publications

2024

1. arXiv

   

   CoMA: Compositional Human Motion Generation with Multi-modal Agents

   Shanlin Sun*, Gabriel Araujo*, Jiaqi Xu*, and 5 more authors

   arXiv preprint, Dec 2024

   Bib PDF Code Website

   @article{sun2024coma,
     title = {CoMA: Compositional Human Motion Generation with Multi-modal Agents},
     author = {Sun*, Shanlin and Araujo*, Gabriel and Xu*, Jiaqi and Zhou*, Shenghan and Zhang, Hanwen and Huang, Ziheng and You, Chenyu and Xie, Xiaohui},
     journal = {arXiv preprint},
     month = dec,
     year = {2024},
     note = {How MLLM reasoning faciliates human motion generation, editing and self-correction?},
   }

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

2. CVPR

   

   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

   Bib PDF Website

   @inproceedings{sun2024lidarf,
     title = {LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes},
     author = {Sun, Shanlin and Zhuang, Bingbing and Jiang, Ziyu and Liu, Buyu and Xie, Xiaohui and Chandraker, Manmohan},
     booktitle = {Computer Vision and Pattern Recognition},
     month = jun,
     year = {2024},
     note = {How to encode Lidar geometry guidance into NeRF training? How to deal with noisy/sparse Lidar supervision? How to augment data from Lidar data?},
   }

   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

   

   Medical Image Registration via Neural Fields

   Shanlin Sun, Kun Han, Chenyu You, and 8 more authors

   Medical Image Analysis, Jul 2024

   Bib PDF

   @article{sun2022medical,
     title = {Medical Image Registration via Neural Fields},
     author = {Sun, Shanlin and Han, Kun and You, Chenyu and Tang, Hao and Kong, Deying and Naushad, Junayed and Yan, Xiangyi and Ma, Haoyu and Khosravi, Pooya and Duncan, James S and Xie, Xiaohui},
     journal = {Medical Image Analysis},
     month = jul,
     year = {2024},
     note = {Introducing neural fields into 3D medical image registration. It is lightweight and fast, can be displacement-based or velocity-based.},
   }

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

4. BMVC

   

   Hybrid-CSR: Coupling Explicit and Implicit Shape Representation for Cortical Surface Reconstruction

   Shanlin Sun, Thanh-Tung Le, Chenyu You, and 6 more authors

   Nov 2024

   Bib PDF

   @article{sun2023hybrid,
     title = {Hybrid-CSR: Coupling Explicit and Implicit Shape Representation for Cortical Surface Reconstruction},
     author = {Sun, Shanlin and Le, Thanh-Tung and You, Chenyu and Tang, Hao and Han, Kun and Ma, Haoyu and Kong, Deying and Yan, Xiangyi and Xie, Xiaohui},
     booktitle = {British Machine Vision Conference},
     month = nov,
     year = {2024},
     note = {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.},
   }

   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. ICLR

   

   Diffeomorphic Deformation via Sliced Wasserstein Distance Optimization for Cortical Surface Reconstruction

   Tung Le, Khai Nguyen, Shanlin Sun, and 3 more authors

   In International Conference on Learning Representations , Apr 2024

   Bib PDF

   @inproceedings{le2023diffeomorphic,
     title = {Diffeomorphic Deformation via Sliced Wasserstein Distance Optimization for Cortical Surface Reconstruction},
     author = {Le, Tung and Nguyen, Khai and Sun, Shanlin and Han, Kun and Ho, Nhat and Xie, Xiaohui},
     booktitle = {International Conference on Learning Representations},
     month = apr,
     year = {2024},
   }

6. WACV

   

   Hybrid Neural Diffeomorphic Flow for Shape Representation and Generation via Triplane

