• Advanced Institute of Engineering and Technology (AVITECH)

  • Seminars

    May 04, 2021: Dr. Nguyen Tan Nhu (Univ. Caen Normandy, France), Real-time Computer Vision System for Tracking Simultaneously Subject-specific Rigid Head and Non-rigid Facial Mimic Movements using a Contactless Sensor and System of System approach

    Head and facial mimic animations play important roles in various fields such as human-machine interactions, internet communications, multimedia applications, and facial mimic analysis. Numerous studies have been trying to simulate these animations. However, they hardly achieved all requirements of full rigid head and non-rigid facial mimic animations in a subject- specific manner with real-time framerates. This talk presents a study aimed to develop a real-time computer vision system for tracking simultaneously rigid head and non-rigid facial mimic movements.

    Speaker: Dr. Nguyen Tan Nhu, Univ. Caen Normandy

    Time: 15:30, Tuesday, May 04, 2021

    Venue: Webinar; Access code: https://bit.ly/2FkRlae


    Nguyen Tan Nhu completed his Bachelor of Engineering at Ho Chi Minh City University of Technology and Education, Vietnam in 2012. Subsequently, he achieved his Master of Engineering at the same university in 2014. He was granted a Ph.D. degree at University of Technology of Compiegne, France in 2020, where he worked on a clinical decision support system for facial mimic rehabilitation in the Bio-Mechanics and Bio-Engineering Laboratory. He is currently a postdoctoral researcher in The GREYC Laboratory, National Graduate School of Engineering and Research Center, University of Caen Normandy, France. His research interests are Biomechanics and Bioengineering, 3D Geometrical Processing, Serious Games for Rehabilitation, and Facial Mimic Rehabilitation.


    February 2, 2024: Dr. Khoa D. Doan (Vin Univeristy) Toward Reliable and Practical Machine Learning Applications

    While Machine Learning (ML) has rapidly transformed several domains and applications with incredible successes, there are also important areas where the progress is significantly slower. Specifically, there exists a widened complexity gap between the methods currently investigated in research and those used in practice in these areas. One reason is that many algorithms, despite achieving […]

    February 2, 2024: Prof. Heng Ji (University of Illinois at Urbana-Champaign), Combating with Misinformation and Cancer: A Unified Multimodal AI Approach to Healthy and Happy Life

    A research overview of ongoing research projects, especially focusing on two that are most related to the VinUni-UIUC Smart Health Center: (1) Misinformation Detection and Trustworthy Large Language Models; (2) Joint Natural Language and Molecule Learning for Drug Discovery. Unsurprisingly these two seemingly different research problems can be tackled with a unified approach based on […]

    January 11, 2024: Dr. Le Duc Trong (FIT-UET) Resilient Multimodal Learning for Multimodal Emotion Recognition in the Presence of Incomplete Modalities

    Multimodal Emotion Recognition in Conversation (Multimodal ERC) is a critical area of research for interpreting human communication in diverse applications. Nevertheless, the persistent issue of uncertain missing modalities poses a major hurdle, hampering the development of robust Multimodal ERC models. Existing approaches face limitations in effectively leveraging a fusion of diverse data modalities encompassing audio, […]