Publications

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 .
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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 .
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RMS-FlowNet: Efficient and Robust Multi-Scale Scene Flow Estimation for Large-Scale Point Clouds
Ramy Battrawy, René Schuster, Mohammad-Ali Nikouei Mahani, Didier Stricker,
In: International Conference on Robotics and Automation. IEEE International Conference on Robotics and Automation (ICRA-2022), IEEE International Conference on Robotics and Automation, May 23-27, Philadelphia, Pennsylvania (PA), USA, IEEE, 2022.
Details | Link 1 | Link 2 | Link 3 | Link 4

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

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

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 .
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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 .
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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 .
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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 .
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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 .
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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