Multimedia Forensics and Security

Multimedia Forensics and Security (MFS) research group focuses on issues of multimedia security and forensics. The team aims to protect human from malicious media synthesized by artificial intelligence (AI). We also study good and useful applications of AI-based synthetic media.

Website

Research topics of interest

  • Multimedia forensics
  • Multimedia security
  • AI-generated media
  • Medical imaging
  • Applied deep learning and computer vision
  • Virtual/Mixed/Augmented Reality and Human-Computer Interaction

Human

Advisers
  • Prof. Isao Echizen, National Institute of Informatics, Japan
  • Prof. Akihiro Sugimoto, National Institute of Informatics, Japan
  • Assoc. Prof. Tam V. Nguyen, University of Dayton, U.S.A
  • Assoc. Prof. Tran Minh Triet, University of Science, VNU-HCMC, Vietnam
Members
  • Dr. Le Trung Nghia (Leader)
  • Hoang Trong Vu
  • Nguyen Quang Binh
Affiliate members
  • Dr. Nguyen Hong Huy, National Institute of Informatics, Japan

Typical research projects

  1. Developing a Natural Communication Solution with Deaf/Mute Individuals Using Natural and Visual Languages

    Project is supported by University of Science, VNU-HCMC (2022)

  2. Prevention from Automated Analysis Services with Object-Level Adversarial Examples

    Project is supported by Japan Society for the Promotion of Science (JSPS), KAKENHI Grant (JP21K18023), Japan (2021-2022)

  3. Facial Privacy and Forensic in The Wild: Explainable End-to-End Networks for Multi-Face Anonymization and Multi-Face Forgery Detection

    Project is supported by Japan Society for the Promotion of Science (JSPS), KAKENHI Grant (JP20K23355), Japan (2020-2021-2022)

Awarded

  • Telecommunications Advancement Foundation Award

    Telecom Interdisciplinary Research Award), 2023 (第38回電気通信普及財団賞（テレコム学際研究賞）特例表)

  • Video Instance Segmentation

    • Rank 3rd in DAVIS 2017 (DAVIS: Densely Annotated VIdeo Segmentation), CVPR 2017 (2017 Conference on Computer Vision and Pattern Recognition), 21-26/07/2017, Hawaii, U.S.A.
    • Rank 6th in DAVIS 2018 (DAVIS: Densely Annotated VIdeo Segmentation), CVPR 2018 (2018 Conference on Computer Vision and Pattern Recognition), 18-22/06/2018, Salt Lake City, Utah, U.S.A.
    • Rank 3rd in DAVIS 2019 (DAVIS: Densely Annotated VIdeo Segmentation), CVPR 2019 (2019 Conference on Computer Vision and Pattern Recognition), 16-20/06/2019, Long Beach, California, U.S.A.
    • Rank 4th in DAVIS 2020 (DAVIS: Densely Annotated VIdeo Segmentation), CVPR 2020 (2020 Conference on Computer Vision and Pattern Recognition), 14-19/06/2020, Virtual Conference.

  • Traffic Analysis

    • 5th place in AI City Challenge (Track 4), CVPR 2020 (2020 Conference on Computer Vision and Pattern Recognition), 14-19/06/2020, Virtual Conference.
    • 10th place in AI City Challenge (Track 1), CVPR 2020 (2020 Conference on Computer Vision and Pattern Recognition), 14-19/06/2020, Virtual Conference.
    • 8th place in AI City Challenge (Track 3), CVPR 2019 (2019 Conference on Computer Vision and Pattern Recognition), 16-20/06/2019, Long Beach, California, U.S.A.

Publications