publications

2024

1. ST-ITO: Controlling Audio Effects for Style Transfer with Inference-time Optimization

   Christian J.Steinmetz, Shubhr Singh, Marco Comunita, and 4 more authors

   International Society for Music Information Retrieval (ISMIR), 2024

2. 

   Graph neural networks in vision-language image understanding: A survey

   Henry Senior, Gregory Slabaugh, Shanxin Yuan, and 1 more author

   The Visual Computer, 2024
3. Neural radiance field rig for human 3d shape and appearance modelling

   Attila Szabo, Shanxin Yuan, Manolis Vasileiadis, and 2 more authors

   Mar 2024

   US Patent App. 18/520,110

4. 

   Video Demoiréing with Deep Temporal Color Embedding and Video-Image Invertible Consistency

   Lin Liu, Junfeng An, Shanxin Yuan, and 4 more authors

   IEEE Transactions on Multimedia, Mar 2024

2023

1. 

   Wavelet-Based Network For High Dynamic Range Imaging

   Tianhong Dai, Wei Li, Xilei Cao, and 5 more authors

   In CVIU, Mar 2023

   Bib

   @inproceedings{dai2023CVIU,
     title = {Wavelet-Based Network For High Dynamic Range Imaging},
     author = {Dai, Tianhong and Li, Wei and Cao, Xilei and Liu, Jianzhuang Liu and Jia, Xu and Leonardis, Ales and Yan, Youliang and Yuan, Shanxin},
     booktitle = {CVIU},
     year = {2023},
   }

2. 

   NeRFVS: Neural Radiance Fields for Free View Synthesis via Geometry Scaffolds

   Chen Yang, Peihao Li, Zanwei Zhou, and 5 more authors

   In CVPR, Mar 2023

   Bib

   @inproceedings{yang2023nerfvs,
     title = {NeRFVS: Neural Radiance Fields for Free View Synthesis via Geometry Scaffolds},
     author = {Yang, Chen and Li, Peihao and Zhou, Zanwei and Yuan, Shanxin and Liu, Bingbing and Yang, Xiaokang and Qiu, Weichao and Shen, Wei},
     booktitle = {CVPR},
     pages = {16549--16558},
     year = {2023},
   }

3. 

   Improving Dynamic HDR Imaging with Fusion Transformer

   Rufeng Chen, Bolun Zheng, Hua Zhang, and 4 more authors

   In AAAI, Mar 2023

   Bib

   @inproceedings{chen2023improving,
     title = {Improving Dynamic HDR Imaging with Fusion Transformer},
     author = {Chen, Rufeng and Zheng, Bolun and Zhang, Hua and Chen, Quan and Yan, Chenggang and Slabaugh, Gregory and Yuan, Shanxin},
     booktitle = {AAAI},
     volume = {37},
     number = {1},
     pages = {340--349},
     year = {2023},
   }

4. 

   Low-light video enhancement with synthetic event guidance

   Lin Liu, Junfeng An, Jianzhuang Liu, and 6 more authors

   In AAAI, Mar 2023

   Bib

   @inproceedings{liu2023low,
     title = {Low-light video enhancement with synthetic event guidance},
     author = {Liu, Lin and An, Junfeng and Liu, Jianzhuang and Yuan, Shanxin and Chen, Xiangyu and Zhou, Wengang and Li, Houqiang and Wang, Yan Feng and Tian, Qi},
     booktitle = {AAAI},
     volume = {37},
     number = {2},
     pages = {1692--1700},
     year = {2023},
   }

5. 

   Depth-guided deep filtering network for efficient single image bokeh rendering

   Quan Chen, Bolun Zheng, Xiaofei Zhou, and 5 more authors

   Neural Computing and Applications, Mar 2023

   Bib

   @article{Chen2023bokeh,
     title = {Depth-guided deep filtering network for efficient single image bokeh
     rendering},
     author = {Chen, Quan and Zheng, Bolun and Zhou, Xiaofei and Huang, Aiai and Sun, Yaoqi and Chen, Chuqiao and Yan, Chenggang and Yuan, Shanxin},
     journal = {Neural Computing and Applications},
     year = {2023},
   }

6. 

