I have worked on research problems as follows:
Computer Vision, Generative AI, Extended Reality, Human-Computer Interaction
Applied Deep Learning to Computer Vision and Computer Graphics
Applied Computer Vision to Intelligent Transportation Systems, Multimedia Security, and Medical Imaging
I currently lead the Multimedia Forensics and Security (MFS) research group, focusing 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.
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CAMO++ Dataset (TIP 2022)
Live Demo (AAAI 2021)
CAMO Dataset (CVIU 2019)
MirrorNet (IEEE Access 2021)
ANet (CVIU 2019)
4th place, CVPR DAVIS Challenges 2020
3rd place, CVPR DAVIS Challenges 2019
6th place, CVPR DAVIS Challenges 2018
3rd place, CVPR DAVIS Challenges 2017
Wonderland Augmented Dataset (CVPRW 2018)
ADV Dataset (IV 2020)
Attention R-CNN (IV 2020)
5th place, CVPR AI City Challenge 2020
8th place, CVPR AI City Challenge 2019
Rank 26/59, CVPR AI City Challenge 2020
Rank 25/84, CVPR AI City Challenge 2019
SESIV Dataset (WACV 2019)
[3D Saliency] (BMVC 2017)
My first research paper. I jointly worked with Quoc-Minh Bui. We propose a method to analyse differences in motion from consecutive frames to estimate person’s intensity level of activities when jogging, and then renders virtual scene with appropriate speed. Our proposed method can also be applied to develop various exciting interactive games to stimulate excitement for users when doing in-door fitness exercises or to create virtual environment for museums where visitors just stay in place to explore scenes in museums.
My very first research project. I jointly worked with Nam Le, under supervision of Prof. Minh-Triet Tran. We studied two symmetric and asymmetric encryption methods, including Rijndael and Elliptic Curve Cryptography (ECC), to develop an application for encrypting emails in PocketPC.