Tyler Lixuan Zhu
Tyler Lixuan Zhu
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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
4812017
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
2432018
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
1702019
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up
G Papandreou, T Zhu, LC Chen, S Gidaris, J Tompson, K Murphy
Part-Based, Geometric Embedding Model. arXiv 1803, 2018
72018
BlazePose: On-device Real-time Body Pose tracking
V Bazarevsky, I Grishchenko, K Raveendran, T Zhu, F Zhang, ...
arXiv preprint arXiv:2006.10204, 2020
42020
SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data
T Zhu, P Karlsson, C Bregler
European Conference on Computer Vision, 225-242, 2020
32020
Personlab: Person pose estimation and instance segmentation with a part-based geometric embedding model
G Papandreou, T Zhu, L Chen, S Gidaris, J Tompson, K Murphy
22018
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, ...
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