| Real-Time Seamless Single Shot 6D Object Pose Prediction B Tekin, SN Sinha, P Fua Computer Vision and Pattern Recognition (CVPR), 2018 | 975 | 2018 |
| Learning separable filters A Sironi, B Tekin, R Rigamonti, V Lepetit, P Fua Pattern Analysis and Machine Intelligence (PAMI) 37 (1), 94-106, 2015 | 393* | 2015 |
| Structured Prediction of 3D Human Pose with Deep Neural Networks B Tekin, I Katircioglu, M Salzmann, V Lepetit, P Fua British Machine Vision Conference (BMVC), 2016 | 323 | 2016 |
| Learning to fuse 2d and 3d image cues for monocular body pose estimation B Tekin, P Marquez Neila, M Salzmann, P Fua International Conference on Computer Vision (ICCV), 2017 | 301 | 2017 |
| Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation B Tekin, P Márquez-Neila, M Salzmann, P Fua International Conference on Computer Vision (ICCV), 2017 | 301 | 2017 |
| H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions B Tekin, F Bogo, M Pollefeys Computer Vision and Pattern Recognition (CVPR), 2019 | 281 | 2019 |
| Direct prediction of 3d body poses from motion compensated sequences B Tekin, A Rozantsev, V Lepetit, P Fua Conference on Computer Vision and Pattern Recognition (CVPR), 2016 | 255 | 2016 |
| Direct prediction of 3d body poses from motion compensated sequences B Tekin, A Rozantsev, V Lepetit, P Fua Computer Vision and Pattern Recognition (CVPR), 2016 | 255 | 2016 |
| Leveraging Photometric Consistency over Time for Sparsely Supervised Hand-Object Reconstruction Y Hasson, B Tekin, F Bogo, I Laptev, M Pollefeys, C Schmid Computer Vision and Pattern Recognition (CVPR), 2020 | 173 | 2020 |
| Hololens 2 research mode as a tool for computer vision research D Ungureanu, F Bogo, S Galliani, P Sama, X Duan, C Meekhof, J Stühmer, ... arXiv preprint arXiv:2008.11239, 2020 | 151 | 2020 |
| H2O: Two Hands Manipulating Objects for First Person Interaction Recognition T Kwon, B Tekin, J Stuhmer, F Bogo, M Pollefeys International Conference on Computer Vision (ICCV), 2021 | 124 | 2021 |
| Learning Latent Representations of 3D Human Pose with Deep Neural Networks I Katircioglu, B Tekin, M Salzmann, V Lepetit, P Fua International Journal of Computer Vision (IJCV), 1-16, 2018 | 80 | 2018 |
| Fusing 2d uncertainty and 3d cues for monocular body pose estimation B Tekin, P Marquez-Neila, M Salzmann, P Fua arXiv preprint arXiv:1611.05708 8, 2016 | 40 | 2016 |
| Predicting people’s 3d poses from short sequences B Tekin, X Sun, X Wang, V Lepetit, P Fua arXiv preprint arXiv: 1504.08200, 2015 | 38 | 2015 |
| Method, System and Device for Direct Prediction of 3D Body Poses from Motion Compensated Sequence P Fua, V Lepetit, A Rozantsev, B Tekin US Patent App. US 2017-0316578 A1, 2017 | 36 | 2017 |
| Domain-specific priors and meta learning for few-shot first-person action recognition H Coskun, MZ Zia, B Tekin, F Bogo, N Navab, F Tombari, HS Sawhney IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (6), 6659-6673, 2021 | 29 | 2021 |
| Learning to align sequential actions in the wild W Liu, B Tekin, H Coskun, V Vineet, P Fua, M Pollefeys Computer Vision and Pattern Recognition (CVPR), 2022 | 22 | 2022 |
| Holoassist: an egocentric human interaction dataset for interactive ai assistants in the real world X Wang, T Kwon, M Rad, B Pan, I Chakraborty, S Andrist, D Bohus, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 18 | 2023 |
| Spatially consistent representation of hand motion MAL Pollefeys, SN Sinha, HS Sawhney, B Tekin, B Federica US Patent App. 16/363,964, 2020 | 13 | 2020 |
| Context-Aware Sequence Alignment using 4D Skeletal Augmentation T Kwon, B Tekin, S Tang, M Pollefeys Computer Vision and Pattern Recognition (CVPR), 2022 | 12 | 2022 |
Pascal FuaProfessor Computer Science, EPFLVerified email at epfl.ch
