Gernot Riegler
I am a fourth year PhD student and an university assistant at the Institute for Computer Graphics and Vision at Graz University of Technology, Austria. My supervisor is Prof. Horst Bischof. I received my BSc and MSc degrees in Computer Science in 2011 and 2013 from Graz University of Technology, respectively. Currently, my research focuses on deep learning and its application to low-level vision, 3D, and pose estimation. In my role as university assistant I am also responsible for two master courses and one seminar on computer vision.
News & Highlights
July 2016 |
Our paper A Deep Primal-Dual Network for Guided Depth Super-Resolution has been accepted for oral presentation at the British Machine Vision Conference 2016 held at the University of York, United Kingdom. |
July 2016 |
Our paper ATGV-Net: Accurate Depth Superresolution has been accepted at the European Conference on Computer Vision 2016 in Amsterdam, The Netherlands. |
July - December 2016 |
I am interning at Max Planck Institute for Intelligent Systems, Autonomous Vision Group lead by Andreas Geiger |
October 2015 |
Our paper Anatomical landmark detection in medical applications driven by synthetic data has been accepted at the IEEE International Conference on Computer Vision 2015 workshop on transferring and adapting source knowledge in computer vision. |
September 2015 |
Our paper Conditioned Regression Models for Non-Blind Single Image Super-Resolution has been accepted at the IEEE International Conference on Computer Vision 2015, December 13-16, Santiago, Chile. |
July 2015 |
Our Paper Depth Restoration via Joint Training of a Global Regression Model and CNNs has been accepted as a poster presentation at the 26th British Machine Vision Conference, September 7-10, Swansea, United Kingdom. |
March 2015 |
Our Paper A Framework for Articulated Hand Pose Estimation and Evaluation has been accepted as an oral presentation at the 19th Scandinavian Conference on Image Analysis, June 15-17, Copenhagen, Denmark. |
July 2014 |
Our Paper Hough Networks for Head Pose Estimation and Facial Feature Localization has been accepted as a poster presentation at this years British Machine Vision Conference (BMVC 2014), September 1-5, Nottingham, United Kingdom. |
Publications
A full list of my publications can be found in PURE. You can also find me on Google Scholar, and my private webpage.
Robot Vision
Youtube Channel
News
2016/12/16: New Open Student Position: LIDAR Metrology Tooling
--> Learn More2016/12/01: New Open Student Position: Robotic Charging of Electric Vehicles
--> Learn More2016/07/15: Accepted to BMVC 2016
Our paper "A Deep Primal-Dual Network for Guided Depth Super-Resolution" has been accepted for oral presentation at the British Machine Vision Conference 2016 held at the University of York, United Kingdom.
2016/07/11: Accepted to ECCV 2016
Our paper "ATGV-Net: Accurate Depth Superresolution" has been accepted at the European Conference on Computer Vision 2016 in Amsterdam, The Netherlands.
2015/10/07: Accepted to ICCV 2015 Workshop: TASK-CV
Our paper "Anatomical landmark detection in medical applications driven by synthetic data" has been accepted at the IEEE International Conference on Computer Vision 2015 workshop on transferring and adapting source knowledge in computer vision.
2015/09/14: Camera calibration code online
The camera calibration toolbox accompanying our paper "Learning Depth Calibration of Time-of-Flight Cameras" is available here.
2015/09/07: Accepted to ICCV 2015
Our papers "Variational Depth Superresolution using Example-Based Edge Representations" and "Conditioned Regression Models for Non-Blind Single Image Super-Resolution" have been accepted at the IEEE International Conference on Computer Vision 2015, December 13-16, Santiago, Chile.
2015/07/03: Accepted to BMVC 2015
Our papers "Depth Restoration via Joint Training of a Global Regression Model and CNNs" and "Learning Depth Calibration of Time-of-Flight Cameras" have been accepted as a poster presentation at the 26th British Machine Vision Conference, September 7-10, Swansea, United Kingdom.