Peter M. Roth

According to our database1, Peter M. Roth authored at least 95 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations.
Comput. Biol. Medicine, October, 2023

2022
Counting Everything in Remote Sensing - the Need for Benchmarks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Critical Aspects of Person Counting and Density Estimation.
J. Imaging, 2021

Performing arithmetic using a neural network trained on images of digit permutation pairs.
J. Intell. Inf. Syst., 2021

A Geometric Perspective on Information Plane Analysis.
Entropy, 2021

S*ReLU: Learning Piecewise Linear Activation Functions via Particle Swarm Optimization.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Neural Cameras: Learning Camera Characteristics for Coherent Mixed Reality Rendering.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2021

Protocol Design Issues for Object Density Estimation and Counting in Remote Sensing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
ALCN: Adaptive Local Contrast Normalization.
Comput. Vis. Image Underst., 2020

Smart Hypothesis Generation for Efficient and Robust Room Layout Estimation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

L*ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained Visual Categorization.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Performing Arithmetic Using a Neural Network Trained on Digit Permutation Pairs.
Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020

Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Mapping with Pléiades - End-to-End Workflow.
Remote. Sens., 2019

Patch augmentation: Towards efficient decision boundaries for neural networks.
CoRR, 2019

Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data.
CoRR, 2019

Brain-Inspired Intelligent Systems for Daily Assistance.
Comput. Intell. Neurosci., 2019

Biomedical image augmentation using Augmentor.
Bioinform., 2019

Learning Task-specific Activation Functions using Genetic Programming.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Multiple View Geometry in Remote Sensing: An Empirical Study Based on Pléiades Satellite Images.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

GP2C: Geometric Projection Parameter Consensus for Joint 3D Pose and Focal Length Estimation in the Wild.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Location Field Descriptors: Single Image 3D Model Retrieval in the Wild.
Proceedings of the 2019 International Conference on 3D Vision, 2019

2018
The Quest for the Golden Activation Function.
CoRR, 2018

3D Pose Estimation and 3D Model Retrieval for Objects in the Wild.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Towards the Augmented Pathologist: Challenges of Explainable-AI in Digital Pathology.
CoRR, 2017

ALCN: Meta-Learning for Contrast Normalization Applied to Robust 3D Pose Estimation.
CoRR, 2017

Learning Lightprobes for Mixed Reality Illumination.
Proceedings of the 2017 IEEE International Symposium on Mixed and Augmented Reality, 2017

Learning to Align Semantic Segmentation and 2.5D Maps for Geolocalization.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Adaptive Local Contrast Normalization for Robust Object Detection and Pose Estimation.
Proceedings of the British Machine Vision Conference 2017, 2017

Efficient 3D Tracking in Urban Environments with Semantic Segmentation.
Proceedings of the British Machine Vision Conference 2017, 2017

Accurate Camera Registration in Urban Environments Using High-Level Feature Matching.
Proceedings of the British Machine Vision Conference 2017, 2017

2015
Machine Learning and Knowledge Extraction in Digital Pathology Needs an Integrative Approach.
Proceedings of the Towards Integrative Machine Learning and Knowledge Extraction, 2015

2014
Mahalanobis Distance Learning for Person Re-identification.
Proceedings of the Person Re-Identification, 2014

Hough Forests Revisited: An Approach to Multiple Instance Tracking from Multiple Cameras.
Proceedings of the Pattern Recognition - 36th German Conference, 2014

Accurate Object Detection with Joint Classification-Regression Random Forests.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Occlusion Geodesics for Online Multi-object Tracking.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Learning Object Detectors in Stationary Environments.
Proceedings of the Advanced Topics in Computer Vision, 2013

Segmentation-based tracking by support fusion.
Comput. Vis. Image Underst., 2013

Hough-based tracking of non-rigid objects.
Comput. Vis. Image Underst., 2013

Alternating Regression Forests for Object Detection and Pose Estimation.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Joint Learning of Discriminative Prototypes and Large Margin Nearest Neighbor Classifiers.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Ordinal Random Forests for Object Detection.
Proceedings of the Pattern Recognition - 35th German Conference, 2013

Efficient Retrieval for Large Scale Metric Learning.
Proceedings of the Pattern Recognition - 35th German Conference, 2013

Optimizing 1-Nearest Prototype Classifiers.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Alternating Decision Forests.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Robust Real-Time Tracking of Multiple Objects by Volumetric Mass Densities.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Unsupervised Object Discovery and Segmentation in Videos.
Proceedings of the British Machine Vision Conference, 2013

