- ARSS: Taming Decoder-only Autoregressive Visual Generation for View Synthesis From Single View (Arxiv 2025)
- FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation (ICCV 2025)
- RDD: Robust Feature Detector and Descriptor using Deformable Transformer (CVPR 2025)
- Geometry-aware Feature Matching for Large-Scale Structure from Motion (3DV 2025)
- Skyeyes: Ground Roaming using Aerial View Images (WACV 2025)
- Light Sampling Field and BRDF Representation for Physically-based Neural Rendering (ICLR 2023)
- Unimodal face classification with multimodal training (FG2021)
Academic Services:
- Reviewer for WACV 2025, CVPR 2025
Awards:
- 4th place in Image Matching Challenge at CVPR 2025 for RDD
Research Experience
Was a Research Intern at SRI International Center for Vision Technologies (CVT) during summer 2024, working with Dr. Supun Samarasekra and Dr. Rakesh Kummar.
Education
Before joining VGL, received a Bachelor's degree with double majors in Mathematics and Economics from Boston University, where he conducted research in statistics and machine learning under the direction of Prof. Allen G. Harbaugh. Now pursuing a Ph.D. under the supervision of Prof. Yajie Zhao.
Background
Currently a third-year PhD student in the Vision & Graphics Lab (VGL) at the Institute for Creative Technologies (ICT), an affiliated institution of the University of Southern California (USC). Research interests lie in the intersection of computer vision and graphics, with a focus on neural rendering and image and video generation with diffusion models.