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 | 1120 | 2017 |
Blazepose: On-device real-time body pose tracking V Bazarevsky, I Grishchenko, K Raveendran, T Zhu, F Zhang, ... arXiv preprint arXiv:2006.10204, 2020 | 837 | 2020 |
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 | 792 | 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 | 758 | 2019 |
Modeep: A deep learning framework using motion features for human pose estimation A Jain, J Tompson, Y LeCun, C Bregler Computer Vision--ACCV 2014: 12th Asian Conference on Computer Vision …, 2015 | 227 | 2015 |
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 | 114 | 2023 |
Blazepose: On-device real-time body pose tracking. arXiv 2020 V Bazarevsky, I Grishchenko, K Raveendran, T Zhu, F Zhang, ... arXiv preprint arXiv:2006.10204, 2006 | 85 | 2006 |
PoseNet: Real-time Human Pose Estimation in the Browser with TensorFlow.js D Oved, I Alvarado, A Gallo, G Papandreou, T Zhu | 41* | 2018 |
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 |
BlazePose: On-device real-time body pose tracking B Valentin, G Ivan, R Karthik, Z Tyler, Z Fan, G Matthias en. In: Proc. CVPR Workshop Comput. Vis. Augmented Virtual Reality, 1-4, 2020 | 12 | 2020 |
BodyPix: Real-time Person Segmentation in the Browser with TensorFlow.js D Oved, T Zhu, P Karlsson, I Alvarado, N Thorat, D Smilkov, D Shiffman | | 2019 |
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, ... | | |