David Ferstl

According to our database, David Ferstl authored at least 14 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation.

Yang Hai, Rui Song, Jiaojiao Li, David Ferstl, Yinlin Hu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning.

Weizhe Liu, David Ferstl, Samuel Schulter, Lukas Zebedin, Pascal Fua, Christian Leistner

CoRR, 2021

Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank.

Iñigo Alonso, Alberto Sabater, David Ferstl, Luis Montesano, Ana C. Murillo

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2016

Depth data fusion for simultaneous localization and mapping - RGB-DD SLAM.

Krzysztof Walas, Michal Nowicki, David Ferstl, Piotr Skrzypczynski

Proceedings of the 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2016

A Deep Primal-Dual Network for Guided Depth Super-Resolution.

Gernot Riegler, David Ferstl, Matthias Rüther, Horst Bischof

Proceedings of the British Machine Vision Conference 2016, 2016

2015

A Framework for Articulated Hand Pose Estimation and Evaluation.

Gernot Riegler, David Ferstl, Matthias Rüther, Horst Bischof

Proceedings of the Image Analysis - 19th Scandinavian Conference, 2015

Variational Depth Superresolution Using Example-Based Edge Representations.

David Ferstl, Matthias Rüther, Horst Bischof

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Learning Depth Calibration of Time-of-Flight Cameras.

David Ferstl, Christian Reinbacher, Gernot Riegler, Matthias Rüther, Horst Bischof

Proceedings of the British Machine Vision Conference 2015, 2015

2014

Hough Networks for Head Pose Estimation and Facial Feature Localization.

Gernot Riegler, David Ferstl, Matthias Rüther, Horst Bischof

Proceedings of the British Machine Vision Conference, 2014

CP-Census: A Novel Model for Dense Variational Scene Flow from RGB-D Data.

David Ferstl, Gernot Riegler, Matthias Rüther, Horst Bischof

Proceedings of the British Machine Vision Conference, 2014

aTGV-SF: Dense Variational Scene Flow through Projective Warping and Higher Order Regularization.

David Ferstl, Christian Reinbacher, Gernot Riegler, Matthias Rüther, Horst Bischof

Proceedings of the 2nd International Conference on 3D Vision, 2014

2013

Image Guided Depth Upsampling Using Anisotropic Total Generalized Variation.

David Ferstl, Christian Reinbacher, René Ranftl, Matthias Rüther, Horst Bischof

Proceedings of the IEEE International Conference on Computer Vision, 2013

Multi-modality depth map fusion using primal-dual optimization.

David Ferstl, René Ranftl, Matthias Rüther, Horst Bischof

Proceedings of the IEEE International Conference on Computational Photography, 2013

2012

Depth coded shape from focus.

Martin Lenz, David Ferstl, Matthias Rüther, Horst Bischof

Proceedings of the 2012 IEEE International Conference on Computational Photography, 2012