方鹏飞 (Pengfei FANG)
Ph.D., Associate Professor
Pattern Learning and Mining (PALM) Lab
School of Computer Science and Engineering,Southeast University, Nanjing, China
Email: fangpengfei(at)seu.edu.cn
Office: Room 527, Computer Science Building, Jiulonghu Campus, Southeast University
Short Bio:
I am an Associate Professor at the School of Computer Science and Engineering, Southeast University (SEU), China, and I am also a member of the PALM lab. Before joining SEU, I was a post-doctoral fellow at Monash University in 2022. I received the Ph.D. degree from the Australian National University and DATA61-CSIRO in 2022, and the M.E. degree from the Australian National University in 2017. My research interests include computer vision and machine learning.
欢迎2024年入学的推免生与我联系!
Research Interest:
Machine Learning
Computer Vision
Geometric Learning
Selected Publications:
[8] Pengfei Fang, Jieming Zhou, Soumava Kumar Roy, Pan Ji, Lars Petersson and Mehrtash Harandi. Attention in Attention Networks for Person Retrieval.TPAMI 2022.
[7] Pengfei Fang, Xian Li, Yang Yan, Shuai Zhang, Qiyue Kang, Xiaofei Li and Zhenzhong Lan. Connecting the Dots in Self-supervised Learning: A Brief Survey for Beginners. JCST 2022.
[6] Pengfei Fang, Mehrtash Harandi and Lars Petersson. Kernel Methods in Hyperbolic Spaces. ICCV 2021.
[5] Pengfei Fang, Jieming Zhou, Soumava Kumar Roy, Lars Petersson and Mehrtash Harandi. Bilinear Attention Networks for Person Retrieval. ICCV 2019.
[4] Pengfei Fang, Pan Ji, Lars Petersson and Mehrtash Harandi. Set Augmented Triplet Loss for Video Person Re-Identification. WACV 2021.
[3] Pengfei Fang, Jieming Zhou, Pan Ji, Lars Petersson and Mehrtash Harandi. Channel Recurrent Attention Networks for Video Pedestrian Retrieval. ACCV 2020.
[2] Rongkai Ma, Pengfei Fang*, Gil Avraham, Yan Zuo, Tianyu Zhu, Tom Drummond and Mehrtash Harandi. Learning Instance and Task-Aware Dynamic Kernels for Few-Shot Learning. ECCV 2022.(*: Corresponding author)
[1] Rongkai Ma, Pengfei Fang*, Tom Drummond and Mehrtash Harandi. Adaptive Poincaré Point to Set Distance for Few-Shot Classification. AAAI 2022. (*: Corresponding author)
Academic Services:
Program Committee
NeurIPS 2023, IJCAI 2023, CVPR 2023, ACCV 2022, NeurIPS 2022, ACM MM 2022, ECCV 2022, ICML 2022, CVPR 2022...
Journal Reviewer
TPAMI, IJCV, TIP, TNNLS, TMM, IVC...