Overview
Dr. Chunfeng Song received the BSc degree from QiLu University of Technology in 2012, the MSc degree from North China Electric Power University in 2016, and the PhD degree from University of Chinese Academy of Sciences (UCAS) in 2019. Since December 2019, he has joined the Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA) as an Associate Professor. He has published several conference and journal papers on IEEE CVPR/AAAI/BMVC/PR. His current research focuses on person identification, image segmentation, and data clustering.
Research Area
Computer vision, biometrics, face preprocessing
Selected Publications
1.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.
2.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.
3.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, 96: 106988.
4.Chunfeng Song, Feng Liu, Yongzhen Huang, Liang Wang, and Tieniu Tan. Auto-encoder Based Data Clustering. Iberoamerican Congress on Pattern Recognition (CIAPR, ORAL), 2013.
5.Chuanchen Luo, Chunfeng Song, and Zhaoxiang Zhang. Generalizing Person Re-Identification by Camera-Aware Invariance Learning and Cross-Domain Mixup. European Conference on Computer Vision (ECCV), 2020.
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