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Department of Data Science and Artificial Intelligence Email / Google Scholar / Github / Group |
Cunjian Chen is currently a Research Fellow at Monash University 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.
Computer Vision, Machine Learning, Deep Learning, Generative AI, Medical Image Analysis.
Several Research Assistants/Intern positions are available. We are seeking highly motivated students interested in AI Generated Content (AIGC), with a strong background in mathematics and programming. Preference will be given to applicants with publications in top venues. If you are interested, please send me your CV.
[07/2024] One paper on Animation released on arXiv
[07/2024] One paper accepted by ACMMM 2024
[05/2024] One paper on Action-OOD released on arXiv
[05/2024] One paper accepted by ACM TOMM
[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
X. Ma, Y. Wang, G. Jia, X. Chen, YF. Li, C. Chen, Y. Qiao, “Cinemo: Consistent and Controllable Image Animation with Motion Diffusion Models,” arXiv preprint, July 2024. [Code ]
J. Lin, G. Zhao, J. Xu, G. Wang, Z. Wang, A. Dantcheva, L. Du, C. Chen, “DiffTV: Identity-Preserved Thermal-to-Visible Face Translation via Feature Alignment and Dual-Stage Conditions,” Proc. of 32nd ACM Multimedia Conference (ACMMM), 28 October - 1 November 2024.
J. Xu, A. Zhu, J. Lin, Q. Ke, C. Chen, “Action-OOD: An End-to-End Skeleton-Based Model for Robust Out-of-Distribution Human Action Detection,” arXiv preprint, May 2024. [Code ]
H. Wang, S. Wang, C. Chen, M. Tistarelli, Z. Jin, “A Multi-task Adversarial Attack Against Face Authentication,” ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), May 2024.
X. Ma, Y. Wang, G. Jia, X. Chen, Z. Liu, YF. Li, C. Chen, Y. Qiao, “Latte: Latent Diffusion Transformer for Video Generation,” arXiv preprint, Jan. 2024. [Code ]
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 ]
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 ]
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)
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 2023-2024, Monash)
CSE 891-002: Deep Learning in Biometrics (3.66/4.0) (Spring 2020, MSU)