   Exploring Effective Mask Sampling Modeling for Neural Image Compression

   Lin Liu, Mingming Zhao, Shanxin Yuan, and 5 more authors

   arXiv, Mar 2023

   Bib

   @article{liu2023exploring,
     title = {Exploring Effective Mask Sampling Modeling for Neural Image Compression},
     author = {Liu, Lin and Zhao, Mingming and Yuan, Shanxin and Lyu, Wenlong and Zhou, Wengang and Li, Houqiang and Wang, Yanfeng and Tian, Qi},
     journal = {arXiv},
     year = {2023},
   }

2022

1. 

   Tape: Task-agnostic prior embedding for image restoration

   Lin Liu, Lingxi Xie, Xiaopeng Zhang, and 5 more authors

   In ECCV, Mar 2022

   Bib

   @inproceedings{liu2022tape,
     title = {Tape: Task-agnostic prior embedding for image restoration},
     author = {Liu, Lin and Xie, Lingxi and Zhang, Xiaopeng and Yuan, Shanxin and Chen, Xiangyu and Zhou, Wengang and Li, Houqiang and Tian, Qi},
     booktitle = {ECCV},
     pages = {447--464},
     year = {2022},
     organization = {Springer},
   }

2. 

   DomainPlus: Cross Transform Domain Learning towards High Dynamic Range Imaging

   Bolun Zheng, Xiaokai Pan, Hua Zhang, and 4 more authors

   In ACM MM, Mar 2022

   Bib

   @inproceedings{zheng2022domainplus,
     title = {DomainPlus: Cross Transform Domain Learning towards High Dynamic Range Imaging},
     author = {Zheng, Bolun and Pan, Xiaokai and Zhang, Hua and Zhou, Xiaofei and Slabaugh, Gregory and Yan, Chenggang and Yuan, Shanxin},
     booktitle = {ACM MM},
     pages = {1954--1963},
     year = {2022},
   }

3. 

   Siamtrans: zero-shot multi-frame image restoration with pre-trained siamese transformers

   Lin Liu, Shanxin Yuan, Jianzhuang Liu, and 3 more authors

   In AAAI, Mar 2022

   Bib

   @inproceedings{liu2022siamtrans,
     title = {Siamtrans: zero-shot multi-frame image restoration with pre-trained siamese transformers},
     author = {Liu, Lin and Yuan, Shanxin and Liu, Jianzhuang and Guo, Xin and Yan, Youliang and Tian, Qi},
     booktitle = {AAAI},
     volume = {36},
     number = {2},
     pages = {1747--1755},
     year = {2022},
   }

4. 

   Disentangling 3d attributes from a single 2d image: Human pose, shape and garment

   Xue Hu, Xinghui Li, Benjamin Busam, and 3 more authors

   BMVC, Mar 2022

   Bib

   @article{hu2022disentangling,
     title = {Disentangling 3d attributes from a single 2d image: Human pose, shape and garment},
     author = {Hu, Xue and Li, Xinghui and Busam, Benjamin and Zhou, Yiren and Leonardis, Ales and Yuan, Shanxin},
     journal = {BMVC},
     year = {2022},
   }

5. 

   Constrained predictive filters for single image bokeh rendering

   Bolun Zheng, Quan Chen, Shanxin Yuan, and 5 more authors

   IEEE Transactions on Computational Imaging, Mar 2022

   Bib

   @article{zheng2022constrained,
     title = {Constrained predictive filters for single image bokeh rendering},
     author = {Zheng, Bolun and Chen, Quan and Yuan, Shanxin and Zhou, Xiaofei and Zhang, Hua and Zhang, Jiyong and Yan, Chenggang and Slabaugh, Gregory},
     journal = {IEEE Transactions on Computational Imaging},
     volume = {8},
     pages = {346--357},
     year = {2022},
     publisher = {IEEE},
   }

6. 

