| Real-Time Seamless Single Shot 6D Object Pose Prediction B Tekin, SN Sinha, P Fua Computer Vision and Pattern Recognition (CVPR), 2018 | 629 | 2018 |
| 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 | 258 | 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 | 226 | 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 | 226 | 2017 |
| 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 | 209 | 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 | 209 | 2016 |
| 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 | 153 | 2019 |
| 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 | 66 | 2020 |
| 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 | 52 | 2018 |
| 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 | 40 | 2020 |
| 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 | 36 | 2015 |
| 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 | 28 | 2021 |
| 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 | 13 | 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, H Sawhney IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 12 | 2021 |
| Benefits of consistency in image denoising with steerable wavelets B Tekin, US Kamilov, E Bostan, M Unser International Conference on Acoustics, Speech and Signal Processing (ICASSP …, 2013 | 9 | 2013 |
| Predicting three-dimensional articulated and target object pose MAL Pollefeys, B Tekin, B Federica US Patent 11,004,230, 2021 | 5 | 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 | 3 | 2022 |
| Reconstructing human body mesh from point clouds by adversarial gp network B Zhou, JS Franco, F Bogo, B Tekin, E Boyer Proceedings of the Asian Conference on Computer Vision, 2020 | 3 | 2020 |
| Action recognition B Tekín, M Pollefeys, B Federica US Patent App. 17/155,013, 2022 | | 2022 |
Pascal FuaProfessor Computer Science, EPFLEmail confirmado em epfl.ch
