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