About me

Welcome to my homepage! I am a Ph.D. candidate at Department of Computer Science, University of Houston, Texas. I earned my Bachelor of Science in Applied Mathematics from Hanoi University of Science and Technology.

Working at Quantitative Imaging Lab (QIL) under the supervision of Professor Shishir Shah, my research focuses on Computer Vision and Deep Learning. I am working actively on Person Re-Identification, where I develop feature extraction models to re-identify persons of interest, serving surveillance and public safety purposes. Besides, I am interested in working on 3D Generation and Reconstruction, where I explore the application of Generative AI models (GANs, NeRF, Diffusion) and Vision-Language models (CLIP, Florence 2) in this 3D Vision task.

May you have any question, feel free to reach out to me at:

• Email: dnguy222 AT cougarnet DOT uh DOT edu
• Phone: (346) 270-8403
• Office: PGH 203

News

• Mar, 2024: I am honored to be the Winner of the Audience’s Choice Prize and 1st-Runner-up of the Committee’s Choice Prize at the 2024 PhD Research Showcase Competition.

• Mar, 2024: I am serving as a reviewer at multiple CVPR Workshops this year:
  • 5th Workshop on Continual Learning in Computer Vision (CLVision)
  • 6th Workshop on Image Matching: Local Features & Beyond
  • CV4Animals: Computer Vision for Animal Behavior Workshop

• Jan, 2024: I am serving as a reviewer at IEEE International Conference on Multimedia Expo (ICME) 2024, to be held at Niagara Falls, Canada.

• Dec, 2023: Our QIL team has got two papers accepted at the 19th International Conference on Computer Vision Theory and Applications.
  • Attention-based Shape and Gait Representations Learning for Video-based Cloth-Changing Person Re-Identification [paper]
  • Data Quality Aware Approaches for Addressing Model Drift of Semantic Segmentation Models [paper]
• Nov, 2023: Triple BAM!!! My paper entitled Temporal 3D Shape Modeling for Video-based Cloth-Changing Person Re-Identification has been accepted at WACV’24 - 4th Real-world Surveillance Workshop.
• Nov, 2023: Double BAM!!! Our paper entitled Unsupervised Person Re-Identification in Aerial Imagery has been accepted at WACV’24 - 4th Real-world Surveillance Workshop.

• Oct, 2023: BAM!!! My paper Contrastive Viewpoint-aware Shape Learning for Long-term Person Re-Identification has been accepted at WACV’24.

• Sep, 2023: My paper Building Footprint Extraction in Dense Areas using Super Resolution and Frame Field Learning gets the Best Paper Award at iCAST2023.

• Nov, 2022: I am honored to receive Cullen Graduate Student Success Fellowship (CGSSF) from UH Graduate School, UH. Keep it up, Dustin!
• Aug, 2022: I started my Ph.D. journey at University of Houston. Go for it, Dustin!
• Feb 2021: I started working as an ML Engineer at Grooo International.
• Jul, 2021: I graduated from HUST, majoring in Applied Mathematics.