Profile picture of René Schuster

Dr. René Schuster

E-Mail: rene.schuster@dfki.de
Position: Senior 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 under Prof. Stefan Roth.

His master thesis about 3D vehicle detection based on motion and geometry was completed at the Robert Bosch GmbH.

In 2017 he joined the department Augmented Vision (AV) of the German Research Center for Artifical Intelligence (DFKI) under Prof. Didier Stricker. In 2022, he completed his PhD in the field of 3D motion estimation for automotive applications.

Since 2020, he leads the team Automotive Scene Understanding (ASU) that focusses on a variety of visual perception tasks for assisted and automated driving. A special emphasis of the team’s research is on (multi-modal, heterogeneous) sensor fusion for increased robustness, compact networks which exploit domain knowledge, and data-efficient learning.

Next to his research activities, René is deeply committed to teaching. He is organzing the projects and seminars on “3D Computer Vision”, “2D Image Processing”, and “Computer Vision and Deep Learning”, and is lecturer for “Advanced Topics in Computer Vision and Deep Learning” at the RPTU in Kaiserslautern. Additionally, René is reviewer for major conferences in the fields of Computer Vision, Pattern Recognition, Robotics, and Automotive.

31 Publications by Dr. René Schuster:

ShapeAug: Occlusion Augmentation for Event Camera Data
Katharina Bendig, René Schuster, Didier Stricker
In: International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2024), February 24-26, Rome, Italy, SCITEPRESS, 2024.
Details | Link 1

Learned Fusion: 3D Object Detection using Calibration-Free Transformer Feature Fusion
David Michael Fürst, Rahul Jakkamsetty, René Schuster, Didier Stricker
In: Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2024), February 24-26, Rome, Italy, SCITEPRESS, 2024.
Details | Link 1

JPPF: Multi-task Fusion for Consistent Panoptic-Part Segmentation
Shishir Muralidhara, Sravan Kumar Jagadeesh, René Schuster, Didier Stricker
In: SN Computer Science (SNCS), Vol. 5, Pages 0-16, Springer, 2024.
Details | Link 1

EvLiDAR-Flow: Attention-Guided Fusion between Point Clouds and Events for Scene Flow Estimation
Ankit Sonthalia, Ramy Battrawy, René Schuster, Didier Stricker
In: International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2023), February 22-24, Lissabon, Portugal, Scitepress, 2023.
Details | Link 1

Multi-task Fusion for Efficient Panoptic-Part Segmentation
Sravan Kumar Jagadeesh, René Schuster, Didier Stricker
In: Proceedings of the International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2023), February 22-24, Lissabon, Portugal, Scitepress, 2023.
Details | Link 1

On the Future of Training Spiking Neural Networks
Katharina Bendig, René Schuster, Didier Stricker
In: International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2023), February 22-24, Lissabon, Portugal, SCITEPRESS, 2023.
Details | Link 1

Severity of Catastrophic Forgetting in Object Detection for Autonomous Driving
Christian Witte, René Schuster, Syed Saqib Bukhari, Patrick Trampert, Didier Stricker, Georg Schneider
In: Proceedings of the International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2023), February 22-24, Lissabon, Portugal, Scitepress, 2023.
Details | Link 1

Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation
Dipam Goswami, René Schuster, Didier Stricker
In: Winter Conference on Applications of Computer Vision 2023. IEEE Winter Conference on Applications of Computer Vision (WACV-2023), January 2-7, Waikoloa, HI, USA, IEEE, 2023.
Details | Link 1

Object Permanence in Object Detection Leveraging Temporal Priors at Inference Time
David Michael Fürst, Priyash Bhugra, René Schuster, Didier Stricker (Hrsg.)
ernational Conference on Pattern Recognition (ICPR-2022) August 21-25 Montreal Quebec Canada IEEE 2022 .
Details | Link 1

Self-SuperFlow: Self-supervised Scene Flow Prediction in Stereo Sequences
Katharina Bendig, René Schuster, Didier Stricker
International Conference on Image Processing. IEEE International Conference on Image Processing (ICIP-2022) October 16-19 Bordeaux France IEEE 2022 .
Details | Link 1

Multi-scale Iterative Residuals for Fast and Scalable Stereo Matching
Kumail Raza, René Schuster, Didier Stricker
Computer Science in Cars Symposium. ACM Computer Science in Cars Symposium (CSCS-2021) November 30-30 Ingolstadt Germany ACM 2021 .
Details | Link 1

A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions
René Schuster, Christian Unger, Didier Stricker
Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision (WACV-2021) January 5-9 Waikoloa HI United States IEEE 2021 .
Details | Link 1

HPERL: 3D Human Pose Estimation from RGB and LiDAR
David Michael Fürst, Shriya T. P. Gupta, René Schuster, Oliver Wasenmüller, Didier Stricker
International Conference on Pattern Recognition. International Conference on Pattern Recognition (ICPR-2020) January 10-15 Milan Italy IEEE 2021 .
Details | Link 1

MonoComb: A Sparse-to-Dense Combination Approach for Monocular Scene Flow
René Schuster, Christian Unger, Didier Stricker
Computer Science in Cars Symposium. ACM Computer Science in Cars Symposium (CSCS-2020) December 2-2 Feldkirchen Germany ACM 2020 .
Details | Link 1

deepRGBXYZ: Dense Pixel Description Utilizing RGB and Depth with Stacked Dilated Convolutions
Ramy Battrawy, René Schuster, Oliver Wasenmüller, Qing Rao, Didier Stricker
International Conference on Intelligent Transportation Systems. IEEE Intelligent Transportation Systems Conference (IEEE ITSC-2020) September 20-23 Rhodes Greece IEEE 9/2020 .
Details | Link 1

SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation
René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision (WACV-2021) January 5-9 Waikoloa HI United States IEEE 2021 .
Details | Link 1

ResFPN: Residual Skip Connections in Multi-Resolution Feature Pyramid Networks for Accurate Dense Pixel Matching
Rishav Rishav, René Schuster, Ramy Battrawy, Oliver Wasenmüller, Didier Stricker
International Conference on Pattern Recognition. International Conference on Pattern Recognition (ICPR-2021) January 12-15 Mailand Italy IEEE 1/2021 .
Details | Link 1

DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation Using Monocular Camera and Sparse LiDAR
Rishav Rishav, Ramy Battrawy, René Schuster, Oliver Wasenmüller, Didier Stricker
International conference in robotics and intelligent systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2020) October 25-29 Las Vegas NV United States Minor Outlying Islands IEEE 10/2020 .
Details | Link 1

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 | Link 1 | Link 2

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 | Link 1 | Link 2

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 | Link 1

SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation
René Schuster, Oliver Wasenmüller, Christian Unger, Georg Kuschk, Didier Stricker
International Journal of Computer Vision (IJCV) tba Springer 2019 .
Details | Link 1

SDC - Stacked Dilated Convolutions
René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
Computer Science in Cars Sympoisum. ACM Computer Science in Cars Symposium (CSCS-2019) October 8-8 Germany ACM 10/2019 .
Details | Link 1

LiDAR-Flow: Dense Scene Flow Estimation from Sparse LiDAR and Stereo Images
Ramy Battrawy, René Schuster, Oliver Wasenmüller, Qing Rao, Didier Stricker
International conference in robotics and intelligent systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2019) IEEE/RSJ International Conference on Intelligent Robots and Systems November 4-8 MACAO, CHINA Macao SAR of China IEEE 2019 .
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

Dense Scene Flow from Stereo Disparity and Optical Flow
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

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