OCNet: Object Context for Semantic Segmentation
Yuhui Yuan, Lang Huang, Jianyuan Guo, Chao Zhang, Xilin Chen, Jingdong Wang (2021). "OCNet: Object Context for Semantic Segmentation; International Journal of Computer Vision.
CV
You can find my CV here.
Education
- Ph.D in Information and Communication Engineering, The University of Tokyo, 2024 (expected)
- M.S. in Intelligence Science, Peking University, 2021
- B.S. in Computer Science, Beijing University of Posts and Telecommunications, 2018
Industry experience
- May 2023 - Auguest 2023: Research Intern
- Adobe, San Jose
- Research topic: Multi-modal representation learning
- Auguest 2021 - October 2022: Research Intern
- SenseTime Research, Beijing
- Research topic: Self-supervised representation learning
Publications
Interlaced Sparse Self-Attention for Semantic Segmentation
Lang Huang, Yuhui Yuan, Jianyuan Guo, Chao Zhang, Xilin Chen, Jingdong Wang (2019). "Interlaced Sparse Self-Attention for Semantic Segmentation; arXiv:1907.12273.
Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification
Jianyuan Guo, Yuhui Yuan, Lang Huang, Chao Zhang, Jin-Ge Yao and Kai Han (2019). "Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification; International Conference on Computer Vision.
Self-Adaptive Training: beyond Empirical Risk Minimization
Lang Huang, Chao Zhang, Hongyang Zhang (2020). "Self-Adaptive Training: beyond Empirical Risk Minimization; Thirty-fourth Conference on Neural Information Processing Systems.
HRFormer: High-Resolution Vision Transformer for Dense Prediction
Yuhui Yuan, Rao Fu, Lang Huang, Weihong Lin, Chao Zhang, Xilin Chen, Jingdong Wang (2021). "HRFormer: High-Resolution Vision Transformer for Dense Prediction; Thirty-fifth Conference on Neural Information Processing Systems.
Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning
Lang Huang, Chao Zhang, Hongyang Zhang (2022). "Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning; IEEE Transactions on Pattern Analysis and Machine Intelligence.
Learning Where to Learn in Cross-View Self-Supervised Learning
Lang Huang, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Toshihiko Yamasaki (2022). "Learning Where to Learn in Cross-View Self-Supervised Learning; IEEE/CVF Conference on Computer Vision and Pattern Recognition.
SimMatch: Semi-supervised Learning with Similarity Matching
Mingkai Zheng, Shan You, Lang Huang, Fei Wang, Chen Qian, Chang Xu (2022). "SimMatch: Semi-supervised Learning with Similarity Matching; IEEE/CVF Conference on Computer Vision and Pattern Recognition.
Green Hierarchical Vision Transformer for Masked Image Modeling
Lang Huang, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Toshihiko Yamasaki (2022). "Green Hierarchical Vision Transformer for Masked Image Modeling; Thirty-sixth Conference on Neural Information Processing Systems.
LightViT: Towards Light-Weight Convolution-Free Vision Transformers
Tao Huang, Lang Huang, Shan You, Fei Wang, Chen Qian, Chang Xu (2022). "LightViT: Towards Light-Weight Convolution-Free Vision Transformers; arXiv/2207.05557.
Service
- Reviewer for DMLR, CVPR2022-2024, ICLR2024, NeurIPS2023, ICCV2023, ECCV2022, AAAI2022-2023.