   Kun Han, Shanlin Sun, Thanh-Tung Le, and 4 more authors

   In Winter Conference on Applications of Computer Vision , Jan 2024

   Bib PDF

   @inproceedings{han2024hybrid,
     title = {Hybrid Neural Diffeomorphic Flow for Shape Representation and Generation via Triplane},
     author = {Han, Kun and Sun, Shanlin and Le, Thanh-Tung and Yan, Xiangyi and Ma, Haoyu and You, Chenyu and Xie, Xiaohui},
     booktitle = {Winter Conference on Applications of Computer Vision},
     month = jan,
     year = {2024},
     note = {Built upon our NDF (Neural Diffeomorphic Flow), replacing global latent with triplane for more detailed shape representation.},
   }

   Built upon our NDF (Neural Diffeomorphic Flow), replacing global latent with triplane for more detailed shape representation.

7. WACV

   

   CVTHead: One-shot Controllable Head Avatar with Vertex-feature Transformer

   Haoyu Ma, Tong Zhang, Shanlin Sun, and 3 more authors

   In Winter Conference on Applications of Computer Vision , Jan 2024

   Bib PDF Code

   @inproceedings{ma2024cvthead,
     title = {CVTHead: One-shot Controllable Head Avatar with Vertex-feature Transformer},
     author = {Ma, Haoyu and Zhang, Tong and Sun, Shanlin and Yan, Xiangyi and Han, Kun and Xie, Xiaohui},
     booktitle = {Winter Conference on Applications of Computer Vision},
     month = jan,
     year = {2024},
   }

8. WACV

   

   AFTer-SAM: Adapting SAM With Axial Fusion Transformer for Medical Imaging Segmentation

   Xiangyi Yan, Shanlin Sun, Kun Han, and 4 more authors

   In Winter Conference on Applications of Computer Vision , Jan 2024

   Bib PDF

   @inproceedings{yan2024after,
     title = {AFTer-SAM: Adapting SAM With Axial Fusion Transformer for Medical Imaging Segmentation},
     author = {Yan, Xiangyi and Sun, Shanlin and Han, Kun and Le, Thanh-Tung and Ma, Haoyu and You, Chenyu and Xie, Xiaohui},
     booktitle = {Winter Conference on Applications of Computer Vision},
     month = jan,
     year = {2024},
   }

9. CVPR

   

   Integrating efficient optimal transport and functional maps for unsupervised shape correspondence learning

   Tung Le, Khai Nguyen, Shanlin Sun, and 2 more authors

   In Computer Vision and Pattern Recognition , Jun 2024

   Bib PDF

   @inproceedings{le2024integrating,
     title = {Integrating efficient optimal transport and functional maps for unsupervised shape correspondence learning},
     author = {Le, Tung and Nguyen, Khai and Sun, Shanlin and Ho, Nhat and Xie, Xiaohui},
     booktitle = {Computer Vision and Pattern Recognition},
     month = jun,
     year = {2024},
   }

2023

1. WACV

   

   Diffeomorphic image registration with neural velocity field

   Kun Han, Shanlin Sun, Xiangyi Yan, and 6 more authors

   In Winter Conference on Applications of Computer Vision , Jan 2023

   Bib PDF

   @inproceedings{han2023diffeomorphic,
     title = {Diffeomorphic image registration with neural velocity field},
     author = {Han, Kun and Sun, Shanlin and Yan, Xiangyi and You, Chenyu and Tang, Hao and Naushad, Junayed and Ma, Haoyu and Kong, Deying and Xie, Xiaohui},
     booktitle = {Winter Conference on Applications of Computer Vision},
     month = jan,
     year = {2023},
     note = {Taking a neural velocity field as the test time optimization module on top of learning-based methods for fast and accurate diffeomorphic image registration.},
   }

   Taking a neural velocity field as the test time optimization module on top of learning-based methods for fast and accurate diffeomorphic image registration.

