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2020 – today
- 2025
[i8]Xiuwei Chen, Sihao Lin, Xiao Dong, Zisheng Chen, Meng Cao, Jianhua Han, Hang Xu, Xiaodan Liang:
TransMamba: Fast Universal Architecture Adaption from Transformers to Mamba. CoRR abs/2502.15130 (2025)- 2024
- [j3]Aijia Yang
, Sihao Lin, Chung-Hsing Yeh, Minglei Shu, Yi Yang, Xiaojun Chang:
Context Matters: Distilling Knowledge Graph for Enhanced Object Detection. IEEE Trans. Multim. 26: 487-500 (2024) - [c6]Sihao Lin, Pumeng Lyu, Dongrui Liu, Tao Tang, Xiaodan Liang, Andy Song, Xiaojun Chang:
MLP Can Be a Good Transformer Learner. CVPR 2024: 19489-19498 - [c5]Zhijian Huang, Tao Tang, Shaoxiang Chen, Sihao Lin, Zequn Jie, Lin Ma, Guangrun Wang, Xiaodan Liang:
Making Large Language Models Better Planners with Reasoning-Decision Alignment. ECCV (36) 2024: 73-90 - [i7]Dongrui Liu, Daqi Liu, Xueqian Li, Sihao Lin, Hongwei Xie, Bing Wang, Xiaojun Chang, Lei Chu:
Self-Supervised Multi-Frame Neural Scene Flow. CoRR abs/2403.16116 (2024) - [i6]Sihao Lin, Pumeng Lyu, Dongrui Liu, Tao Tang, Xiaodan Liang, Andy Song, Xiaojun Chang:
MLP Can Be A Good Transformer Learner. CoRR abs/2404.05657 (2024) - [i5]Zhijian Huang, Tao Tang, Shaoxiang Chen, Sihao Lin, Zequn Jie, Lin Ma, Guangrun Wang, Xiaodan Liang:
Making Large Language Models Better Planners with Reasoning-Decision Alignment. CoRR abs/2408.13890 (2024) - [i4]Changlin Li, Jiawei Zhang, Sihao Lin, Zongxin Yang, Junwei Liang, Xiaodan Liang, Xiaojun Chang:
Efficient Training of Large Vision Models via Advanced Automated Progressive Learning. CoRR abs/2410.00350 (2024) - 2023
- [c4]Zhijian Huang, Sihao Lin, Guiyu Liu, Mukun Luo, Chaoqiang Ye, Hang Xu, Xiaojun Chang, Xiaodan Liang:
FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration. ICCV 2023: 3479-3488 - [i3]Zhijian Huang, Sihao Lin, Guiyu Liu, Mukun Luo, Chaoqiang Ye, Hang Xu, Xiaojun Chang, Xiaodan Liang:
FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration. CoRR abs/2307.16617 (2023) - 2022
- [j2]Sihao Lin, Wenhao Wu, Si Wu, Yong Xu, Hau-San Wong:
Unreliable-to-Reliable Instance Translation for Semi-Supervised Pedestrian Detection. IEEE Trans. Multim. 24: 728-739 (2022) - [c3]Sihao Lin, Hongwei Xie, Bing Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang, Gang Wang:
Knowledge Distillation via the Target-aware Transformer. CVPR 2022: 10905-10914 - [i2]Li Liu, Qingle Huang, Sihao Lin, Hongwei Xie, Bing Wang, Xiaojun Chang, Xiaodan Liang:
Exploring Inter-Channel Correlation for Diversity-preserved KnowledgeDistillation. CoRR abs/2202.03680 (2022) - [i1]Sihao Lin, Hongwei Xie, Bing Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang, Gang Wang:
Knowledge Distillation via the Target-aware Transformer. CoRR abs/2205.10793 (2022) - 2021
- [c2]Li Liu, Qingle Huang, Sihao Lin, Hongwei Xie, Bing Wang, Xiaojun Chang, Xiaodan Liang:
Exploring Inter-Channel Correlation for Diversity-preserved Knowledge Distillation. ICCV 2021: 8251-8260 - 2020
- [j1]Si Wu, Wenhao Wu, Shiyao Lei, Sihao Lin, Rui Li, Zhiwen Yu, Hau-San Wong:
Semi-Supervised Human Detection via Region Proposal Networks Aided by Verification. IEEE Trans. Image Process. 29: 1562-1574 (2020)
2010 – 2019
- 2019
- [c1]Si Wu, Sihao Lin, Wenhao Wu, Mohamed Azzam, Hau-San Wong:
Semi-Supervised Pedestrian Instance Synthesis and Detection With Mutual Reinforcement. ICCV 2019: 5056-5065
Coauthor Index
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