Cunjian Chen

Department of Data Science and Artificial Intelligence Faculty of Information Technology Monash University 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 under the supervision of Arun Ross and Antitza Dantcheva. Prior to joining Monash, he worked as a Senior Research Associate at Michigan State University with Arun Ross. His research interests focus on Generative Models and their applications in Computer Vision. He is also a Senior Member of IEEE and leads the Image and Vision Lab.

Research Interests

• Generative AI, Computer Vision, Deep Learning, Medical Image Analysis.

Research Opportunities

• 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. The salary is competitive, and excellent students will be recommended for PhD studies abroad.

Updates

• [10/2024] One paper on Video Synthesis (LaVie) was accepted by IJCV.

• [09/2024] One paper on Adversarial Purification was accepted by TDSC.

• [09/2024] One Survey paper was accepted by Neurocomputing.

• [08/2024] One paper on Video Synthesis was accepted by IJCV.

• [07/2024] One paper on Animation was released on arXiv.

• [07/2024] One paper was accepted by ACMMM 2024.

• [05/2024] One paper was accepted by ACM TOMM.

• [03/2024] Invited to join as a Senior Program Committee for ECAI 2024.

Selected Publications

• LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models
  Yaohui Wang, Xinyuan Chen, Xin Ma, Shangchen Zhou, Ziqi Huang, Yi Wang, Ceyuan Yang, Yinan He, Jiashuo Yu, Peiqing Yang, Yuwei Guo, Tianxing Wu, Chenyang Si, Yuming Jiang, Cunjian Chen, Chen Change Loy, Bo Dai, Dahua Lin, Yu Qiao, Ziwei Liu
  International Journal of Computer Vision (IJCV), October 2024
  PDF | Code

• Iterative Window Mean Filter: Thwarting Diffusion-based Adversarial Purification
  Hanrui Wang, Ruoxi Sun, Cunjian Chen, Minhui Xue, Lay-Ki Soon, Shuo Wang, Zhe Jin
  IEEE Transactions on Dependable and Secure Computing (TDSC), September 2024
  PDF | Code

• Beyond the Visible: A Survey on Cross-spectral Face Recognition
  David Anghelone, Cunjian Chen, Arun Ross, Antitza Dantcheva
  Neurocomputing, September 2024

• LEO: Generative Latent Image Animator for Human Video Synthesis
  Yaohui Wang, Xin Ma, Xinyuan Chen, Cunjian Chen, Antitza Dancheva, Bo Dai, Yu Qiao
  International Journal of Computer Vision (IJCV), August 2024

• Cinemo: Consistent and Controllable Image Animation with Motion Diffusion Models
  Xin Ma, Yaohui Wang, Gengyun Jia, Xinyuan Chen, Yuan-Fang Li, Cunjian Chen, Yu Qiao
  arXiv preprint, July 2024
  PDF | Code

• DiffTV: Identity-Preserved Thermal-to-Visible Face Translation via Feature Alignment and Dual-Stage Conditions
  Jingyu Lin, Guiqin Zhao, Jing Xu, Guoli Wang, Zejin Wang, Antitza Dantcheva, Lan Du, Cunjian Chen
  In Proceeding of ACM Multimedia (ACMMM), Melbourne, Australia, Oct. 2024 - Nov. 2024

• A Multi-task Adversarial Attack Against Face Authentication
  Hanrui Wang, Shuo Wang, Cunjian Chen, Massimo Tistarelli, Zhe Jin
  ACM Transactions on Multimedia Computing, Communications and Applications (TOMM), May 2024

• Latte: Latent Diffusion Transformer for Video Generation
  Xin Ma, Yaohui Wang, Gengyun Jia, Xinyuan Chen, Ziwei Liu, Yuan-Fang Li, Cunjian Chen, Yu Qiao
  arXiv preprint, Jan. 2024
  PDF | Code

• Uncertainty-Aware Image Inpainting with Adaptive Feedback Network
  Xin Ma, Xiaoqiang Zhou, Huaibo Huang, Gengyun Jia, Yaohui Wang, Xinyuan Chen, Cunjian Chen
  Expert Systems with Applications (ESWA), Jan. 2024
  PDF | Code

>>> See full publication list

Patents

• Cross-spectral Face Recognition Training and Cross-spectral Face Recognition Method
  David Anghelone, Philippe Faure, Cunjian Chen, Arun Ross, Antitza Dantcheva
  EP4198928A1, Jun. 2023

• Thermal Face and Landmark Detection Method
  David Anghelone, Philippe Faure, Cunjian Chen, Antitza Dantcheva, Valeriya Strizhkova
  EP4198927A1, Jun. 2023

Editorial Board

• IET Image Processing (Associate Editor, 2020 - 2023)

• Neural Processing Letters (Associate Editor, 2023 - Present)

Organizing Activities

• 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]

Selected Services

• 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)

Teaching

• 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)