| T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects T Hodaň, P Haluza, Š Obdržálek, J Matas, M Lourakis, X Zabulis IEEE Winter Conference on Applications of Computer Vision (WACV), 2017 | 390 | 2017 |
| BOP: Benchmark for 6D Object Pose Estimation T Hodan, F Michel, E Brachmann, W Kehl, AG Buch, D Kraft, B Drost, ... European Conference on Computer Vision (ECCV), 2018 | 332 | 2018 |
| BOP Challenge 2020 on 6D Object Localization T Hodan, M Sundermeyer, B Drost, Y Labbe, E Brachmann, F Michel, ... European Conference on Computer Vision Workshops (ECCVW), 2020 | 176 | 2020 |
| EPOS: Estimating 6D Pose of Objects with Symmetries T Hodan, D Barath, J Matas IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 168 | 2020 |
| On Evaluation of 6D Object Pose Estimation T Hodaň, J Matas, Š Obdržálek European Conference on Computer Vision Workshops (ECCVW), 2016 | 155 | 2016 |
| Detection and Fine 3D Pose Estimation of Texture-less Objects in RGB-D Images T Hodaň, X Zabulis, M Lourakis, Š Obdržálek, J Matas IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015 | 149 | 2015 |
| Photorealistic Image Synthesis for Object Instance Detection T Hodan, V Vineet, R Gal, E Shalev, J Hanzelka, T Connell, P Urbina, ... IEEE International Conference on Image Processing (ICIP), 2019 | 118 | 2019 |
| BlenderProc: Reducing the Reality Gap with Photorealistic Rendering M Denninger, M Sundermeyer, D Winkelbauer, D Olefir, T Hodan, Y Zidan, ... Robotics: Science and Systems (RSS) Workshops, 2020 | 46 | 2020 |
| LISA: Learning Implicit Shape and Appearance of Hands E Corona, T Hodan, M Vo, F Moreno-Noguer, C Sweeney, R Newcombe, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 27 | 2022 |
| Learning Surrogates via Deep Embedding Y Patel, T Hodan, J Matas European Conference on Computer Vision (ECCV), 2020 | 19 | 2020 |
| A Summary of the 4th International Workshop on Recovering 6D Object Pose T Hodan, R Kouskouridas, TK Kim, F Tombari, K Bekris, B Drost, ... European Conference on Computer Vision Workshops (ECCVW), 2018 | 12 | 2018 |
| Neural Correspondence Field for Object Pose Estimation L Huang, T Hodan, L Ma, L Zhang, L Tran, C Twigg, PC Wu, J Yuan, ... European Conference on Computer Vision (ECCV), 2022 | 11 | 2022 |
| Efficient Texture-less Object Detection for Augmented Reality Guidance T Hodaň, D Damen, W Mayol-Cuevas, J Matas IEEE International Symposium on Mixed and Augmented Reality Workshops (ISMARW), 2015 | 10 | 2015 |
| SIXD Challenge 2017 T Hodan, F Michel, C Sahin, TK Kim, J Matas, C Rother http://cmp.felk.cvut.cz/sixd/challenge_2017/, 2017 | 6 | 2017 |
| UmeTrack: Unified multi-view end-to-end hand tracking for VR S Han, P Wu, Y Zhang, B Liu, L Zhang, Z Wang, W Si, P Zhang, Y Cai, ... SIGGRAPH Asia 2022 Conference Papers, 1-9, 2022 | 5 | 2022 |
| BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects M Sundermeyer, T Hodan, Y Labbe, G Wang, E Brachmann, B Drost, ... arXiv preprint arXiv:2302.13075, 2023 | 3 | 2023 |
| Pose Estimation of Specific Rigid Objects T Hodan PhD Thesis, 2021 | 2 | 2021 |
| BOP Challenge 2019 T Hodaň, E Brachmann, B Drost, F Michel, M Sundermeyer, J Matas, ... https://bop.felk.cvut.cz/challenges/bop-challenge-2019/, 2019 | 1* | 2019 |
| AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimation T Ohkawa, K He, F Sener, T Hodan, L Tran, C Keskin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | | 2023 |
| In-Hand 3D Object Scanning from an RGB Sequence S Hampali, T Hodan, L Tran, L Ma, C Keskin, V Lepetit Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | | 2023 |
Jiri MatasProfessor, Czech Technical UniversityVerified email at cmp.felk.cvut.cz