2012
On-line inverse multiple instance boosting for classifier grids.
Pattern Recognit. Lett., 2012

Dense appearance modeling and efficient learning of camera transitions for person re-identification.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Density-based rare event detection from streams of neuromorphic sensor data.
Proceedings of the Sixth International Conference on Distributed Smart Cameras, 2012

Hough Regions for Joining Instance Localization and Segmentation.
Proceedings of the Computer Vision - ECCV 2012, 2012

Learn to Move: Activity Specific Motion Models for Tracking by Detection.
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Relaxed Pairwise Learned Metric for Person Re-identification.
Proceedings of the Computer Vision - ECCV 2012, 2012

Synergy-Based Learning of Facial Identity.
Proceedings of the Pattern Recognition, 2012

Large scale metric learning from equivalence constraints.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Discriminative Hough Forests for Object Detection.
Proceedings of the British Machine Vision Conference, 2012

Person Re-identification by Efficient Impostor-Based Metric Learning.
Proceedings of the Ninth IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2012

Detecting Partially Occluded Objects with an Implicit Shape Model Random Field.
Proceedings of the Computer Vision - ACCV 2012, 2012

2011
Person Re-identification by Descriptive and Discriminative Classification.
Proceedings of the Image Analysis - 17th Scandinavian Conference, 2011

Multi-camera multi-object tracking by robust hough-based homography projections.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Multi-cue learning and visualization of unusual events.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Multiple Instance Boosting for Face Recognition in Videos.
Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011

On-line Hough Forests.
Proceedings of the British Machine Vision Conference, 2011

Next-generation 3D visualization for visual surveillance.
Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011

Learning to recognize faces from videos and weakly related information cues.
Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011

AVSS 2011 demo session: OUTLIER - online learning and visualization of unusual events.
Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011

2010
Inverse Multiple Instance Learning for Classifier Grids.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Efficient Object Detection Using Orthogonal NMF Descriptor Hierarchies.
Proceedings of the Pattern Recognition, 2010

TransientBoost: On-line boosting with transient data.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

Multiple instance learning from multiple cameras.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

Context-driven clustering by multi-class classification in an active learning framework.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

Learning of Scene-Specific Object Detectors by Classifier Co-Grids.
Proceedings of the Seventh IEEE International Conference on Advanced Video and Signal Based Surveillance, 2010

Automatic Detection and Reading of Dangerous Goods Plates.
Proceedings of the Seventh IEEE International Conference on Advanced Video and Signal Based Surveillance, 2010

Temporal Feature Weighting for Prototype-Based Action Recognition.
Proceedings of the Computer Vision - ACCV 2010, 2010

2009
A level set framework using a new incremental, robust Active Shape Model for object segmentation and tracking.
Image Vis. Comput., 2009

Efficient Classification for Large-scale Problems by Multiple LDA Subspaces.
Proceedings of the VISAPP 2009 - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, February 5-8, 2009, 2009

Efficient Robust Active Appearance Model Fitting.
Proceedings of the Computer Vision, Imaging and Computer Graphics. Theory and Applications, 2009

Active Appearance Model Fitting under Occlusion using Fast-robust PCA.
Proceedings of the VISAPP 2009 - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, February 5-8, 2009, 2009

Fast-Robust PCA.
Proceedings of the Image Analysis, 16th Scandinavian Conference, 2009

Instant Action Recognition.
Proceedings of the Image Analysis, 16th Scandinavian Conference, 2009

Efficient human action recognition by cascaded linear classification.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

On robustness of on-line boosting - a competitive study.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Classifier grids for robust adaptive object detection.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Semantic Image Classification using Consistent Regions and Individual Context.
Proceedings of the British Machine Vision Conference, 2009

Semantic Classification in Aerial Imagery by Integrating Appearance and Height Information.
Proceedings of the Computer Vision, 2009

Online Learning of Person Detectors by Co-Training from Multiple Cameras.
Proceedings of the Multi-Camera Networks, 2009

2008
Conservative Learning for Object Detectors.
Proceedings of the Machine Learning Techniques for Multimedia, 2008

Visual on-line learning in distributed camera networks.
Proceedings of the 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras, 2008

Active sampling via tracking.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

2007
Eigenboosting: Combining Discriminative and Generative Information.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Incremental LDA Learning by Combining Reconstructive and Discriminative Approaches.
Proceedings of the British Machine Vision Conference 2007, 2007

2006
On-Line, Incremental Learning of a Robust Active Shape Model.
Proceedings of the Pattern Recognition, 2006

2005
Conservative Visual Learning for Object Detection with Minimal Hand Labeling Effort.
Proceedings of the Pattern Recognition, 27th DAGM Symposium, Vienna, Austria, August 31, 2005


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