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ORCIDStephan R. Richter
Person information
- affiliation: Intel Labs
- affiliation (PhD 2020): Technical University of Darmstadt, Germany
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Books and Theses
- 2020
[b1]Stephan R. Richter:
Visual Perception with Synthetic Data. Technical University of Darmstadt, Germany, 2020
Journal Articles
- 2024
- [j3]Benoît Guillard
, Edoardo Remelli, Artem Lukoianov, Pierre Yvernay, Stephan R. Richter, Timur M. Bagautdinov, Pierre Baqué, Pascal Fua:
DeepMesh: Differentiable Iso-Surface Extraction. IEEE Trans. Pattern Anal. Mach. Intell. 46(11): 7072-7087 (2024) - 2023
- [j2]Stephan R. Richter, Hassan Abu Alhaija, Vladlen Koltun:
Enhancing Photorealism Enhancement. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1700-1715 (2023) - 2015
- [j1]Stephan R. Richter, Stefan Roth:
A discriminative approach to perspective shape from shading in uncalibrated illumination. Comput. Graph. 53: 72-81 (2015)
Conference and Workshop Papers
- 2025
- [c11]Alexey Bochkovskiy, Amaël Delaunoy, Hugo Germain, Marcel Santos, Yichao Zhou, Stephan R. Richter, Vladlen Koltun:
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second. ICLR 2025 - [c10]Alejandro Newell, Peiyun Hu, Lahav Lipson, Stephan R. Richter, Vladlen Koltun:
CoMotion: Concurrent Multi-person 3D Motion. ICLR 2025 - 2024
- [c9]Benjamin Ummenhofer, Sanskar Agrawal, Rene Sepúlveda, Yixing Lao, Kai Zhang, Tianhang Cheng, Stephan R. Richter, Shenlong Wang, Germán Ros:
Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object Relighting. 3DV 2024: 137-147 - 2022
- [c8]Kristina Monakhova, Stephan R. Richter, Laura Waller, Vladlen Koltun:
Dancing under the stars: video denoising in starlight. CVPR 2022: 16220-16230 - 2021
- [c7]Feihu Zhang, Philip H. S. Torr, René Ranftl, Stephan R. Richter:
Looking Beyond Single Images for Contrastive Semantic Segmentation Learning. NeurIPS 2021: 3285-3297 - 2020
- [c6]Edoardo Remelli, Artem Lukoianov, Stephan R. Richter, Benoît Guillard, Timur M. Bagautdinov, Pierre Baqué, Pascal Fua:
MeshSDF: Differentiable Iso-Surface Extraction. NeurIPS 2020 - 2019
- [c5]Maxim Tatarchenko, Stephan R. Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, Thomas Brox:
What Do Single-View 3D Reconstruction Networks Learn? CVPR 2019: 3405-3414 - 2018
- [c4]Stephan R. Richter, Stefan Roth:
Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers. CVPR 2018: 1936-1944 - 2017
- [c3]Stephan R. Richter, Zeeshan Hayder, Vladlen Koltun:
Playing for Benchmarks. ICCV 2017: 2232-2241 - 2016
- [c2]Stephan R. Richter, Vibhav Vineet, Stefan Roth, Vladlen Koltun:
Playing for Data: Ground Truth from Computer Games. ECCV (2) 2016: 102-118 - 2015
- [c1]Stephan R. Richter, Stefan Roth:
Discriminative shape from shading in uncalibrated illumination. CVPR 2015: 1128-1136
Informal and Other Publications
- 2025
- [i12]Alejandro Newell, Peiyun Hu, Lahav Lipson, Stephan R. Richter, Vladlen Koltun:
CoMotion: Concurrent Multi-person 3D Motion. CoRR abs/2504.12186 (2025) - 2024
- [i11]Benjamin Ummenhofer, Sanskar Agrawal, Rene Sepúlveda, Yixing Lao, Kai Zhang, Tianhang Cheng, Stephan R. Richter, Shenlong Wang, Germán Ros:
Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object Relighting. CoRR abs/2401.09126 (2024) - [i10]Aleksei Bochkovskii, Amaël Delaunoy, Hugo Germain, Marcel Santos, Yichao Zhou, Stephan R. Richter, Vladlen Koltun:
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second. CoRR abs/2410.02073 (2024) - 2022
- [i9]Kristina Monakhova, Stephan R. Richter, Laura Waller, Vladlen Koltun:
Dancing under the stars: video denoising in starlight. CoRR abs/2204.04210 (2022) - [i8]Feihu Zhang, Vladlen Koltun, Philip H. S. Torr, René Ranftl, Stephan R. Richter:
Unsupervised Contrastive Domain Adaptation for Semantic Segmentation. CoRR abs/2204.08399 (2022) - 2021
- [i7]Stephan R. Richter, Hassan Abu Alhaija, Vladlen Koltun:
Enhancing Photorealism Enhancement. CoRR abs/2105.04619 (2021) - [i6]Benoît Guillard, Edoardo Remelli, Artem Lukoianov, Stephan R. Richter, Timur M. Bagautdinov, Pierre Baqué, Pascal Fua:
DeepMesh: Differentiable Iso-Surface Extraction. CoRR abs/2106.11795 (2021) - 2020
- [i5]Edoardo Remelli, Artem Lukoianov, Stephan R. Richter, Benoît Guillard, Timur M. Bagautdinov, Pierre Baqué, Pascal Fua:
MeshSDF: Differentiable Iso-Surface Extraction. CoRR abs/2006.03997 (2020) - 2019
- [i4]Maxim Tatarchenko, Stephan R. Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, Thomas Brox:
What Do Single-view 3D Reconstruction Networks Learn? CoRR abs/1905.03678 (2019) - 2018
- [i3]Stephan R. Richter, Stefan Roth:
Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers. CoRR abs/1804.10975 (2018) - 2017
- [i2]Stephan R. Richter, Zeeshan Hayder, Vladlen Koltun:
Playing for Benchmarks. CoRR abs/1709.07322 (2017) - 2016
- [i1]Stephan R. Richter, Vibhav Vineet, Stefan Roth, Vladlen Koltun:
Playing for Data: Ground Truth from Computer Games. CoRR abs/1608.02192 (2016)
Coauthor Index
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