🎓 About Me

Chunfeng Song (宋纯锋) is currently a Research Scientist at Shanghai AI Laboratory, working closely with Prof. Wanli Ouyang. Before that, he was an Associate Professor with the Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), working with Prof. Tieniu Tan and Prof. Zhaoxiang Zhang. He received the PhD degree from CASIA, and the University of Chinese Academy of Sciences (UCAS) in 2020, under the supervision of Prof. Liang Wang. He has published more than 30 conference and journal papers such as IEEE TPAMI, TIP, IJCV, PR, CVPR, ECCV, AAAI. His current research focuses on AI for science, especially Neuroscience and Brain science.

🔈 Join Us

Please feel free to contact me via Email for possible cooperation if you are interested in our projects or AI4Neuroscience research!

随时欢迎对科学智能、神经科学、脑机接口等方向感兴趣的学者/研究生/本科生/实习生通过邮件联系交流与合作!

🔥 News

  • 2025.02:   One paper accepted by CVPR2025.
  • 2024.12:   One paper accepted by AAAI2025.
  • 2023.07:   One paper accepted by IEEE TPAMI.
  • 2022.06:   One paper accepted by IEEE TPAMI.

📄 Pre-Prints

(†Equal contribution, *Corresponding authors)

arXiv 2025

MindAligner: Explicit Brain Functional Alignment for Cross-Subject Visual Decoding from Limited fMRI Data [Paper]

Yuqin Dai†, Zhouheng Yao†, Chunfeng Song, Qihao Zheng, Weijian Mai, Kunyu Peng, Shuai Lu, Wanli Ouyang, Jian Yang*, Jiamin Wu*

bioRxiv 2024

UniSPAC: A Unified Segmentation Framework for Proofreading and Annotation in Connectomics [Paper] [Code]

Juntao Deng†, Jiamin Wu†, Changmin Chen, Qihao Zheng, Zhaoxiang Zhang, Jingpeng Wu*, Wanli Ouyang*, Chunfeng Song*

arXiv 2024

Neuro-3D: Towards 3D Visual Decoding from EEG Signals [Paper] [Code] [Dataset]

Zhanqiang Guo†, Jiamin Wu†, Yonghao Song, Weijian Mai, Qihao Zheng, Wanli Ouyang*, Chunfeng Song*

Accepted by CVPR 2025

📝 Selected Publications

(†Equal contribution, *Corresponding authors)

AAAI ORAL 2025

Multi-Modal Latent Variables for Cross-Individual Primary Visual Cortex Modeling and Analysis [Paper]

Yu Zhu, Bo Lei, Chunfeng Song*, Wanli Ouyang, Shan Yu*, Tiejun Huang

Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 2025

TPAMI 2023

Weakly Supervised Semantic Segmentation via Box-driven Masking and Filling Rate Shifting [Paper] [Code]

Chunfeng Song, Wanli Ouyang, Zhaoxiang Zhang*

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2023

TPAMI 2023

Learning to Adapt Across Dual Discrepancy for Cross-Domain Person Re-Identification [Paper] [Code]

Chuanchen Luo, Chunfeng Song, Zhaoxiang Zhang*

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2023

TPAMI 2022

CASIA-E: A Large Comprehensive Dataset for Gait Recognition [Paper] [Dataset]

Chunfeng Song†, Yongzhen Huang†, Weining Wang, and Liang Wang*

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2022

CVPR 2022

The devil is in the details: Window-based attention for image compression [Paper] [Code]

Renjie Zou, Chunfeng Song, and Zhaoxiang Zhang*

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022

PR 2019

GaitNet: An End-to-end Network for Video-based Human Identification [Paper] [Code]

Chunfeng Song, Yongzhen Huang, Yan Huang, Ning Jia, and Liang Wang*

Pattern Recognition (PR) 2022

CVPR 2019

Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation [Paper] [Code]

Chunfeng Song, Yan Huang, Wanli Ouyang, and Liang Wang*

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019

CVPR 2018

Mask-guided Contrastive Attention Model for Person Re-Identification [Paper] [Code]

Chunfeng Song, Yan Huang, Wanli Ouyang, and Liang Wang

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2018

CIARP 2013

Auto-encoder Based Data Clustering [Paper] [Code]

Chunfeng Song, Feng Liu, Yongzhen Huang, Liang Wang, Tieniu Tan

Iberoamerican Congress on Pattern Recognition (CIARP) 2013 *My first paper

💬 Invited Talks

🌏 Academic Services