I am a Ph.D. student working with Prof. Alexander Schwing at Department of Computer Science, University of Illinois Urbana–Champaign (UIUC).
Earlier, I received B.S. degree in Statistics from University of Science and Technology of China (USTC).
My research is focused on developing methodologies capable of effectively harnessing various sources of data with applications in 2D/3D/4D computer vision, generative models, and neural rendering.
My recent works aim for scalable 3D representation learning and 3D/4D view synthesis without requiring large-scale real-world multi-view datasets, utilizing
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IllumiNeRF: 3D Relighting without Inverse Rendering.
ArXiv, 2024 |
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GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 |
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NeRFDeformer: NeRF Transformation from a Single View via 3D Scene Flows.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 |
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Pseudo-Generalized Dynamic View Synthesis from a Video.
International Conference on Learning Representations (ICLR), 2024 |
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Occupancy Planes for Single-view RGB-D Human Reconstruction.
AAAI Conference on Artificial Intelligence (AAAI), 2023 |
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Generative Multiplane Images: Making a 2D GAN 3D-Aware.
European Conference on Computer Vision (ECCV), 2022 (Oral Presentation)
Media:
机器之心 (Chinese) /
MarkTechPost
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Initialization and Alignment for Adversarial Texture Optimization.
European Conference on Computer Vision (ECCV), 2022 |
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Class-agnostic Reconstruction of Dynamic Objects from Videos.
(* denotes equal contribution) Neural Information Processing Systems (NeurIPS), 2021 |
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The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation.
International Conference on Computer Vision (ICCV), 2021 |
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Mitigating Data Scarcity in Protein Binding Prediction Using Meta-Learning.
(* denotes equal contribution) Research in Computational Molecular Biology (RECOMB), 2019 |
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Integrating Thermodynamic and Sequence Contexts Improves Protein-RNA Binding Prediction.
PLOS Computational Biology, 2019 |
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Learning from Synthesized Demonstrations.
International Conference on Machine Learning (ICML) Workshop on Learning in Artificial Open Worlds, 2020 |
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Approximation Gradient Error Variance Reduced Optimization.
AAAI Conference on Artificial Intelligence (AAAI) Workshop on Reinforcement Learning in Games, 2019 |