Tiejun Huang

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 16

Top Topics

Visual Learning

Hybrid Generative Discriminative

Technical Report

Top Venues

Image Vis. Comput.

Publications

Junsheng Zhou, Jinsheng Wang, Baorui Ma, Yu-Shen Liu, Tiejun Huang, Xinlong Wang
Uni3D: Exploring Unified 3D Representation at Scale. ICLR (2024)
Quan Sun, Qiying Yu, Yufeng Cui, Fan Zhang, Xiaosong Zhang, Yueze Wang, Hongcheng Gao, Jingjing Liu, Tiejun Huang, Xinlong Wang
Emu: Generative Pretraining in Multimodality. ICLR (2024)
Xiang Li, Yiqun Yao, Xin Jiang, Xuezhi Fang, Chao Wang, Xinzhang Liu, Zihan Wang, Yu Zhao, Xin Wang, Yuyao Huang, Shuangyong Song, Yongxiang Li, Zheng Zhang, Bo Zhao, Aixin Sun, Yequan Wang, Zhongjiang He, Zhongyuan Wang, Xuelong Li, Tiejun Huang
52B to 1T: Lessons Learned via Tele-FLM Series. CoRR (2024)
Xiang Li, Yiqun Yao, Xin Jiang, Xuezhi Fang, Chao Wang, Xinzhang Liu, Zihan Wang, Yu Zhao, Xin Wang, Yuyao Huang, Shuangyong Song, Yongxiang Li, Zheng Zhang, Bo Zhao, Aixin Sun, Yequan Wang, Zhongjiang He, Zhongyuan Wang, Xuelong Li, Tiejun Huang
Tele-FLM Technical Report. CoRR (2024)
Yuxin Fang, Quan Sun, Xinggang Wang, Tiejun Huang, Xinlong Wang, Yue Cao
EVA-02: A visual representation for neon genesis. Image Vis. Comput. 149 (2024)
Quan Sun, Qiying Yu, Yufeng Cui, Fan Zhang, Xiaosong Zhang, Yueze Wang, Hongcheng Gao, Jingjing Liu, Tiejun Huang, Xinlong Wang
Generative Pretraining in Multimodality. CoRR (2023)
Yuxin Fang, Wen Wang, Binhui Xie, Quan Sun, Ledell Wu, Xinggang Wang, Tiejun Huang, Xinlong Wang, Yue Cao
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale. CVPR (2023)
Baorui Ma, Haoge Deng, Junsheng Zhou, Yu-Shen Liu, Tiejun Huang, Xinlong Wang
GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D Generation. CoRR (2023)
Xundong Wu, Pengfei Zhao, Zilin Yu, Lei Ma, Ka-Wa Yip, Huajin Tang, Gang Pan, Tiejun Huang
Mitigating Communication Costs in Neural Networks: The Role of Dendritic Nonlinearity. CoRR (2023)
Quan Sun, Yufeng Cui, Xiaosong Zhang, Fan Zhang, Qiying Yu, Zhengxiong Luo, Yueze Wang, Yongming Rao, Jingjing Liu, Tiejun Huang, Xinlong Wang
Generative Multimodal Models are In-Context Learners. CoRR (2023)
Xinlong Wang, Wen Wang, Yue Cao, Chunhua Shen, Tiejun Huang
Images Speak in Images: A Generalist Painter for In-Context Visual Learning. CVPR (2023)
Yuxin Fang, Quan Sun, Xinggang Wang, Tiejun Huang, Xinlong Wang, Yue Cao
EVA-02: A Visual Representation for Neon Genesis. CoRR (2023)
Xinlong Wang, Xiaosong Zhang, Yue Cao, Wen Wang, Chunhua Shen, Tiejun Huang
SegGPT: Towards Segmenting Everything In Context. ICCV (2023)
Junsheng Zhou, Jinsheng Wang, Baorui Ma, Yu-Shen Liu, Tiejun Huang, Xinlong Wang
Uni3D: Exploring Unified 3D Representation at Scale. CoRR (2023)
Yuxin Fang, Wen Wang, Binhui Xie, Quan Sun, Ledell Wu, Xinggang Wang, Tiejun Huang, Xinlong Wang, Yue Cao
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale. CoRR (2022)
Xinlong Wang, Wen Wang, Yue Cao, Chunhua Shen, Tiejun Huang
Images Speak in Images: A Generalist Painter for In-Context Visual Learning. CoRR (2022)