Weifeng Ou

Weifeng Ou

BEng, MEng, PhD, MIEEE

Dr. Weifeng Ou

Lecturer
School of Computer Science & Technology
Dongguan University of Technology
Office: 9A-204-11
Email: ouwf@dgut.edu.cn

Bio

Wei-Feng Ou received his B.E. degree in Information Engineering from Guangdong University of Technology in 2013, his M.E. degree in Signal & Information Processing from South China University of Technology in 2016, and his Ph.D. degree in Electrical Engineering from City University of Hong Kong in 2021. He was with Huawei as a Research & Development Engineer from 2016 to 2018 and was with SenseTime as an Algorithm Researcher from 2021~2023. In March 2023, he joined the School of Cyberspace Security, Dongguan University of Technology, where he is currently a Lecturer with the School of Computer Science & Technology.

Research Interests

  • Biometrics, Computer vision, Image & video processing

Selected Publications

  1. WF Ou, LM Po, XF Huang, “Joint Learning of Identity and Vein Features for Enhanced Representations in Vascular Biometrics,” 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
  2. WF Ou, LM Po, XF Huang, WY Yu, YZ Zhao, “GSCL: Generative Self-Supervised Contrastive Learning for Vein-Based Biometric Verification,” IEEE Transactions on Biometrics, Behavior, and Identity Science, 6 (2), 230-244, 2024.
  3. WF Ou, LM Po, C Zhou, PF Xian, JJ Xiong, “GAN-based Inter-class Sample Generation for Contrastive Learning of Vein Image Representations,” IEEE Transactions on Biometrics, Behavior, and Identity Science, 4 (2), 249-262, 2022.
  4. WF Ou, LM Po, C Zhou, YAU Rehman, PF Xian, YJ Zhang, “Fusion Loss and Inter-class Data Augmentation for Deep Finger Vein Feature Learning,” Expert Systems with Applications, 171, 114584, 2021.
  5. WF Ou, CL Yang, WH Li, LH Ma, “A two-stage multi-hypothesis reconstruction scheme in compressed video sensing,” 2016 IEEE International Conference on Image Processing (ICIP), 2494-2498, 2016.
  6. XF Huang, LM Po, WF Ou, “Motion Transfer-Driven Intra-Class Data Augmentation for Finger Vein Recognition,” 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
  7. C Zhou, LM Po, WF Ou, “Angular deep supervised vector quantization for image retrieval,” IEEE Transactions on Neural Networks and Learning Systems, 33 (4), 1638-1649, 2020.
  8. C Zhou, LM Po, WF Ou, PF Xian, KW Cheung, “Deep triplet residual quantization,” Expert Systems with Applications, 184, 115467, 2021.
  9. JJ Xiong, LM Po, WY Yu, C Zhou, PF Xian, WF Ou, “CSRNet: Cascaded Selective Resolution Network for real-time semantic segmentation,” Expert Systems with Applications, 211, 118537, 2023.
  10. YJ Zhang, LM Po, XY Xu, MY Liu, YX Wang, WF Ou, YZ Zhao, WY Yu, “Contrastive spatio-temporal pretext learning for self-supervised video representation,” Proceedings of the AAAI Conference on Artificial Intelligence, 36 (3), 3380-3389, 2022.
  11. YZ Zhao, LM Po, WY Yu, YAU Rehman, MY Liu, YJ Zhang, WF Ou, “Vcgan: Video colorization with hybrid generative adversarial network,” IEEE Transactions on Multimedia, 25, 3017-3032, 2022.
  12. YAU Rehman, LM Po, MY Liu, ZJ Zou, WF Ou, YZ Zhao, “Face liveness detection using convolutional-features fusion of real and deep network generated face images,” Journal of Visual Communication and Image Representation, 59, 574-582, 2019.