Leo / Zeqing Yuan
Leo / Zeqing Yuan
Incoming Grad Student @MIT

I am joining MIT to pursue my Ph.D. this fall. Prior to that, I am completing my M.S. in Robotics at Carnegie Mellon University, where I am fortunate to be advised by Prof. Srinivasa Narasimhan and Prof. Aswin Sankaranarayanan. I am broadly interested in computer vision, embodied agents and generative AI. My master's research focused on physics-based vision with light and heat, and my undergraduate work explored generative models and video understanding.

Previously, I received my bachelor's degree in Computer Science with the highest honor from Zhejiang University. During my undergraduate years, I had the privilege to work with Professors Yingcai Wu, Jake Zhao, Chunhua Shen and Jiajun Wu.

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Publications and Manuscripts

VT-Intrinsic: Physics-Based Decomposition of Reflectance and Shading using a Single Visible-Thermal Image Pair
TLDR Light absorbed rather than reflected leaves thermal traces that reveal lighting and material reflectance.
Revealing Subtle Heat Flows all around us using Microbolometric Videos
T-PAMI & ICCP 2026
TLDR Revealing subtle signals in thermal videos by modeling bolometric sensor physics.
SinLayout: Learning Generative 3D Scene Layouts from a Single Image
AI3DG @CVPR 2024
TLDR Learning spatial layout distribution from a single image using an adversarial generator.
FreeCompose: Generic Zero-Shot Image Composition with Diffusion Prior
TLDR Exploiting pretrained diffusion priors for training-free image composition.
ViSTec: Video Modeling for Sports Technique Recognition and Tactical Analysis
TLDR Parsing broadcast racket-sport videos into stroke-level technique sequences.
3D-PreMise: Can Large Language Models Generate 3D Shapes with Sharp Features and Parametric Control?
Tech Report 2023
TLDR A framework and dataset for LLMs to generate code for parametric 3D modeling.
TIVEE: Visual Exploration and Explanation of Badminton Tactics in Immersive Visualizations
TLDR Immersive VR visualization system for badminton tactical analysis.

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 Student 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 for AAAI, CVPR, ECCV, NeurIPS
Teaching Assistant for CS 21191070: Computer Vision, 2023
Mentor at CMU Paths to AI Research (PAIR) Program, 2025
Member of CMU School of Computer Science Dean's Advisory Committee, 2025
Conference Volunteer for AAAI, 2024

Miscellaneous

I love playing with cameras and enjoy a wide range of sports. I spent five lovely years in the a 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) 🥇
  • Chinese National First-Class Athlete
  • Chinese National 8th Place in Men's Singles
  • Zhejiang Provincial 🥇🥇🥈
  • Fujian Provincial 🥈🥈🥉🥉


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