Leo / Zeqing Yuan
Leo / Zeqing Yuan
Graduate student @CMU

About

Hi, I am a graduate student in robotics at Carnegie Mellon University, where I am fortunate to be advised by Professors Srinivasa Narasimhan and Aswin Sankaranarayanan. Previously, I obtained my bachelor's degree in computer science with the highest honor from Zhejiang University, where I am grateful to be advised by Professors Yingcai Wu, Jake Zhao, and Chunhua Shen.

My research interest spans computer vision, imaging and robotics. My recent work studies the physical interplay of light and heat, and explores how thermal cameras can enable novel vision, graphics, and imaging capabilities. Previously, my undergraduate work focused on visual generative models and AI/VR for sports.

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Selected Publications

Physics-Based Vision
VT-Intrinsic: Physics-Based Decomposition of Reflectance and Shading using a Single Visible-Thermal Image Pair

CVPR 2026
Visual Generative Models
SinLayout: Learning Generative 3D Scene Layouts from a Single Image
Linan Zhao*, Zeqing Yuan*, Yunzhi Zhang, Shangzhe Wu, Jiajun Wu
(*: equal contribution, each may be listed first)

CVPR-W 2024
FreeCompose: Generic Zero-Shot Image Composition with Diffusion Prior

ECCV 2024
AI / VR for Sports
ViSTec: Video Modeling for Sports Technique Recognition and Tactical Analysis
Yuchen He*, Zeqing Yuan*, Yihong Wu, Liqi Cheng, Dazhen Deng, Yingcai Wu
(*: equal contribution, each may be listed first)

AAAI 2024
TIVEE: Visual Exploration and Explanation of Badminton Tactics in Immersive Visualizations
IEEE TVCG (VIS 2021)

Talks

[2026/01] Invited talk @ Columbia University: Physics-based Vision with Heat and Light

Selected Honors

Best Poster Award, CVPR Workshop on Computational Cameras and Displays, 2025  
AAAI Scholarship, 2024
Chinese National Scholarship, Ministry of Education, 2021, 2022, 2023
Chu Kochen Presidential Scholarship, Zhejiang University, 2023
Top 10 Outstanding Students Award at Zhejiang University, 2023
SenseTime Scholarship, 2022

Academic Services

Program Committee / Reviewer @ AAAI, CVPR, ECCV
Teaching Assistant for CS 21191070: Computer Vision, 2023
Mentor at CMU Paths to AI Research (PAIR) Program
Member of CMU School of Computer Science Dean's Advisory Committee
Conference Volunteer for AAAI

Miscellaneous

I love playing with cameras and enjoy a wide range of sports. I spent five lovely years in the Xiamen professional badminton team, and during undergrad I worked on AI for racket sports used by the national team. Here's a snapshot of my badminton journey:
Badminton achievements
  • U.S. National Collegiate Team Championships (D1-B) 🥇, 2025
  • Chinese National First-Class Athlete
  • Zhejiang Provincial 🥇🥇🥈, 2021-2024
  • Fujian Provincial 🥈🥈🥉🥉, 2016-2019
  • Chinese National 8th Place in Men's Singles, 2013


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