2. MICCAI

   

   Medgen3d: A deep generative framework for paired 3d image and mask generation

   Kun Han, Yifeng Xiong, Chenyu You, and 5 more authors

   In International Conference on Medical Image Computing and Computer-Assisted Intervention , Oct 2023

   Bib PDF

   @inproceedings{han2023medgen3d,
     title = {Medgen3d: A deep generative framework for paired 3d image and mask generation},
     author = {Han, Kun and Xiong, Yifeng and You, Chenyu and Khosravi, Pooya and Sun, Shanlin and Yan, Xiangyi and Duncan, James S and Xie, Xiaohui},
     booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention},
     month = oct,
     year = {2023},
   }

3. arXiv

   

   Light field diffusion for single-view novel view synthesis

   Yifeng Xiong, Haoyu Ma, Shanlin Sun, and 2 more authors

   arXiv preprint, Sep 2023

   Bib PDF Website

   @article{xiong2023light,
     title = {Light field diffusion for single-view novel view synthesis},
     author = {Xiong, Yifeng and Ma, Haoyu and Sun, Shanlin and Han, Kun and Xie, Xiaohui},
     journal = {arXiv preprint},
     month = sep,
     year = {2023},
   }

2022

1. CVPR

   

   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

   Bib PDF Code

   @inproceedings{sun2022topology,
     title = {Topology-preserving shape reconstruction and registration via neural diffeomorphic flow},
     author = {Sun, Shanlin and Han, Kun and Kong, Deying and Tang, Hao and Yan, Xiangyi and Xie, Xiaohui},
     booktitle = {Computer Vision and Patern Recognition},
     month = jun,
     year = {2022},
     note = {Introcuding topology preserving to template-based deep implicit shape representation via Neural ODE.},
   }

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

2. WACV

   

   After-unet: Axial fusion transformer unet for medical image segmentation

   Xiangyi Yan, Hao Tang, Shanlin Sun, and 3 more authors

   In Winter Conference on Applications of Computer Vision , Jan 2022

   Bib PDF

   @inproceedings{yan2022after,
     title = {After-unet: Axial fusion transformer unet for medical image segmentation},
     author = {Yan, Xiangyi and Tang, Hao and Sun, Shanlin and Ma, Haoyu and Kong, Deying and Xie, Xiaohui},
     booktitle = {Winter Conference on Applications of Computer Vision},
     month = jan,
     year = {2022},
   }

2021

1. R&O

   

   A deep learning-based auto-segmentation system for organs-at-risk on whole-body computed tomography images for radiation therapy

   Xuming Chen, Shanlin Sun, Narisu Bai, and 8 more authors

   Radiotherapy and Oncology, Jan 2021

   Bib PDF

   @article{chen2021deep,
     title = {A deep learning-based auto-segmentation system for organs-at-risk on whole-body computed tomography images for radiation therapy},
     author = {Chen, Xuming and Sun, Shanlin and Bai, Narisu and Han, Kun and Liu, Qianqian and Yao, Shengyu and Tang, Hao and Zhang, Chupeng and Lu, Zhipeng and Huang, Qian and others},
     journal = {Radiotherapy and Oncology},
     volume = {160},
     pages = {175--184},
     year = {2021},
     note = {Segmenting more than 50 organs from whole body CT images. It is the core algorithm of a FDA-approved product.},
   }

   Segmenting more than 50 organs from whole body CT images. It is the core algorithm of a FDA-approved product.

2. ICCV

   

   Recurrent mask refinement for few-shot medical image segmentation

   Hao Tang, Xingwei Liu, Shanlin Sun, and 2 more authors

   In International Conference on Computer Vision , Oct 2021

   Bib PDF Code

   @inproceedings{tang2021recurrent,
     title = {Recurrent mask refinement for few-shot medical image segmentation},
     author = {Tang, Hao and Liu, Xingwei and Sun, Shanlin and Yan, Xiangyi and Xie, Xiaohui},
     booktitle = {International Conference on Computer Vision},
     month = oct,
     year = {2021},
   }