Yiqing Liang

I am a PhD student in CS at Brown University and a member of Brown Visual Computing Group. I am very fortunate to have Professor James Tompkin as my advisor.

Prior to that, 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.

Email / CV / Google Scholar / Twitter

News

[ Jun-2024 ]: I started the summer internship at LPR Team @ NVIDIA Research .
[ Dec-2023 ]: Oral presentation 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.
[ Feb-2023 ]: Invited Speaker at Khoury College of Computer Sciences, Northeastern University.
[ Dec-2022 ]: Oral presentation at NECV 2022.

Research

I'm interested in 3D Computer Vision, Foundation Models and Generative Modeling.

	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 preprint
	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 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 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 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 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 2023, CVPR 2024.

[ 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.