Publications
Highlight
ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal Models
Chunjiang Ge, Sijie Cheng, Ziming Wang, Jiale Yuan, Yuan Gao, Jun Song, Shiji Song, Gao Huang, Bo Zheng
TL; DR: We propose to employ a five stage ConvNeXt as the visual encoder of LMM to compress visual tokens, greatly improves performance on high resolution benchmarks and efficiency.
Domain Adaptation via Prompt Learning
Chunjiang Ge, Rui Huang, Mixue Xie, Zihang Lai, Shiji Song, Shuang Li, Gao Huang.
TL; DR: We propose a novel domain adaptation method, DAPrompt, which learns a set of domain-specific prompts to avoid information loss resulted from domain alignment.
MultiModal Large Language Models (MLLM)
ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal Models
Chunjiang Ge, Sijie Cheng, Ziming Wang, Jiale Yuan, Yuan Gao, Jun Song, Shiji Song, Gao Huang, Bo Zheng
arXiv code
Llava-uhd: an lmm perceiving any aspect ratio and high-resolution images
Ruyi Xu, Yuan Yao, Zonghao Guo, Junbo Cui, Zanlin Ni, Chunjiang Ge, Tat-Seng Chua, Zhiyuan Liu, Maosong Sun, Gao Huang.
arXiv
Traditional Computer Vision
Domain Adaptation via Prompt Learning
Chunjiang Ge, Rui Huang, Mixue Xie, Zihang Lai, Shiji Song, Shuang Li, Gao Huang.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS) (IF: 10.4)
arXiv code
On the Integration of Self-Attention and Convolution
Pan, Xuran, Chunjiang Ge, Rui Lu, Shiji Song, Guanfu Chen, Zeyi Huang, and Gao Huang.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022)
arXiv Code
Cross-Modal Adapter for Text-Video Retrieval
Haojun Jiang, Jianke Zhang, Rui Huang, Chunjiang Ge, Zanlin Ni, Shiji Song, Gao Huang
Pattern Recognition (PR) (IF: 7.5)
arXiv code
Causal Intervention for Human Trajectory Prediction with Cross Attention Mechanism
Chunjiang Ge, Shiji Song and Gao Huang.
AAAI Conference on Artificial Intelligence (AAAI 2023)
paper
Large scale air pollution prediction with deep convolutional networks
Chunjiang Ge$^\ast$, Gao Huang, Tianyu Xiong, Shiji Song, Le Yang, Baoxian Liu, Wenjun Yin and Cheng Wu.
Science China Information Sciences. (IF:8.8)
Paper
Using human feedback to fine-tune diffusion models without any reward model
Kai Yang, Jian Tao, Jiafei Lyu, Chunjiang Ge, Jiaxin Chen, Weihan Shen, Xiaolong Zhu, Xiu Li.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.
Paper
Demystify Mamba in Vision: A Linear Attention Perspective
Dongchen Han, Ziyi Wang, Zhuofan Xia, Yizeng Han, Yifan Pu, Chunjiang Ge, Jun Song, Shiji Song, Bo Zheng, Gao Huang.
Paper