Shen Chen (陈燊)

I am a Researcher at Tencent Youtu Lab, where I work on computer vision and machine learning. And my research interests are deepfake detection, face anti-spoofing and image forensics.

I finished the master's study and obtained my M.S. degree from Xiamen University in 2021, advised by Prof. Rongrong Ji. Earlier, I received the B.S.degree from Fuzhou University in 2018.

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Publications (* equal contribution, # corresponding author)

Enhancing Tampered Text Detection through Frequency Feature Fusion and Decomposition
Z. Chen*, S. Chen*, T. Yao, K. Sun, S. Ding#, X. Lin, L. Cao, R. Ji#
European Conference on Computer Vision (ECCV), 2024
[Paper] (Coming soon)

Rethinking Open-World DeepFake Attribution with Multi-Perspective Sensory Learning
Z. Sun*, S. Chen*, T. Yao, R. Yi#, S. Ding#, L. Ma
International Journal of Computer Vision (IJCV), 2023
[Paper] (Coming soon)

Continual Face Forgery Detection via Historical Distribution Preserving
K. Sun, S. Chen, T. Yao, X. Sun, S. Ding, R. Ji#
International Journal of Computer Vision (IJCV), 2023
[arXiv]
Contrastive Pseudo Learning for Open-World DeepFake Attribution
Z. Sun*, S. Chen*, T. Yao, B. Yin, R. Yi#, S. Ding#, L. Ma
International Conference on Computer Vision (ICCV), 2023
[Paper] [Code]

An Information Theoretic Approach for Attention-Driven Face Forgery Detection
K. Sun, H. Liu, T. Yao, X. Sun, S. Chen, S. Ding and R. Ji#
European Conference on Computer Vision (ECCV), 2022
[Paper]

End-to-End Reconstruction-Classification Learning for Face Forgery Detection
J. Cao, C. Ma#, T. Yao, S. Chen, S. Ding and X. Yang
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
[Paper] [Code]

Dual contrastive learning for general face forgery detection
K. Sun, T. Yao, S. Chen, S. Ding#, J. Li and R. Ji#
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2021
[Paper] [Code]

Exploiting fine-grained face forgery clues via progressive enhancement learning
Q. Gu*, S. Chen*, T. Yao, Y. Chen, S. Ding# and R. Yi
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2021
[Paper]

A Dual-stream Framework for 3D Mask Face Presentation Attack Detection
S. Chen, T. Yao, K. Zhang, Y. Chen, K. Sun, S. Ding#, J. Li, F. Huang and R. Ji
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2021
[Paper]

Local Relation Learning for Face Forgery Detection
S. Chen, T. Yao*, Y. Chen, S. Ding#, J. Li, and R. ji#.
AAAI Conference on Artificial Intelligence (AAAI), 2021
[Paper]

Similarity-preserving linkage hashing for online image retrieval
M. Lin, R. Ji#, S. Chen, X. Sun and CW. Lin
IEEE Transactions on Image Processing (TIP), 2020
[Paper]

Hadamard Matrix Guided Online Hashing
M. Lin, R. Ji#, H. Liu, X. Sun, S. Chen and Q. Tian
International Journal of Computer Vision (IJCV) , 2020
[Paper] [Code]

Preprints (* equal contribution, # corresponding author)

DF40: Toward Next-Generation Deepfake Detection
Z. Yan, T. Yao, S. Chen, Y. Zhao, X. Fu, J. Zhu, D. Luo, L. Yuan, C. Wang, S. Ding, Y. Wu
arXiv, 2024
[arXiv]
Rank-based No-reference Quality Assessment for Face Swapping
X. Zhou, W. Zhou, T. Wei, S. Chen, T. Yao, S. Ding, W. Zhang, N. Yu
arXiv, 2024
[arXiv]
Towards General Visual-Linguistic Face Forgery Detection
K. Sun, S. Chen, T. Yao, X. Sun, S. Ding, R. Ji#
arXiv, 2023
[arXiv]
DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results
S. Chen, T. Yao, S. Ding#, J. Li, F. Huang and R. Ji
arXiv, 2021
[arXiv]
Hadamard Codebook Based Deep Hashing
S. Chen, L. Cao, M. Lin, Y. Wang, X. Sun, C. Wu, J. Qiu and R. Ji#
arXiv, 2019
[arXiv] [Code]

Supervised Online Hashing via Similarity Distribution Learning
M. Lin, R. Ji#, S. Chen, F. Zheng, X. Sun, B. Zhang, L. Cao, G. Guo and F. Huang
arXiv, 2019
[arXiv]

Awards

  • Second Place, Deepfake Video Generation Methods Identify Track, The 4'th China AI Competition 2023 (Team leader: Shen Chen)

  • First Place, Deepfake Security Challenge, AISC 2022 (Team leader: Shen Chen)

  • Third Place, ForgeryNet: Face Forgery Analysis Challenge 2021 Track 1: Forgery Image Analysis, CVPR 2021 (Team leader: Shen Chen)

  • Second Place, ForgeryNet: Face Forgery Analysis Challenge 2021 Track 2: Forgery Video Analysis, CVPR 2021

  • Second Place, 3D High-Fidelity Mask Attack Detection Challenge, ICCV 2021 (Team leader: Shen Chen)

  • Second Place, DeeperForensics Challenge, ECCV 2020 (Team leader: Shen Chen)

  • Gold Medal, Deepfake Detection Challenge (DFDC), Kaggle 2019 (Team leader: Shen Chen)


Professional Activities

  • Conference Reviewer: CVPR、ICCV、ECCV、AAAI、NIPS、IJCAI

  • Journal Reviewer: TPAMI、TIP、TIFS


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