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ORCIDRené Schuster
- > Home > Persons > René Schuster
Publications
- 2021
[c21]René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker:
SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation. WACV 2021: 197-206- [c20]René Schuster, Christian Unger, Didier Stricker
:
A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions. WACV 2021: 247-255 - 2020
- [j1]René Schuster, Oliver Wasenmüller, Christian Unger, Georg Kuschk, Didier Stricker:
SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation. Int. J. Comput. Vis. 128(2): 527-546 (2020) - [c19]René Schuster, Didier Stricker, Christian Unger:
MonoComb: A Sparse-to-Dense Combination Approach for Monocular Scene Flow. CSCS 2020: 1:1-1:8 - [i15]René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker:
SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation. CoRR abs/2008.09346 (2020) - [i13]René Schuster, Christian Unger, Didier Stricker:
MonoComb: A Sparse-to-Dense Combination Approach for Monocular Scene Flow. CoRR abs/2010.10842 (2020) - [i12]René Schuster, Christian Unger, Didier Stricker:
A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions. CoRR abs/2011.01603 (2020) - 2019
- [c13]René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker:
An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching. CVPR Workshops 2019: 1344-1352 - [c12]René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker:
SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks. CVPR 2019: 2556-2565 - [i11]René Schuster, Oliver Wasenmüller, Christian Unger, Georg Kuschk, Didier Stricker:
SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation. CoRR abs/1902.10099 (2019) - [i10]René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker:
SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks. CoRR abs/1904.03076 (2019) - [i8]René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker:
An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching. CoRR abs/1904.06167 (2019)
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