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 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.

Research Interests

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Selected Publications

  1. 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 ]

  2. 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.

  3. 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 ]

  4. 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.

  5. 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 ]

  6. 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 ]

  7. 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 ]

  8. 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 ]

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

  10. 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 ]

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.

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