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职业迁徙
个人简介
My research lies at the intersection of deep learning and 3D computer vision. I build deep learning models for different 3D modalities. Some prior projects include monocular depth estimation, RGB-D semantic segmentation, and augmentation for point cloud recognition.
My recent projects focus on the fascinating field of neural implicit 3D representations, with the sense of continuity in the 3D Euclidean space that we live in. Some interesting highlights of my research in this direction are the observation of the emerging layer hierarchy and correspondence in the latent-coded implicit functions, as well as the improved generalization to unseen similarity transformations by leveraging the graph embedding and the inductive prior of equivariance.
研究兴趣
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CoRR (2024)
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CoRR (2023)
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