Research
I'm interested in 3D Computer Vision, Foundation Models and Generative Modeling.
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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
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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.
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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.
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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
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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.
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Service
Reviewer for ICCV 2023, CVPR 2024.
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