Chunfeng Song   宋纯锋

PI of AI4Neuroscience Group

Shanghai AI Lab

Google Scholar   GitHub

✉  songchunfeng@pjlab.org.cn

Biography

Chunfeng Song is currently a Research Scientist at Shanghai AI Laboratory, working 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. Tienniu Tan and Prof. Zhaoxiang Zhang. He received the PhD degree from 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.

News!

• 🚀We are hiring full-time researchers and part-time interns working together on our projects. Please drop me an email if you are interested.

• 🔥2024.01: I have joined Shanghai AI Lab.

• 🔥2023.07: One paper was accepted by IEEE TPAMI.

• 🔥2022.06: One paper was accepted by IEEE TPAMI.

• 🔥2022.03: One paper was accepted by CVPR.

Selected Publications

1. Chunfeng Song, Wanli Ouyang, Zhaoxiang Zhang*. Weakly Supervised Semantic Segmentation via Box-driven Masking and Filling Rate Shifting. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), accepted, 2023. [Paper] [Code]

2. Chunfeng Song#, Yongzhen Huang#, Weining Wang, and Liang Wang*. CASIA-E: A Large Comprehensive Dataset for Gait Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2022. [Paper] [Dataset]

3. Chuanchen Luo, Chunfeng Song, and Zhaoxiang Zhang*. Learning to Adapt Across Dual Discrepancy for Cross-Domain Person Re-Identification. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI),  2022. [Paper] [Code]

4. Renjie Zou, Chunfeng Song, and Zhaoxiang Zhang. The devil is in the details: Window-based attention for image compression.IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [Paper] [Code]

5. Chunfeng Song, Yongzhen Huang, Yan Huang, Ning Jia, and Liang Wang*. GaitNet: An End-to-end Network for Video-based Human Identification. Pattern Recognition (PR), 2019.[Paper] [Code]

6. Chunfeng Song, Yan Huang, Wanli Ouyang, and Liang Wang*. Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [Paper] [Code]

7. Chunfeng Song, Yan Huang, Wanli Ouyang, and Liang Wang. Mask-guided Contrastive Attention Model for Person Re-Identification. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [Paper] [Code]

8. Chunfeng Song, Feng Liu, Yongzhen Huang, Liang Wang, and Tieniu Tan. Auto-encoder Based Data Clustering. Iberoamerican Congress on Pattern Recognition (CIAPR, ORAL), 2013. [Code]

Full list refer to DBLP and Google Scholar.