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.

Youtube Channel
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News
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2016/12/16: New Open Student Position: LIDAR Metrology Tooling

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2016/12/01: New Open Student Position: Robotic Charging of Electric Vehicles

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2016/07/15: 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.