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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.
Computer Vision, Machine Learning, Deep Learning, Generative AI, Medical Image Analysis.
[03/2024] Invited to join as a Senior Program Committee for ECAI 2024
[01/2024] Invited to become an Area Chair for ICIP 2024
[01/2024] Invited to become an Area Chair for ICME 2024
[11/2023] Selected to receive a DUG HPCaaS Grant
[08/2023] One paper accepted by Expert Systems With Applications
[04/2023] Invited to become an Associate Editor of Neural Processing Letters (Springer)
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 ]
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 ]
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 ]
D. Anghelone, C. Chen, A. Ross, A. Dantcheva, "Beyond the Visible: A Survey on Cross-spectral Face Recognition," arXiv preprint, Jan. 2022. [PDF ]
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 ]
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 ]
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 ]
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]
C. Chen, A. Dantcheva, A. Ross, "An Ensemble of Patch-based Subspaces for Makeup-Robust Face Recognition," Information Fusion Journal, 2016. [PDF]
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]
D. Anghelone, P. Faure, C. Chen, A. Ross, A. Dantcheva, "Cross-spectral face recognition training and cross-spectral face recognition method,” EP4198928A1, June 2023.
D. Anghelone, P. Faure, C. Chen, A. Dantcheva, V. Strizhkova, "Thermal face and landmark detection method,” EP4198927A1, June 2023.
IET Image Processing (Associate Editor, 2020 - 2023)
Neural Processing Letters (Associate Editor, 2023 - Present)
Monash University-Chongqing University Online Workshop on Advanced Computation and Life Science [MSU-CQU Workshop]
Advances and Challenges in Face and Gesture based Security Systems (ACFGSS 2020) [FG2020 Special Session]
Workshop on Deepfakes and Presentation Attacks in Biometrics (DeepPAB 2020) [WACV2020 Workshop]
Recent Advances in Heterogeneous Face Recognition (HFR): Infrared-to-Visible Matching [BTAS2019 Tutorial]
European Conference on Artificial Intelligence (ECAI SPC 2024)
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP Session Chair 2021, Area Chair 2023)
IEEE International Conference on Multimedia and Expo (ICME Area Chair 2018-2019, 2021-2024; ICME Session Chair 2021-2022)
IEEE International Conference on Image Processing (ICIP Area Chair 2021-2024, Session Chair 2021)
IEEE Conference on Automatic Face and Gesture Recognition (FG TPC 2017-2020; FG Session Chair 2020; FG Area Chair 2021)
IEEE Workshop on Perception Beyond the Visible Spectrum, in conjunction with CVPR (CVPR-PBVS TPC 2016-2024)
International Conference of the Biometrics Special Interest Group (BIOSIG TPC 2017-2023)
IEEE Senior Member
FIT 5047: Fundamentals of Artificial Intelligence (S1 2022-2024, Monash)
FIT 5201: Machine Learning (T3 2022, S1 2023-2024, Monash)
FIT 5217: Natural Language Processing (T3 2023, Monash)
CSE 891-002: Deep Learning in Biometrics (3.66/4.0) (Spring 2020, MSU)