| Playing for Data: Ground Truth from Computer Games SR Richter, V Vineet, S Roth, V Koltun 14th European Conference on Computer Vision (ECCV 2016), 2016 | 2570 | 2016 |
| Playing for Benchmarks SR Richter, Z Hayder, V Koltun International Conference on Computer Vision (ICCV), 2017 | 581 | 2017 |
| What Do Single-view 3D Reconstruction Networks Learn? M Tatarchenko, SR Richter, R Ranftl, Z Li, V Koltun, T Brox IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 487 | 2019 |
| Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers SR Richter, S Roth Computer Vision and Pattern Recognition (CVPR), 2018 Conference on, 2018 | 160 | 2018 |
| MeshSDF: Differentiable Iso-Surface Extraction E Remelli, A Lukoianov, SR Richter, B Guillard, T Bagautdinov, P Baque, ... Advances in Neural Information Processing Systems (NeurIPS), 2020 | 157 | 2020 |
| Enhancing photorealism enhancement SR Richter, HA AlHaija, V Koltun IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (2), 1700-1715, 2022 | 143 | 2022 |
| GravitySpace: tracking users and their poses in a smart room using a pressure-sensing floor A Bränzel, C Holz, D Hoffmann, D Schmidt, M Knaust, P Lühne, R Meusel, ... Proceedings of the SIGCHI conference on human factors in computing systems …, 2013 | 120 | 2013 |
| Discriminative Shape from Shading in Uncalibrated Illumination SR Richter, S Roth Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on, 2015 | 84 | 2015 |
| Bootstrapper: recognizing tabletop users by their shoes S Richter, C Holz, P Baudisch Proceedings of the SIGCHI Conference on Human Factors in Computing Systems …, 2012 | 55 | 2012 |
| Dancing under the stars: video denoising in starlight K Monakhova, SR Richter, L Waller, V Koltun IEEE/CVF International Conference on Computer Vision and Pattern Recognition …, 2022 | 50 | 2022 |
| Looking beyond single images for contrastive semantic segmentation learning F Zhang, P Torr, R Ranftl, S Richter Advances in neural information processing systems 34, 3285-3297, 2021 | 42 | 2021 |
| Depth pro: Sharp monocular metric depth in less than a second A Bochkovskii, A Delaunoy, H Germain, M Santos, Y Zhou, SR Richter, ... arXiv preprint arXiv:2410.02073, 2024 | 32 | 2024 |
| DeepMesh: Differentiable iso-surface extraction B Guillard, E Remelli, A Lukoianov, P Yvernay, SR Richter, T Bagautdinov, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 23 | 2024 |
| Unsupervised contrastive domain adaptation for semantic segmentation F Zhang, V Koltun, P Torr, R Ranftl, SR Richter arXiv preprint arXiv:2204.08399, 2022 | 14 | 2022 |
| Black swan: augmenting statistics with event data J Lorey, F Naumann, B Forchhammer, A Mascher, P Retzlaff, ... Proceedings of the 20th ACM international conference on Information and …, 2011 | 12 | 2011 |
| Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object Relighting B Ummenhofer, S Agrawal, R Sepulveda, Y Lao, K Zhang, T Cheng, ... International Conference on 3D Vision (3DV), 2024 | 4 | 2024 |
| A discriminative approach to perspective shape from shading in uncalibrated illumination SR Richter, S Roth Computers & Graphics 53, 72-81, 2015 | 4 | 2015 |
| Apparatus and method for enhancing graphics rendering photorealism S Richter, V Koltun, HA Alhaija US Patent 12,094,026, 2024 | 1 | 2024 |
| Learning neural reflectance shaders from images B Ummenhofer, S Wang, S Agrawal, Y Lao, K Zhang, S Richter, V Koltun US Patent App. 18/426,740, 2024 | | 2024 |
| Learning neural reflectance shaders from images B Ummenhofer, S Wang, S Agrawal, Y Lao, K Zhang, S Richter, V Koltun US Patent 11,972,519, 2024 | | 2024 |
Vladlen KoltunDistinguished Scientist, AppleEmail verificata su apple.com