Shanlin Sun (孙 山林)

Into everything vision-related.

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I am a final-year Ph.D. student in the Department of Computer Science at University of California, Irvine (UCI), advised by Prof. Xiaohui Xie.

Earlier, I obtained my Master’s degree from University of Southern California (USC) and my Bachelor’s degree from Beihang University (BUAA).

My primary research interests are at the intersection of computer vision, computer graphics and generative AI. Also, I have been actively engaged in medical image analysis.

Currently, I am working on:

  • Text-Driven Human Motion Generation with multi-modal agents,
  • Image Decomposition and Composition by repurposing generative model.

I am looking for research scientist / engineer positions: part-time internships or full-time positions starting from summer 2025.

Happy to be connected at shanlins[at]uci[dot]edu.

news

Jul 19, 2024 Our paper Hybrid-CSR was accepted as oral presentation at BMVC 2024.
Jun 24, 2024 After two-year revisions, our paper “Medical Image Registration via Neural Fields” is finally published in Medical Image Analysis!
Jun 23, 2024 Join NEC Labs America as Research Intern in Media Analytics team, mentored by Bingbing Zhuang.
Apr 23, 2024 Our paper “LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes” was selected as highlights of CVPR 2024 and will be oral presented at CVPR 2024 Workshop DDADS.
Mar 05, 2024 I passed my advancement exam. Committee members: Prof. Xiaohui Xie (Chair), Prof. Alexander C. Berg, Prof. Alexander Ihler and Prof. Yanning Shen.
Feb 26, 2024 Our paper “LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes” and “Integrating efficient optimal transport and functional maps for unsupervised shape correspondence learning” were accepted at CVPR 2024.
Jan 16, 2024 Our paper “Diffeomorphic Mesh Deformation via Efficient Optimal Transport for Cortical Surface Reconstruction” was accepted at ICLR 2024.

selected publications

  1. arXiv
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    CoMA: Compositional Human Motion Generation with Multi-modal Agents
    Shanlin Sun*, Gabriel Araujo*, Jiaqi Xu*, and 5 more authors
    arXiv preprint, Dec 2024

    How MLLM reasoning faciliates human motion generation, editing and self-correction?

  2. CVPR
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    LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes
    Shanlin Sun, Bingbing Zhuang, Ziyu Jiang, and 3 more authors
    In Computer Vision and Pattern Recognition , Jun 2024

    How to encode Lidar geometry guidance into NeRF training? How to deal with noisy/sparse Lidar supervision? How to augment data from Lidar data?

  3. MedIA
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    Medical Image Registration via Neural Fields
    Shanlin Sun, Kun Han, Chenyu You, and 8 more authors
    Medical Image Analysis, Jul 2024

    Introducing neural fields into 3D medical image registration. It is lightweight and fast, can be displacement-based or velocity-based.

  4. BMVC
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    Hybrid-CSR: Coupling Explicit and Implicit Shape Representation for Cortical Surface Reconstruction
    Shanlin Sun, Thanh-Tung Le, Chenyu You, and 6 more authors
    In British Machine Vision Conference , Nov 2024

    Bridging mesh-based (explicit) and occupancy (implicit) shape representation with oriented point clouds (followed by differentiable poisson surface reconstruction) to model complex shapes with fewer local distortions.

  5. CVPR
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    Topology-preserving shape reconstruction and registration via neural diffeomorphic flow
    Shanlin Sun, Kun Han, Deying Kong, and 3 more authors
    In Computer Vision and Patern Recognition , Jun 2022

    Introcuding topology preserving to template-based deep implicit shape representation via Neural ODE.