Yiqing Liang

I am a 4-th year PhD candidate in Computer Science at Brown University and a member of Brown Visual Computing Group. I am very fortunate to have Professor James Tompkin as my advisor.

I received my Master in Computer Science from Columbia University, advised by Professor Shuran Song and Professor Shih-Fu Chang. I completed my Bachelor in Computer Science at Fudan University. I was a visiting student at MIT EECS (CSAIL).

I was a research intern at NVIDIA Research with Abhishek Badki, Hang Su, Orazio Gallo, at Meta Reality Labs with Numair Khan, Lei Xiao, Douglas Lanman.

Email / CV / Google Scholar / Twitter

News

[ Feb-2025 ]: I am giving a lightning talk at NYC Computer Vision Day 2025!
[ Nov-2024 ]: I am presenting my internship work with Nvidia Research at NECV 2024!
[ Jun-2024 ]: I started the summer internship at LPR Team @ NVIDIA Research.
[ Dec-2023 ]: My research is recognized in Hugging Face Daily Papers by AK!
[ Dec-2023 ]: I am presenting my internship work with Meta Reality Labs at NECV 2023!
[ Jul-2023 ]: SAFF got accepted to ICCV 2023!
[ Jun-2023 ]: I started the summer internship at DSR team of Meta Reality Labs.
...

Selected Research

	Zero-Shot Monocular Scene Flow Estimation in the Wild Yiqing Liang, Abhishek Badki^, Hang Su^, James Tompkin, Orazio Gallo CVPR, 2025 paper / video / code / bibtex We present ZeroMSF, the first generalizable 3D foundation model that understands monocular scene flow for diverse real-world scenarios, utilizing our curated data receipe of 1M synthetic training samples.
	Monocular Dynamic Gaussian Splatting is Fast and Brittle but Smooth Motion Helps Yiqing Liang, Mikhail Okunev, Mikaela Angelina Uy, Runfeng Li, Leonidas J. Guibas, James Tompkin, Adam Harley Under Review, 2024 paper / data / code / bibtex We present a benchmark of dynamic Gaussian Splatting methods for monocular view synthesis, combining existing datasets and a new synthetic dataset to provide standardized comparisons and identify key factors affecting efficiency and quality.
	GauFRe: Gaussian Deformation Fields for Real-time Dynamic Novel View Synthesis Yiqing Liang, Numair Khan, Zhengqin Li, Thu Nguyen-Phuoc, Douglas Lanman, James Tompkin, Lei Xiao CVPR, 2024, CV4MR WACV, 2025 paper / code / bibtex We propose GauFRe: a dynamic scene reconstruction method using deformable 3D Gaussians for monocular video that is efficient to train, renders in real-time and separates static and dynamic regions.
	Semantic Attention Flow Fields for Monocular Dynamic Scene Decomposition Yiqing Liang, Eliot Laidlaw, Alexander Meyerowitz, Srinath Sridhar, James Tompkin ICCV, 2023 paper / code / bibtex We present SAFF: a dynamic neural volume reconstruction of a casual monocular video that consists of time-varying color, density, scene flow, semantics, and attention information.
	SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning Zhecan Wang, Haoxuan You , Liunian Harold Li, Alireza Zareian, Suji Park, Yiqing Liang, Kai-Wei Chang, Shih-Fu Chang AAAI, 2022 paper / bibtex We propose a Scene Graph Enhanced Image-Text Learning (SGEITL) framework to incorporate visual scene graph in commonsense reasoning
	SSCNav: Confidence-Aware Semantic Scene Completion for Visual Semantic Navigation Yiqing Liang, Boyuan Chen, Shuran Song ICRA, 2021 paper / video / code / bibtex We explicitly model scene priors using a confidence-aware semantic scene completion module to complete the scene and guide the agent's navigation planning.

Service

Reviewer for ICCV, CVPR, ICRA, Eurographics, WACV.

[ Jan-2023 ~ ]: Brown Visual Computing Seminar organizer.
[ Sep-2022 ~ ]: Brown WiCS mentor.
[ Sep-2021 ~ Jun 2022 ]: Brown Visual Computing Reading Group organizer.

Based on Jon Barron's template.