Possegger, Horst Bischof, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Unsupervised Calibration of Camera Networks an Virtual PTZ Cameras

Thomas Mauthner, Horst Possegger, Horst Bischof, 2012 .

Incremental LDA Learning by Combining Reconstructive and Discriminative Approaches

Horst Bischof, Danijel Skocaj, Ales Leonardis, 2007, BMVC.

Relaxed Pairwise Learned Metric for Person Re-identification

Horst Bischof, Peter M. Roth, Martin Köstinger, 2012, ECCV.

ALCN: Meta-Learning for Contrast Normalization Applied to Robust 3D Pose Estimation pdf

Vincent Lepetit, Mahdi Rad, Peter M. Roth, 2017, ArXiv.

Alternating Regression Forests for Object Detection and Pose Estimation

Horst Bischof, Peter M. Roth, Christian Leistner, 2013, 2013 IEEE International Conference on Computer Vision.

Learning Object Detectors in Stationary Environments

Horst Bischof, Peter M. Roth, Sabine Sternig, 2013, Advanced Topics in Computer Vision.

Discriminative Hough Forests for Object Detection

Horst Bischof, Peter M. Roth, Martin Köstinger, 2012, BMVC.

ALCN: Adaptive Local Contrast Normalization

Mahdi Rad, Peter M. Roth, Vincent Lepetit, 2020, Comput. Vis. Image Underst..

Hough-based tracking of non-rigid objects

Horst Bischof, Peter M. Roth, Martin Godec, 2013, Comput. Vis. Image Underst..

Performing Arithmetic Using a Neural Network Trained on Digit Permutation Pairs

Peter M. Roth, Marcus D. Bloice, Andreas Holzinger, 2020, ISMIS.

Optimizing 1-Nearest Prototype Classifiers

Horst Bischof, Michael Donoser, Peter M. Roth, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Multimedia Documentation Lab

Gerald Quirchmayr, Werner Winiwarter, Peter M. Roth, 2010 .

Semantic Classification in Aerial Imagery by Integrating Appearance and Height Information

Thomas Mauthner, Horst Bischof, Stefan Kluckner, 2009, ACCV.

Towards the Augmented Pathologist: Challenges of Explainable-AI in Digital Pathology pdf

Andreas Holzinger, Peter Kieseberg, Peter M. Roth, 2017, ArXiv.

Classifier grids for robust adaptive object detection

Horst Bischof, Helmut Grabner, Peter M. Roth, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

3D Localization in Urban Environments from Single Images

Vincent Lepetit, Anil Armagan, Peter M. Roth, 2017 .

Person Re-identification by Descriptive and Discriminative Classification

Horst Bischof, Peter M. Roth, Martin Hirzer, 2011, SCIA.

Pedestrian Detection, Tracking and Re-Identification for Search in Visual Surveillance Data

Peter M. Roth, Martin Hirzer, Csaba Beleznai, 2013 .

Detecting Partially Occluded Objects with an Implicit Shape Model Random Field

Horst Bischof, Michael Donoser, Peter M. Roth, 2012, ACCV.

Context-driven clustering by multi-class classification in an active learning framework

Horst Bischof, Peter M. Roth, Sabine Sternig, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.

Learning Person Detectors from Multiple Cameras

Horst Bischof, Peter M. Roth, Christian Leistner, 2010 .

Efficient Retrieval for Large Scale Metric Learning

Horst Bischof, Peter M. Roth, Martin Köstinger, 2013, GCPR.

Proceedings of the Computer Vision Winter Workshop 2019

Friedrich Fraundorfer, Fabian Schenk, Peter M. Roth, 2019 .

Learning of Scene-Specific Object Detectors by Classifier Co-Grids

Horst Bischof, Peter M. Roth, Sabine Sternig, 2010, 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance.

Efficient Object Detection Using Orthogonal NMF Descriptor Hierarchies

Thomas Mauthner, Horst Bischof, Stefan Kluckner, 2010, DAGM-Symposium.

Learning Face Recognition in Videos from Associated Information Sources

Horst Bischof, Peter M. Roth, Martin Köstinger, 2011 .

