| Sub-cortical brain structure segmentation using F-CNN's M Shakeri, S Tsogkas, E Ferrante, S Lippe, S Kadoury, N Paragios, ... 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 269-272, 2016 | 153 | 2016 |
| Understanding objects in detail with fine-grained attributes A Vedaldi, S Mahendran, S Tsogkas, S Maji, R Girshick, J Kannala, ... Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 128 | 2014 |
| Learning-based symmetry detection in natural images S Tsogkas, I Kokkinos Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 123 | 2012 |
| Aim 2020 challenge on efficient super-resolution: Methods and results K Zhang, M Danelljan, Y Li, R Timofte, J Liu, J Tang, G Wu, Y Zhu, X He, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 102 | 2020 |
| Deformable part models with cnn features PA Savalle, S Tsogkas, G Papandreou, I Kokkinos European Conference on Computer Vision, Parts and Attributes Workshop, 2014 | 64 | 2014 |
| Deepflux for skeletons in the wild Y Wang, Y Xu, S Tsogkas, X Bai, S Dickinson, K Siddiqi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 56 | 2019 |
| 2017 ICCV Challenge: Detecting Symmetry in the Wild C Funk, S Lee, MR Oswald, S Tsogkas, W Shen, A Cohen, S Dickinson, ... Proceedings of the IEEE International Conference on Computer Vision, 1692-1701, 2017 | 56 | 2017 |
| Geometric disentanglement for generative latent shape models T Aumentado-Armstrong, S Tsogkas, A Jepson, S Dickinson Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 51 | 2019 |
| AMAT: Medial Axis Transform for Natural Images S Tsogkas, S Dickinson Proceedings of the IEEE International Conference on Computer Vision, 2017 | 41 | 2017 |
| Grasp’d: Differentiable contact-rich grasp synthesis for multi-fingered hands D Turpin, L Wang, E Heiden, YC Chen, M Macklin, S Tsogkas, ... European Conference on Computer Vision, 201-221, 2022 | 40 | 2022 |
| Deep learning for semantic part segmentation with high-level guidance S Tsogkas, I Kokkinos, G Papandreou, A Vedaldi arXiv preprint arXiv:1505.02438, 2015 | 38 | 2015 |
| Semantic part segmentation with deep learning S Tsogkas, I Kokkinos, G Papandreou, A Vedaldi arXiv preprint arXiv:1505.02438 3 (7), 2015 | 35 | 2015 |
| Segmentation-aware deformable part models E Trulls, S Tsogkas, I Kokkinos, A Sanfeliu, F Moreno-Noguer Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 34 | 2014 |
| Gift: Generalizable interaction-aware functional tool affordances without labels D Turpin, L Wang, S Tsogkas, S Dickinson, A Garg arXiv preprint arXiv:2106.14973, 2021 | 29 | 2021 |
| Few-shot single-view 3-d object reconstruction with compositional priors M Michalkiewicz, S Parisot, S Tsogkas, M Baktashmotlagh, A Eriksson, ... European Conference on Computer Vision, 614-630, 2020 | 24 | 2020 |
| Accurate human-limb segmentation in RGB-D images for intelligent mobility assistance robots S Chandra, S Tsogkas, I Kokkinos Proceedings of the IEEE International Conference on Computer Vision …, 2015 | 22 | 2015 |
| Representing 3d shapes with probabilistic directed distance fields T Aumentado-Armstrong, S Tsogkas, S Dickinson, AD Jepson Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 20 | 2022 |
| Fast-Grasp'D: Dexterous Multi-finger Grasp Generation Through Differentiable Simulation D Turpin, T Zhong, S Zhang, G Zhu, E Heiden, M Macklin, S Tsogkas, ... 2023 IEEE International Conference on Robotics and Automation (ICRA), 8082-8089, 2023 | 11 | 2023 |
| Deepflux for skeleton detection in the wild Y Xu, Y Wang, S Tsogkas, J Wan, X Bai, S Dickinson, K Siddiqi International Journal of Computer Vision 129, 1323-1339, 2021 | 10 | 2021 |
| Cycle-consistent generative rendering for 2d-3d modality translation T Aumentado-Armstrong, A Levinshtein, S Tsogkas, KG Derpanis, ... 2020 International Conference on 3D Vision (3DV), 230-240, 2020 | 10 | 2020 |
Sven DickinsonProfessor of Computer Science, University of Toronto在 cs.toronto.edu 的电子邮件经过验证
