The group focuses on the intersection of artificial intelligence, software engineering, and human-machine interaction to develop safe and intelligent interactive environments to better assist people in their daily activities.

Study topic

  • Cryptography, Information Security, and Privacy: secure authentication protocols, privacy-preserving solutions, novel methods for data protection.
  • Multimedia, Machine Learning and Computer Vision: visual instance segmentation, content-based multimedia retrieval, 3D object retrieval and recognition, intelligent traffic system analysis, medical image analysis, etc
  • Software Engineering, Virtual/Mixed/Augmented Reality and Human-Computer Interaction.

Human

Adviser
  • Assoc.Prof. Dr. Duong Anh Duc, Ho Chi Minh City People's Committee
  • Prof. Isao Echizen, National Institute of Informatics, Japan
  • Prof. Akihiro Sugimoto, National Institute of Informatics, Japan
  • Prof. Minh N. Do, University of Illinois at Urbana-Champaign, U.S.A
  • Prof. Morten Fjeld, University of Bergen, Norway
  • Prof. Shengdong Zhao, National University of Singapore, Singapore
  • Assoc.Prof. Tam V. Nguyen, University of Dayton, U.S.A
Member
  • Assoc.Prof. Dr. Tran Minh Triet (team leader)
  • Dr. Le Khanh Duy
  • Dr. Le Trung Nghia
  • Dr. Truong Toan Thinh
  • Dr. Nguyen Vinh Tiep (UIT)
  • Dr. Tran Quang Tanh
  • PhD student. Van Chi Nam
  • MSc. Luong Vi Minh
  • MSc. Tran Ngoc Dat Thanh
  • MSc. Do Trong Le
Affiliate member
  • Ninh Van Tu, Dublic City University, Ireland
  • Le Tu Khiem, Dublic City University, Ireland

Typical research topics

  • HybridMingling: Designing and developing a virtual-augmented reality solution to support mingling at hybrid conferences and events

    The project is supported by the University of Science, Viet Nam National University, Ho Chi Minh City (2022)

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

    The project is supported by the University of Science, Viet Nam National University, Ho Chi Minh City (2022)

  • Data Leakage Prevention for Personal Computers

    The project is supported by the Department of Science and Technology of Ho Chi Minh City (2015-2018).

  • Gait-based Authentication for Mobile and Wearable Devices

    The project is supported by Vietnam National University, Ho Chi Minh City (2015-2018)

  • Applying Augmented Reality to Develop Smart Digital Newspapers

    The project is supported by Vietnam National University, Ho Chi Minh City (2012)

  • Research and Develop the Identity Metasystem for Digital Identity Management

    The project is supported by Vietnam National University, Ho Chi Minh City (2011)

  • Research to Develop the Designer and the Environment to Execute Robots to Collect Information from the Web and Applications

    The project is supported by the Department of Science and Technology of Ho Chi Minh City (2009, Incubation Program)

  • Research to Develop the Certificate Authority for Management in University of Science

    The project is supported by the University of Science, Viet Nam National University Ho Chi Minh City (2004)

Awarded

  • 3D Shape Retrieval:
    • Rank 1st in “Sketch-Based 3D Scene Retrieval”, SHREC2018 - 3D Shape Retrieval Contest 2018, Eurographics 2018, 16/04/2018, Delft, Netherland
    • Rank 1st in “Image-Based 3D Scene Retrieval”, SHREC2018 - 3D Shape Retrieval Contest 2018, Eurographics 2018, 16/04/2018, Delft, Netherland
    • Rank 1st in “RGB-D Object-to-CAD Retrieval”, SHREC2018 - 3D Shape Retrieval Contest 2018, Eurographics 2018, 16/04/2018, Delft, Netherland
    • Rank 1st in Point-Cloud Shape Retrieval of Non-Rigid Toys, SHREC2017- 3D Shape Retrieval Contest 2017, Eurographics 2017, 23-24/04/2017, Lyon, France.
    • Rank 2nd in Deformable Shape Retrieval with Missing Parts , SHREC2017- 3D Shape Retrieval Contest 2017, Eurographics 2017, 23-24/04/2017, Lyon, France.
    • Rank 1st in Partial Shape Queries for 3D Object Retrieval, SHREC2016- 3D Shape Retrieval Contest 2016, Eurographics 2016, 07-08/05/2016, Lisbon, Portugal.
  • 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.