Phat Truong
Phat Truong

PhD Candidate

Welcome to my personal page

I am a PhD candidate at HuPBA, University of Barcelona, Computer Vision Center, co-supervised by Sergio Escalera and Meysam Madadi. As part of my PhD research, I am developing commercial Virtual Try-On solutions at Vitonify, and collaborating with Google on clothed human dynamics modeling.

I hold an MSc in Computer Vision from the Barcelona joint program (UAB, UOC, UPC, UPF, and UB) and a BE in Mechatronics Engineering from HCMUTE, Vietnam. During my master’s studies, I secured a research fellowship at the Computer Vision Center. Before returning to study MSc, I was a Data Scientist working on programmatic advertising and a founding AI Engineer at a US startup on computer vision.

📚 My Research

My research interests include conditional generative models in vision (image, video, 3D, etc.), representation learning, human understanding, and their application in fashion technology (e.g., sizing, virtual try-on, recommendation). I am also interested in techniques for making large models more efficient.

Please reach out for discussion or collaboration 😃

News

🇪🇸 I have started my PhD in Computer Vision at HuPBA group, Universitat de Barcelona 🤸🏻🤸🏻 🚀

🎓 I successfully defended my MSc thesis at The Annual Catalan Meeting on Computer Vision (ACMCV) 2025 🎉

I started my Barcelona inter-uni Msc program organized by CVC, UAB, UB, UPF, UPC and UOC. I also received a graduate fellowship to conduct internship with Prof. Daniel Ponsa at CVC 🎉

Publications
CVPR (Highlight)
(2025). MV-Fashion: Towards Enabling Virtual Try-On and Size Estimation with Multi-View Paired Data. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026 (Highlight).
ICPR
(2025). What Matters in Virtual Try-Off? Dual-UNet Diffusion Model For Garment Reconstruction. In The International Conference on Pattern Recognition (ICPR) 2026.
IEEE
(2020). A Mobile Deep Convolutional Neural Network Combined with Grad-CAM Visual Explanations for Real Time Tomato Quality Classification System. In 2020 5th International Conference on Green Technology and Sustainable Development (GTSD), pp. 321–325.