Rundong Luo

I’m an first-year CS PhD student at Cornell University, working with Wei-Chiu Ma and Noah Snavely. My research interest lies in 3D computer vision, with a focus 3D scene generation and understanding.

I obtained my Bachelor’s degree in Computer Science (summa cum laude) from the Turing class, Peking University. I was a research intern at Microsoft Research Asia, working with Dr. Jianlong Fu. I spent a summer as an undergraduate visiting researcher (UGVR) at Stanford University, supervised by Prof. Jiajun Wu. Before that, I am honored to be advised by Prof. Jiaying Liu and Prof. Yisen Wang.

You may find my CV here: Rundong’s Curriculum Vitae.

Email / Google Scholar / Github


selected publications

2024

  1. Physpart.gif
    PhysPart: Physically Plausible Part Completion for Interactable Objects
    Rundong Luo*, Haoran Geng*, Congyue Deng, Puhao Li, and 4 more authors
    European Conference on Computer Vision Workshop (ECCVW) on 3D-in-the-Wild, 2024
  2. uOCF.gif
    Unsupervised Discovery of Object-Centric Neural Fields
    Rundong Luo*Hong-Xing Yu*, and Jiajun Wu
    arXiv, 2024
  3. SACCv2.png
    Unsupervised Illumination Adaptation for Low-Light Vision
    Wenjing Wang*Rundong Luo*Wenhan Yang, and Jiaying Liu
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024

2023

  1. SMMDA.png
    Similarity Min-Max: Zero-Shot Day-Night Domain Adaptation
    Rundong LuoWenjing WangWenhan Yang, and Jiaying Liu
    In International Conference on Computer Vision (ICCV), 2023
  2. DYNACL.png
    Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning
    Rundong Luo*, Yifei Wang*, and Yisen Wang
    In International Conference on Learning Representations (ICLR), 2023

Academic Services

  • Teaching Assistant: Practice of Programming in C&C++ (04831750 @ PKU, 2023 Spring)
  • Teaching Assistant: 3D Vision (CS6672 @ Cornell, 2024 Fall)
  • Conference Reviewer: CVPR 2024, NeurIPS 2024, WACV 2025, ICLR 2025
  • Journal Reviewer: TIP, TCSVT, TOMM

Selected Honors and Awards

  • 2024: Outstanding Undergraduate Thesis (Beijing Municipal), PDF
  • 2024: Excellent Graduate (Beijing Municipal)
  • 2023: Sensetime Scholarship (30 AI undergraduates per year Nationwide)
  • 2023: Chinese National Scholarship (Highest honor for undergraduates in China, top 0.2%)
  • 2020: Ranked 4th in National Examination for University Admission in Shanghai (aka Gaokao)