| Deep directional statistics: Pose estimation with uncertainty quantification S Prokudin, P Gehler, S Nowozin Proceedings of the European conference on computer vision (ECCV), 534-551, 2018 | 109 | 2018 |
| Efficient learning on point clouds with basis point sets S Prokudin, C Lassner, J Romero The IEEE International Conference on Computer Vision (ICCV), 4332--4341, 2019 | 106 | 2019 |
| SMPLpix: Neural Avatars from 3D Human Models S Prokudin, MJ Black, J Romero Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 79* | 2020 |
| DeepCEST 3T: Robust MRI parameter determination and uncertainty quantification with neural networks—application to CEST imaging of the human brain at 3T F Glang, A Deshmane, S Prokudin, F Martin, K Herz, T Lindig, B Bender, ... Magnetic resonance in medicine 84 (1), 450-466, 2020 | 77 | 2020 |
| Real time trajectory prediction using deep conditional generative models S Gomez-Gonzalez, S Prokudin, B Schölkopf, J Peters IEEE Robotics and Automation Letters 5 (2), 970-976, 2020 | 39 | 2020 |
| Harp: Personalized hand reconstruction from a monocular rgb video K Karunratanakul, S Prokudin, O Hilliges, S Tang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 20 | 2023 |
| Dynamic point fields S Prokudin, Q Ma, M Raafat, J Valentin, S Tang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 17 | 2023 |
| System and method for evaluating malware detection rules AM Romanenko, IO Tolstikhin, SV Prokudin US Patent 9,171,155, 2015 | 9 | 2015 |
| Resfields: Residual neural fields for spatiotemporal signals M Mihajlovic, S Prokudin, M Pollefeys, S Tang arXiv preprint arXiv:2309.03160, 2023 | 8 | 2023 |
| Learning to filter object detections S Prokudin, D Kappler, S Nowozin, P Gehler Pattern Recognition: 39th German Conference, GCPR 2017, Basel, Switzerland …, 2017 | 7 | 2017 |
| Image generation from 3D model using neural network S Prokudin, JR Gonzalez-Nicolas, MJ Black US Patent 11,403,800, 2022 | 3 | 2022 |
| Rapid point cloud alignment and classification with basis set learning JR Gonzalez-Nicolas, S Prokudin, C Lassner US Patent 11,176,693, 2021 | 3 | 2021 |
| System and method for generating sets of antivirus records for detection of malware on user devices SV Prokudin US Patent 9,654,486, 2017 | 2* | 2017 |
| Morphable Diffusion: 3D-Consistent Diffusion for Single-image Avatar Creation X Chen, M Mihajlovic, S Wang, S Prokudin, S Tang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Machine learning based processing of magnetic resonance data, including an uncertainty quantification M Zaiss, F Glang, S Prokudin, K Scheffler US Patent 11,965,946, 2024 | | 2024 |
| Degrees of Freedom Matter: Inferring Dynamics from Point Trajectories Y Zhang, S Prokudin, M Mihajlovic, Q Ma, S Tang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Creating a Digital Twin of Spinal Surgery: A Proof of Concept J Hein, F Giraud, L Calvet, A Schwarz, NA Cavalcanti, S Prokudin, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Robust and efficient deep visual learning S Prokudin Universität Tübingen, 2020 | | 2020 |
| DeepCEST 3T: Robust neural network prediction of 3T CEST MRI parameters including uncertainty quantification F Glang, A Deshmane, S Prokudin, F Martin, K Herz, T Lindig, B Bender, ... 2020 ISMRM & SMRT Virtual Conference & Exhibition, 216, 2020 | | 2020 |
| Dynamic Point Fields Supplementary Material S Prokudin, Q Ma, M Raafat, J Valentin, S Tang | | |
Siyu TangETH Zürich在 inf.ethz.ch 的电子邮件经过验证
