Sihao Lin

According to our database, Sihao Lin authored at least 15 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

BossNAS Family: Block-Wisely Self-Supervised Neural Architecture Search.

Changlin Li, Sihao Lin, Tang Tao, Guangrun Wang, Mingjie Li, Xiaodan Liang, Xiaojun Chang

IEEE Trans. Pattern Anal. Mach. Intell., May, 2025

Learning A Zero-shot Occupancy Network from Vision Foundation Models via Self-supervised Adaptation.

Sihao Lin, Daqi Liu, Ruochong Fu, Dongrui Liu, Andy Song, Hongwei Xie, Zhihui Li, Bing Wang, Xiaojun Chang

CoRR, March, 2025

TransMamba: Fast Universal Architecture Adaption from Transformers to Mamba.

Xiuwei Chen, Sihao Lin, Xiao Dong, Zisheng Chen, Meng Cao, Jianhua Han, Hang Xu, Xiaodan Liang

CoRR, February, 2025

2024

Context Matters: Distilling Knowledge Graph for Enhanced Object Detection.

Aijia Yang, Sihao Lin, Chung-Hsing Yeh, Minglei Shu, Yi Yang, Xiaojun Chang

IEEE Trans. Multim., 2024

Efficient Training of Large Vision Models via Advanced Automated Progressive Learning.

Changlin Li, Jiawei Zhang, Sihao Lin, Zongxin Yang, Junwei Liang, Xiaodan Liang, Xiaojun Chang

CoRR, 2024

Self-Supervised Multi-Frame Neural Scene Flow.

Dongrui Liu, Daqi Liu, Xueqian Li, Sihao Lin, Hongwei Xie, Bing Wang, Xiaojun Chang, Lei Chu

CoRR, 2024

Making Large Language Models Better Planners with Reasoning-Decision Alignment.

Zhijian Huang, Tao Tang, Shaoxiang Chen, Sihao Lin, Zequn Jie, Lin Ma, Guangrun Wang, Xiaodan Liang

Proceedings of the Computer Vision - ECCV 2024, 2024

MLP Can Be a Good Transformer Learner.

Sihao Lin, Pumeng Lyu, Dongrui Liu, Tao Tang, Xiaodan Liang, Andy Song, Xiaojun Chang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration.

Zhijian Huang, Sihao Lin, Guiyu Liu, Mukun Luo, Chaoqiang Ye, Hang Xu, Xiaojun Chang, Xiaodan Liang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Unreliable-to-Reliable Instance Translation for Semi-Supervised Pedestrian Detection.

Sihao Lin, Wenhao Wu, Si Wu, Yong Xu, Hau-San Wong

IEEE Trans. Multim., 2022

Exploring Inter-Channel Correlation for Diversity-preserved KnowledgeDistillation.

Li Liu, Qingle Huang, Sihao Lin, Hongwei Xie, Bing Wang, Xiaojun Chang, Xiaodan Liang

CoRR, 2022

Knowledge Distillation via the Target-aware Transformer.

Sihao Lin, Hongwei Xie, Bing Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang, Gang Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Exploring Inter-Channel Correlation for Diversity-preserved Knowledge Distillation.

Li Liu, Qingle Huang, Sihao Lin, Hongwei Xie, Bing Wang, Xiaojun Chang, Xiaodan Liang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Semi-Supervised Human Detection via Region Proposal Networks Aided by Verification.

Si Wu, Wenhao Wu, Shiyao Lei, Sihao Lin, Rui Li, Zhiwen Yu, Hau-San Wong

IEEE Trans. Image Process., 2020

2019

Semi-Supervised Pedestrian Instance Synthesis and Detection With Mutual Reinforcement.

Si Wu, Sihao Lin, Wenhao Wu, Mohamed Azzam, Hau-San Wong

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019