I am a Computer Vision Engineer with over nine years of experience in deep learning and video/image processing, currently working at the Institute of Information Science, Academia Sinica (Taiwan). My research focuses on visual modeling, temporal modeling, and generative vision, with applications in object detection and tracking, behavior recognition, and robust visual understanding under adverse conditions.

I have developed multiple state-of-the-art systems, including NeighborTrack, a lightweight single-object tracking method that achieved top performance on LaSOT and ranked #1 on UAV123, and LD-YOLOv7, a latent-diffusion-augmented license plate recognition framework that achieves strong synthetic-to-real generalization under rain and fog. Recently, I have been integrating Vision-Language Models and structured temporal models (S4/ViS4mer) to construct a Universal Action Space for long-term behavior analysis, and exploring SAM2 and GroundingDINO for unsupervised video object segmentation.

I received my M.S. degree in Electrical Engineering and a B.S. degree in Computer Information and Network Engineering from Lunghwa University of Science and Technology, graduating first in my department. My work bridges academic research and practical applications, with publications in CVPR Workshops and IEEE CAI.

For more detailed information about my professional and academic background, please see my CV. I am open to research discussions or collaboration opportunities; feel free to contact me at franktpmvu@gmail.com.