Cunjian Chen

This is Cunjian Chen at MSU 

Department of Data Science and Artificial Intelligence
Faculty of Information Technology
Monash University

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Cunjian Chen is currently a Research Fellow at Monash Suzhou and an Adjunct Lecturer (Assistant Professor) at Monash University Australia. He obtained his Ph.D. in Computer Science from West Virginia University. Before joining Monash, he worked as a Senior Research Associate with Arun Ross at Michigan State University. Dr. Chen's research interests focus on Generative Models and their applications in computer vision. He is also a Senior Member of IEEE and directs the Image and Vision Lab.

We are constantly seeking highly motivated students interested in pursuing a PhD at Monash University to join our research team. The ideal applicant should possess strong skills in both mathematics and programming. Preference will be given to applicants with publications in top venues. If you are interested, please send me your CV. Additionally, I am also looking for Research Assistants/Interns.

Research Interests

Updates

Selected Publications

  1. X. Ma, X. Zhou, H. Huang, G. Jia, Y. Wang, X. Chen, C. Chen, “Uncertainty-Aware Image Inpainting with Adaptive Feedback Network,” Expert Systems With Applications (ESWA), August 2023. [PDF ]

  2. C. Chen, D. Anghelone, P. Faure, A. Dantcheva, “Attention-Guided Generative Adversarial Network for Explainable Thermal to Visible Face Recognition,” Proc. of International Joint Conference on Biometrics (IJCB), October 2022. [PDF ]

  3. D. Anghelone, S. Lannes, V. Strizhkova, P. Faure, C. Chen, A. Dantcheva, “TFLD: Thermal Face and Landmark Detection for Unconstrained Cross-spectral Face Recognition,” Proc. of International Joint Conference on Biometrics (IJCB), October 2022. [PDF ]

  4. D. Anghelone, C. Chen, A. Ross, A. Dantcheva, "Beyond the Visible: A Survey on Cross-spectral Face Recognition," arXiv preprint, Jan. 2022. [PDF ]

  5. H. Wang, S. Wang, Z. Jin, Y. Wang, C. Chen, M. Tistarelli, “Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition,” Proc. of 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG), December 2021. [PDF ]

  6. D. Anghelone, C. Chen, P. Faure, A. Ross, A. Dantcheva, “Explainable Thermal to Visible Face Recognition Using Latent-Guided Generative Adversarial Network,” Proc. of 16th IEEE International Conference on Automatic Face & Gesture Recognition (FG), December 2021. [PDF ]

  7. S. Yadav, C. Chen, A. Ross, “Relativistic Discriminator: A One-Class Classifier for Generalized Iris Presentation Attack Detection,” Proc. of IEEE Winter Conference on Applications of Computer Vision (WACV), (Aspen, USA), March 2020. [PDF ]

  8. C. Chen and A. Ross, "Matching Thermal to Visible Face Images Using a Semantic-Guided Generative Adversarial Network,” Proc. of 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG), (Lille, France), May 2019. [PDF] [Code]

  9. C. Chen, A. Dantcheva, A. Ross, "An Ensemble of Patch-based Subspaces for Makeup-Robust Face Recognition," Information Fusion Journal, 2016. [PDF]

  10. C. Chen and A. Ross, "Matching Thermal to Visible Face Images Using Hidden Factor Analysis in a Cascaded Subspace Learning Framework,” Pattern Recognition Letters, 2016. [PDF]

Patents

  1. D. Anghelone, P. Faure, C. Chen, A. Ross, A. Dantcheva, "Cross-spectral face recognition training and cross-spectral face recognition method,” EP4198928A1, June 2023.

  2. D. Anghelone, P. Faure, C. Chen, A. Dantcheva, V. Strizhkova, "Thermal face and landmark detection method,” EP4198927A1, June 2023.

Editorial Board

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