Multiple Instance Boosting for Face Recognition in Videos

Horst Bischof, Peter M. Roth, Martin Köstinger, 2011, DAGM-Symposium.

Conservative Visual Learning for Object Detection with Minimal Hand Labeling Effort

Horst Bischof, Danijel Skocaj, Ales Leonardis, 2005, DAGM-Symposium.

On robustness of on-line boosting - a competitive study

Horst Bischof, Peter M. Roth, Christian Leistner, 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

Robust Object Detection by Classifier Cubes and Local Verification

Hayko Riemenschneider, Horst Bischof, Michael Donoser, 2010 .

PET-Train: Automatic Ground Truth Generation from PET Acquisitions for Urinary Bladder Segmentation in CT Images using Deep Learning

Antonio Pepe, Christina Gsaxner, Jürgen Wallner, 2018, 2018 11th Biomedical Engineering International Conference (BMEiCON).

Person Re-identification by Efficient Impostor-Based Metric Learning

Horst Bischof, Peter M. Roth, Martin Hirzer, 2012, 2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance.

Fast-Robust PCA

Horst Bischof, Martin Urschler, Peter M. Roth, 2009, SCIA.

Learning Task-specific Activation Functions using Genetic Programming

Peter M. Roth, Mina Basirat, P. Roth, 2019, VISIGRAPP.

Efficient 3D Pose Estimation and 3D Model Retrieval

Vincent Lepetit, Peter M. Roth, Alexander Grabner, 2018 .

Learning Lightprobes for Mixed Reality Illumination

Vincent Lepetit, Pascal Fua, Dieter Schmalstieg, 2017, 2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR).

Instant Action Recognition

Thomas Mauthner, Horst Bischof, Peter M. Roth, 2009, SCIA.

3D Pose Estimation and 3D Model Retrieval for Objects in the Wild

Vincent Lepetit, Peter M. Roth, Alexander Grabner, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Synergy-Based Learning of Facial Identity

Horst Bischof, Peter M. Roth, Martin Köstinger, 2012, DAGM/OAGM Symposium.

On-line Learning of Unknown Hand Held Objects via Tracking

Horst Bischof, Michael Donoser, Peter M. Roth, 2006 .

Temporal Feature Weighting for Prototype-Based Action Recognition

Thomas Mauthner, Horst Bischof, Peter M. Roth, 2010, ACCV.

Eigenboosting: Combining Discriminative and Generative Information

Horst Bischof, Helmut Grabner, Peter M. Roth, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Neural Cameras: Learning Camera Characteristics for Coherent Mixed Reality Rendering

Stefanie Zollmann, Denis Kalkofen, Tobias Langlotz, 2021, 2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR).

Performing arithmetic using a neural network trained on images of digit permutation pairs

Andreas Holzinger, Peter M. Roth, Marcus D. Bloice, 2021, J. Intell. Inf. Syst..

Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations pdf

Dieter Schmalstieg, Antonio Pepe, Jan Egger, 2021, ArXiv.

S*ReLU: Learning Piecewise Linear Activation Functions via Particle Swarm Optimization

Peter M. Roth, Mina Basirat, 2021, VISIGRAPP.

Critical Aspects of Person Counting and Density Estimation

Alexander Almer, Roland Perko, Peter M. Roth, 2021, J. Imaging.

Protocol Design Issues for Object Density Estimation and Counting in Remote Sensing

Alexander Almer, Roland Perko, Peter M. Roth, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

A Geometric Perspective on Information Plane Analysis

Bernhard C. Geiger, Peter M. Roth, Mina Basirat, 2021, Entropy.

Semi-supervised image classification with huberized Laplacian Support Vector Machines

Horst Bischof, Abdul Bais, Peter M. Roth, 2013, 2013 IEEE 9th International Conference on Emerging Technologies (ICET).

Planar Trademark and Logo Retrieval

Horst Bischof, Peter M. Roth, Martin Köstinger, 2013 .

INTERACTIVE LEARNING A PERSON DETECTOR : FEWER CLICKS – LESS FRUSTRATION 1

Martin Winter, Horst Bischof, Helmut Grabner, 2008 .