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Miao Xin
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2020 – today
- 2024
- [j4]Shentong Mo, Miao Xin:
BSTG-Trans: A Bayesian Spatial-Temporal Graph Transformer for Long-Term Pose Forecasting. IEEE Trans. Multim. 26: 673-686 (2024) - [c8]Guojing Ge, Qi Song, Guibo Zhu, Yuting Zhang, Jinglu Chen, Miao Xin, Ming Tang, Jinqiao Wang:
BFRFormer: Transformer-Based Generator for Real-World Blind Face Restoration. ICASSP 2024: 3700-3704 - [c7]Shentong Mo, Miao Xin:
Tree of Uncertain Thoughts Reasoning for Large Language Models. ICASSP 2024: 12742-12746 - [i3]Miao Xin, Zhongrui You, Zihan Zhang, Taoran Jiang, Tingjia Xu, Haotian Liang, Guojing Ge, Yuchen Ji, Shentong Mo, Jian Cheng:
We Choose to Go to Space: Agent-driven Human and Multi-Robot Collaboration in Microgravity. CoRR abs/2402.14299 (2024) - [i2]Guojing Ge, Qi Song, Guibo Zhu, Yuting Zhang, Jinglu Chen, Miao Xin, Ming Tang, Jinqiao Wang:
BFRFormer: Transformer-based generator for Real-World Blind Face Restoration. CoRR abs/2402.18811 (2024) - 2023
- [i1]Shentong Mo, Miao Xin:
Tree of Uncertain Thoughts Reasoning for Large Language Models. CoRR abs/2309.07694 (2023) - 2021
- [c6]Miao Xin, Shentong Mo, Yuanze Lin:
EVA-GCN: Head Pose Estimation Based on Graph Convolutional Networks. CVPR Workshops 2021: 1462-1471 - [c5]Shentong Mo, Miao Xin:
Long-Term Head Pose Forecasting Conditioned on the Gaze-Guiding Prior. CVPR Workshops 2021: 2239-2248
2010 – 2019
- 2019
- [j3]Jing Zhao, Jianqi Liu, Zhenting Zhao, Miao Xin, Yu Chen:
A high-performance maintenance strategy for stochastic selective maintenance. Concurr. Comput. Pract. Exp. 31(12) (2019) - [c4]Miao Xin, Shuhang Wang, Jian Cheng:
Entanglement Loss for Context-Based Still Image Action Recognition. ICME 2019: 1042-1047 - 2018
- [j2]Hong Zhang, Miao Xin, Shuhang Wang, Yifan Yang, Lei Zhang, Helong Wang:
End-to-end temporal attention extraction and human action recognition. Mach. Vis. Appl. 29(7): 1127-1142 (2018) - [c3]Bin Gu, Miao Xin, Zhouyuan Huo, Heng Huang:
Asynchronous Doubly Stochastic Sparse Kernel Learning. AAAI 2018: 3085-3092 - 2017
- [c2]Miao Xin, Hong Zhang, Ding Yuan, Mingui Sun:
Learning discriminative action and context representations for action recognition in still images. ICME 2017: 757-762 - 2016
- [j1]Miao Xin, Hong Zhang, Helong Wang, Mingui Sun, Ding Yuan:
ARCH: Adaptive recurrent-convolutional hybrid networks for long-term action recognition. Neurocomputing 178: 87-102 (2016) - [c1]Miao Xin, Hong Zhang, Mingui Sun, Ding Yuan:
Recurrent Temporal Sparse Autoencoder for attention-based action recognition. IJCNN 2016: 456-463
Coauthor Index
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