• Advanced Institute of Engineering and Technology (AVITECH)

  • Seminars

    February 22, 2022: Dr. Nguyen Hoang Ha (Univ. Sci. Tech. Hanoi ), Automatic morphometric landmark detection on insect wing images

    The study of biological forms increasingly utilizes the geometric morphometrics approach as it allows quantitative evaluation of morphology. Shapes could be digitized as a set of landmarks from specimen images. The annotation of landmarks on insect wings is manually done by domain experts; however, it is time- consuming and error-prone. In this talk, I will present our work on automating this task by using both the traditional image processing method and the deep learning approach. On the one hand, our customized CNN network and some object detected deep learning models can give high accurate landmark recognition. On the other hand, we propose a key- point-matching-based process that is lightweight to run, requires small sample datasets and is realized into an open- source tool. Our hand-crafted feature framework is accurate with reference to human work.

    Speaker: Dr. Nguyen Hoang Ha, Univ. Sci. Tech. Hanoi

    Time: 15:30, Tuesday, February 22, 2022

    Venue: Webinar


    Dr. NGUYEN Hoang Ha is currently a lecturer and researcher at the Information and Communication Technology department, University of Science and Technology of Hanoi. He received his bachelor (honor program) and master’s degrees from the University of Engineering and Technology, VNU. His Ph.D. thesis on realistic road model reconstruction from GIS data was successfully defended at Aix-Marseille University, France in 2016. His research interests include Computer Graphics and Vision, Machine Learning, and AI. He has published some papers in 3D modeling and Video Processing fields. He has also collaborated with the industrial sector to carry out R&D projects on software engineering and camera surveillance. He has received prestigious awards such as Young Face of the Year of VNU, Microsoft Most Valuable Professional.


    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, […]