Research Interest
Deep Geometry Learning, Generative modeling, 3D Vision, and Computer graphics, particularly interested for 3D reconstruction and generation with high controllability.
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Deep Geometry Learning, Generative modeling, 3D Vision, and Computer graphics, particularly interested for 3D reconstruction and generation with high controllability.
I am looking for self-motivated Ph.D./MPhil. students, RAs, PostDocs, and Visiting scholars to join my group.
Please drop me an email with your CV if you are interested.
[02/2024] One paper (Camera-based 3D Semantic Scene Completion) was accepted by CVPR 2024.
[01/2024] One paper (Neural wavelet-domain diffusion for 3d shape generation, inversion, and manipulation) was accepted by TOG 2024.
[07/2023] One paper (SD-Net point cloud completion) was accepted by ACM MM 2023.
[10/2022] One paper (neural template) was accepted by CVPR2022.
[10/2022] One paper (point cloud self-embedding) was accepted by TVCG.
[10/2022] One paper (Neural Wavelet-domain Diffusion) was accepted by SIGA 2023.
[07/2022] One paper (pair-patch-wise point cloud upsampling) was accepted by ACM MM 2022 .
[03/2022] One paper (topology-aware mesh reconstruction and generation) was accepted by CVPR2022 .
[02/2022] One paper (invertible downsampling for point set) was accepted by TVCG .
[02/2022] One paper (domain adaptation for RNA-binding protein analysis) was accepted by PLOS CB .
[06/2021] One paper (rotation invariant framework for point cloud analysis) was accepted by TVCG.
[06/2021] Passed the oral defense and became a Dr.
[03/2021] SP-GAN was accepted to SIGGRAPH 2021. (A Real Milestone :))
[02/2021] Dis-PU was accepted to CVPR 2021.
[02/2020] PointAugment was accepted by CVPR 2020 (Oral).
[07/2019] PU-GAN was accepted by ICCV 2019.
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Neural Wavelet-domain Diffusion for 3D Shape Generation
SIGGRAPH Asia 2022
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PC^2-PU: Patch Correlation and Point Correlation for Effective Point Cloud Upsampling
ACM MM 2022
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Neural Template: Topology-aware Reconstruction and Disentangled Generation of 3D Meshes
IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2022
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Point Set Self-Embedding
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2022.
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Inferring RNA-binding protein target preferences using adversarial domain adaptation
PLOS Computational Biology
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SP-GAN: Sphere-Guided 3D Shape Generation and Manipulation
ACM SIGGRAPH 2021
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Point Cloud Upsampling via Disentangled Refinement
IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2021
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A Rotation-invariant Framework for Deep Point Cloud Analysis
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2021.
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PointAugment: an Auto-Augmentation Framework for Point Cloud Classification
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020). (Oral)
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DNF-Net: a Deep Normal Filtering Network for Mesh Denoising
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2020.
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PU-GAN: a Point Cloud Upsampling Adversarial Network
IEEE International Conference on Computer Vision (ICCV), pp. 7203-7212, 2019.
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Reading List on 3D/2D topics
[Link]
