Towards accurate multi-person pose estimation in the wild G Papandreou, T Zhu, N Kanazawa, A Toshev, J Tompson, C Bregler, ... Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1067 | 2017 |
Personlab: Person pose estimation and instance segmentation with a bottom-up, part-based, geometric embedding model G Papandreou, T Zhu, LC Chen, S Gidaris, J Tompson, K Murphy Proceedings of the European conference on computer vision (ECCV), 269-286, 2018 | 739 | 2018 |
Meta-dataset: A dataset of datasets for learning to learn from few examples E Triantafillou, T Zhu, V Dumoulin, P Lamblin, U Evci, K Xu, R Goroshin, ... arXiv preprint arXiv:1903.03096, 2019 | 688 | 2019 |
Blazepose: On-device real-time body pose tracking V Bazarevsky, I Grishchenko, K Raveendran, T Zhu, F Zhang, ... arXiv preprint arXiv:2006.10204, 2020 | 662 | 2020 |
Tryondiffusion: A tale of two unets L Zhu, D Yang, T Zhu, F Reda, W Chan, C Saharia, M Norouzi, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 65 | 2023 |
Simpose: Effectively learning densepose and surface normals of people from simulated data T Zhu, P Karlsson, C Bregler Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 34 | 2020 |
Appendix for Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples E Triantafillou, T Zhu, V Dumoulin, P Lamblin, K Xu, R Goroshin, ... | | |