P. Roth

发表

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).

Action Recognition from a Small Number of Frames

H. Bischof, P. Roth, T. Mauthner, 2009 .

Autonomous Learning of a Robust Background Model for Change Detection ∗

H. Grabner, H. Bischof, P. Roth, 2006 .

Semantic Classification in Aerial Imagery by Integrating Appearance and Height Information

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

Is Pedestrian Detection Really a Hard Task ? ∗

H. Grabner, H. Bischof, P. Roth, 2007 .

Alternating Decision Forests

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

Alternating Regression Forests for Object Detection and Pose Estimation

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

SURVEY OF APPEARANCE-BASED METHODS FOR OBJECT RECOGNITION

P. Roth, M. Winter, 2008 .

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.

Detecting Partially Occluded Objects with an Implicit Shape Model Random Field

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

Large scale metric learning from equivalence constraints

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

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).

Object Detection with Bootstrapped Learning ∗

A. Leonardis, H. Bischof, P. Roth, 2005 .

Loss-Specific Training of Random Forests for Super-Resolution

P. Roth, S. Schulter, Michael Opitz, 2017 .

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

Martin Winter, Horst Bischof, Helmut Grabner, 2008 .

2 . Off-line and On-line Boosting for Feature Selection 2

H. Grabner, C. Leistner, H. Bischof, 2008 .

Localization in Urban Environments from Single Images *

V. Lepetit, P. Roth, Martin Hirzer, 2017 .

Incremental Robust Learning an Active Shape Model

H. Bischof, P. Roth, A. Pinz, 2006 .

Localization in Unconstrained Images

P. Roth, Stefan Kluckner, Georg Poier, 2012 .

Conservative learning for learning object detectors ?

H. Bischof, P. Roth, 2008 .

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

Paul Wohlhart, H. Bischof, P. Roth, 2010 .

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.

Efficient 3D Pose Estimation and 3D Model Retrieval

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

Adaptive Local Contrast Normalization for Robust Object Detection and Pose Estimation

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

Classifier grids for robust adaptive object detection

H. Grabner, H. Bischof, P. Roth, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Robust Person Detection by Classifier Cubes and Local Verification ∗

H. Bischof, P. Roth, Hayko Riemenschneider, 2010 .

Proceedings of the OAGM Workshop 2018: Medical Image Analysis

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

Proceedings of the Computer Vision Winter Workshop 2019

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

Proceedings of the Joint Austrian Computer Vision and Robotics Workshop

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

Synergy-Based Learning of Facial Identity

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

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).

PhD Thesis On-line Conservative Learning

Peter M. Roth, P. Roth, 2008 .

Text Localization in Unconstrained Images

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

The Quest for the Golden Activation Function pdf

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

Biomedical image augmentation using Augmentor

Andreas Holzinger, Marcus D. Bloice, Marcus D Bloice, 2019, Bioinform..

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

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

Person Re-identification by Descriptive and Discriminative Classification

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

Hough Regions for Joining Instance Localization and Segmentation

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

Efficient Classification for Large-scale Problems by Multiple LDA Subspaces

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

Active sampling via tracking

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

Mapping with Pléiades - End-to-End Workflow

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

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.

ALCN: Adaptive Local Contrast Normalization

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

OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data

H. Bischof, P. Roth, Horst Possegger, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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.

Hough-based tracking of non-rigid objects

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

Eigenboosting: Combining Discriminative and Generative Information

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

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).

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.

Efficient Object Detection Using Orthogonal NMF Descriptor Hierarchies

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

Occlusion Geodesics for Online Multi-object Tracking

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

Relaxed Pairwise Learned Metric for Person Re-identification

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

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).

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

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

Single Image Defogging Algorithm based on Dark Channel Priority

Peter Roth, Zhen Chen, Jihong Shen, 2013, J. Multim..

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).

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

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

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.

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..

On-line inverse multiple instance boosting for classifier grids

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

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.

On-line Conservative Learning for Person Detection

A. Leonardis, D. Skocaj, P.M. Roth, 2005, 2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance.

Conservative Visual Learning for Object Detection with Minimal Hand Labeling Effort

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

Learning Object Detectors in Stationary Environments

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

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

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

Conservative Learning for Object Detectors

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

Tracking for Learning an Object Representation from Unlabeled Data

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

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.

Mahalanobis Distance Learning for Person Re-identification

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

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.

Learning Task-specific Activation Functions using Genetic Programming

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

Learning Lightprobes for Mixed Reality Illumination

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

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

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

Fast-Robust PCA

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

Efficient Robust Active Appearance Model Fitting

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

Active Appearance Model Fitting under Occlusion using Fast-robust PCA

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

Incremental LDA Learning by Combining Reconstructive and Discriminative Approaches

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

Optimizing 1-Nearest Prototype Classifiers

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

Segmentation-based tracking by support fusion

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

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).

A Geometric Perspective on Information Plane Analysis

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

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).

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).

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).

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

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

Temporal Feature Weighting for Prototype-Based Action Recognition

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

Real-time Activity Repetition Detection

Thomas Mauthner, Horst Bischof, Markus Murschitz, 2012 .

Patch augmentation: Towards efficient decision boundaries for neural networks pdf

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

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

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

Efficient 3D Tracking in Urban Environments with Semantic Segmentation

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

Multimedia Documentation Lab

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