CV
Education
- Sep. 2014–Jul. 2018, Bachelor of Engineering, Huazhong Agricultural University
- Sep. 2018–Jul. 2021, Master of Engineering, University of Chinese Academy of Sciences
- Sep. 2021–Present, Ph.D Candidate, University of Chinese Academy of Sciences
Publications
- Yifei Zhang, Chang Liu, Jin Wei, Xiaomeng Yang, Yu Zhou, Can Ma, Xiangyang Ji. Linguistics-aware Masked Image Modeling for Self-supervised Scene Text Recognition. In Proceedings of the IEEE/CVF Conferences on Computer Vision and Pattern Recognition (CVPR), 2025. (CCF-A)
- Yifei Zhang, Chang Liu, Yu Zhou, Weiping Wang, Qixiang Ye, Xiangyang Ji. Beyond Instance Discrimination: Relation-aware Contrastive Self-supervised Learning. In IEEE Transactions on Multimedia (TMM), 2024, 26:4628-4640. (CCF-B, SCI Q1)
- Yifei Zhang, Chang Liu, Yu Zhou, Wei Wang, Weiping Wang, Qixiang Ye. Progressive Cluster Purification for Unsupervised Feature Learning. In IEEE International Conference on Pattern Recognition (ICPR), 2020: 8476-8483. (CCF-C)
- Xiaoni Li, Yu Zhou, Yifei Zhang, Aoting Zhang, Wei Wang, Ning Jiang, Haiying Wu, Weiping Wang. Dense Semantic Contrast for Self-supervised Visual Representation Learning. In Proceedings of the ACM International Conference on Multimedia (MM), 2021: 1368-1376. (CCF-A, Oral presentation)
- Hongyu Li, Yifei Zhang, Dongbao Yang. Cross-architecture Relational Consistency for Point Cloud Self-supervised Learning. In IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2023: 661-668. (CCF-C)
- Xurui Sun, Jiahao Lyu, Yifei Zhang, Gangyan Zeng, Bo Fang, Yu Zhou, Enze Xie, Can Ma. Feature Enhancement with Text-specific Region Contrast for Scene Text Detection. In Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2023: 3-14. (CCF-C, Oral presentation)
- Hongyu Li, Yifei Zhang, Dongbao Yang. Self-supervised Learning Based on Multi-modal Arbitrary Rotation for RGB-D Semantic Segmentation. In Computer Systems & Applications, 2024, 33(1):219-230. (CCF-C)
- Nan Jiang, Yifei Zhang, Dezhao Luo, Chang Liu, Yu Zhou, Zhenjun Han. Feature Hourglass Network for Skeleton Detection. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019: 0-0.
- Chang Liu, Dezhao Luo, Yifei Zhang, Wei Ke, Fang Wan, Qixaing Ye. Parametric Skeleton Generation via Gaussian Mixture Models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW, Oral presentation), 2019: 0-0.
Honors and Awards
- CVPR Parametric SkelNetOn, First Place
- CVPR Point SkelNetOn, Second Place
- MCM/ICM, Meritorious Winner
Certificate Authority Cup International Mathematical Contest in Modeling, Meritorious Winner
- Merit Student, Excellent League Member, Excellent Student Cadre. UCAS
- Merit Student, Excellent League Member, Excellent Student Cadre, Outstanding Graduates. HZAU
- National Encouragement Scholarship. HZAU
Skills
- English: CET-6, National Mandarin Test: 2A
- Python, C/C++, Matlab
- Pytorch, TensorFlow
Service
- Reviewer: CVPR, ICCV, TMM, TCSVT, ICME, ICASSP
- Student Member: China Society of Image and Graphics (CSIG), The Computer Vision Foundation (CVF)