René Schuster

E-Mail:	rene.schuster@dfki.de
Position:	Researcher
Phone:	+49 631 20575-3605

About:

René Schuster received a master degree in Computational Engineering from the Technical University of Darmstadt, where he was student assistant at the Visual Inference Group.
His master thesis for the Robert Bosch GmbH was about 3D vehicle detection based on motion and geometry.
In 2017 he joined the Augmented Vision Department of the German Research Center for Artifical Intelligence where he is currently focussing his research on Scene Flow algorithms for automotive applications.

10 Publications by René Schuster:

SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks
René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
Conference on Computer Vision and Pattern Recognition. International Conference on Computer Vision and Pattern Recognition (CVPR-2019) June 16-20 Long Beach CA United States IEEE 2019 .
Details

PWOC-3D: Deep Occlusion-Aware End-to-End Scene Flow Estimation
Rohan Saxena, René Schuster, Oliver Wasenmüller, Didier Stricker
Intelligent Vehicles Symposium. IEEE Intelligent Vehicle Symposium (IV-2019) June 10-12 Paris France IEEE 2019 .
Details

An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching
René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
Conference on Computer Vision and Pattern Recognition Workshops. Safe Artificial Intelligence for Automated Driving Workshop (SAIAD-2019) befindet sich CVPR 2019 June 17-17 Long Beach CA United States IEEE Xplore 2019 .
Details

Dense Scene Flow from Stereo Disparity and Optical FlowDense
René Schuster, Oliver Wasenmüller, Didier Stricker
Computer Science in Cars Symposium ACM Chapters Computer Science in Cars Symposium (CSCS-2018), September 13-14, Munich, Germany
Details | Link 1

SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences
René Schuster, Oliver Wasenmüller, Georg Kuschk, Christian Bailer, Didier Stricker
IEEE Winter Conference on Applications of Computer Vision (WACV-18), March 12-14, Lake Tahoe, NV/CA, USA
Details | Link 1

Combining Stereo Disparity and Optical Flow for Basic Scene Flow
René Schuster, Christian Bailer, Oliver Wasenmüller, Didier Stricker
Commercial Vehicle Technology Symposium (CVT-18), March 13-15, Kaiserslautern, Germany
Details | Link 1

FlowFields++: Accurate Optical Flow Correspondences Meet Robust Interpolation
René Schuster, Christian Bailer, Oliver Wasenmüller, Didier Stricker
IEEE International Conference on Image Processing
Details | Link 1

Dynamic Risk Assessment for Vehicles of Higher Automation Levels by Deep Learning
Patrik Feth, Mohammed Naveed Akram, René Schuster, Oliver Wasenmüller
International Workshop on Artificial Intelligence Safety Engineering (WAISE-2018), located at SAFECOMP 2018, September 18, Västerås, Sweden
Details | Link 1

Automated Scene Flow Data Generation for Training and Verification
Oliver Wasenmüller, René Schuster, Didier Stricker, Karl Leiss, Jürger Pfister, Oleksandra Ganus, Julian Tatsch, Artem Savkin, Nikolas Brasch
ACM Computer Science in Cars Symposium (CSCS) ACM Computer Science in Cars Symposium (CSCS-2018), Munich, Germany
Details | Link 1

Towards Flow Estimation in Automotive Scenarios
René Schuster, Oliver Wasenmüller, Georg Kuschk, Christian Bailer, Didier Stricker
Computer Science in Cars Symposium ACM Chapters Computer Science in Cars Symposium (CSCS-17), Computer Science in Cars Symposium 2017, July 6, Munich, Germany
Details | Link 1