Peter Kontschieder

Orcid: 0000-0002-9809-664X

According to our database1, Peter Kontschieder authored at least 44 papers between 2009 and 2023.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2023
GANeRF: Leveraging Discriminators to Optimize Neural Radiance Fields.
ACM Trans. Graph., December, 2023

HybridNeRF: Efficient Neural Rendering via Adaptive Volumetric Surfaces.
CoRR, 2023

Dense Prediction with Attentive Feature Aggregation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

VR-NeRF: High-Fidelity Virtualized Walkable Spaces.
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Panoptic Lifting for 3D Scene Understanding with Neural Fields.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

OrienterNet: Visual Localization in 2D Public Maps with Neural Matching.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DiffRF: Rendering-Guided 3D Radiance Field Diffusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Disentangling Monocular 3D Object Detection: From Single to Multi-Class Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

AutoRF: Learning 3D Object Radiance Fields from Single View Observations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Dense Prediction with Attentive Feature Aggregation.
CoRR, 2021

Weakly Supervised Multi-Object Tracking and Segmentation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision Workshops, 2021

Are we Missing Confidence in Pseudo-LiDAR Methods for Monocular 3D Object Detection?
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Improving Panoptic Segmentation at All Scales.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Demystifying Pseudo-LiDAR for Monocular 3D Object Detection.
CoRR, 2020

Towards Generalization Across Depth for Monocular 3D Object Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Mapillary Planet-Scale Depth Dataset.
Proceedings of the Computer Vision - ECCV 2020, 2020

Improving Optical Flow on a Pyramid Level.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Multi-Object Tracking and Segmentation From Automatic Annotations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
The Five Elements of Flow.
CoRR, 2019

Single-Stage Monocular 3D Object Detection with Virtual Cameras.
CoRR, 2019

Disentangling Monocular 3D Object Detection.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Seamless Scene Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Loss Max-Pooling for Semantic Image Segmentation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Assessing Multiple Sclerosis With Kinect: Designing Computer Vision Systems for Real-World Use.
Hum. Comput. Interact., 2016

Decision Forests, Convolutional Networks and the Models in-Between.
CoRR, 2016

Dropout distillation.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Online Learning with Bayesian Classification Trees.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Setwise Comparison: Consistent, Scalable, Continuum Labels for Computer Vision.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015
Deep Neural Decision Forests.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Structured Labels in Random Forests for Semantic Labelling and Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Quantifying Progression of Multiple Sclerosis via Classification of Depth Videos.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Neural Decision Forests for Semantic Image Labelling.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
GeoF: Geodesic Forests for Learning Coupled Predictors.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Evolutionary Hough Games for coherent object detection.
Comput. Vis. Image Underst., 2012

Context-Sensitive Decision Forests for Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Structured Local Predictors for image labelling.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Robust planar target tracking and pose estimation from a single concavity.
Proceedings of the 10th IEEE International Symposium on Mixed and Augmented Reality, 2011

Structured class-labels in random forests for semantic image labelling.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Discriminative Learning of Contour Fragments for Object Detection.
Proceedings of the British Machine Vision Conference, 2011

Semantic Image Labelling as a Label Puzzle Game.
Proceedings of the British Machine Vision Conference, 2011

2010
Detecting Paper Fibre Cross Sections in Microtomy Images.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
Beyond Pairwise Shape Similarity Analysis.
Proceedings of the Computer Vision, 2009


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