   SJ-HD\^ 2R: Selective Joint High Dynamic Range and Denoising Imaging for Dynamic Scenes

   Wei Li, Shuai Xiao, Tianhong Dai, and 4 more authors

   arXiv preprint arXiv:2206.09611, Mar 2022

   Bib

   @article{li2022sj,
     title = {SJ-HD\^{} 2R: Selective Joint High Dynamic Range and Denoising Imaging for Dynamic Scenes},
     author = {Li, Wei and Xiao, Shuai and Dai, Tianhong and Yuan, Shanxin and Wang, Tao and Li, Cheng and Song, Fenglong},
     journal = {arXiv preprint arXiv:2206.09611},
     year = {2022},
   }

2021

1. 

   Learning frequency domain priors for image demoireing

   Bolun Zheng, Shanxin Yuan, Chenggang Yan, and 6 more authors

   TPAMI, Mar 2021

   Bib

   @article{zheng2021learning,
     title = {Learning frequency domain priors for image demoireing},
     author = {Zheng, Bolun and Yuan, Shanxin and Yan, Chenggang and Tian, Xiang and Zhang, Jiyong and Sun, Yaoqi and Liu, Lin and Leonardis, Ale{\v{s}} and Slabaugh, Gregory},
     journal = {TPAMI},
     volume = {44},
     number = {11},
     pages = {7705--7717},
     year = {2021},
     publisher = {IEEE},
   }

2. 

   CBREN: Convolutional neural networks for constant bit rate video quality enhancement

   Hengrun Zhao, Bolun Zheng, Shanxin Yuan, and 4 more authors

   TCSVT, Mar 2021

   Bib

   @article{zhao2021cbren,
     title = {CBREN: Convolutional neural networks for constant bit rate video quality enhancement},
     author = {Zhao, Hengrun and Zheng, Bolun and Yuan, Shanxin and Zhang, Hua and Yan, Chenggang and Li, Liang and Slabaugh, Gregory},
     journal = {TCSVT},
     volume = {32},
     number = {7},
     pages = {4138--4149},
     year = {2021},
     publisher = {IEEE},
   }

3. 

   Wavelet-Based Network For High Dynamic Range Imaging

   Tianhong Dai, Wei Li, Xilei Cao, and 5 more authors

   arXiv, Mar 2021

   Bib

   @article{dai2021wavelet,
     title = {Wavelet-Based Network For High Dynamic Range Imaging},
     author = {Dai, Tianhong and Li, Wei and Cao, Xilei and Liu, Jianzhuang and Jia, Xu and Leonardis, Ales and Yan, Youliang and Yuan, Shanxin},
     journal = {arXiv},
     year = {2021},
   }

2020

1. 

   Self-adaptively learning to demoiré from focused and defocused image pairs

   Lin Liu, Shanxin Yuan, Jianzhuang Liu, and 3 more authors

   NeurIPS, Mar 2020

   Bib

   @article{liu2020self,
     title = {Self-adaptively learning to demoir{\'e} from focused and defocused image pairs},
     author = {Liu, Lin and Yuan, Shanxin and Liu, Jianzhuang and Bao, Liping and Slabaugh, Gregory and Tian, Qi},
     journal = {NeurIPS},
     volume = {33},
     pages = {22282--22292},
     year = {2020},
   }

2. 

   Video super-resolution with temporal group attention

   Takashi Isobe, Songjiang Li, Xu Jia, and 6 more authors

   In CVPR, Mar 2020

   Bib

   @inproceedings{isobe2020video,
     title = {Video super-resolution with temporal group attention},
     author = {Isobe, Takashi and Li, Songjiang and Jia, Xu and Yuan, Shanxin and Slabaugh, Gregory and Xu, Chunjing and Li, Ya-Li and Wang, Shengjin and Tian, Qi},
     booktitle = {CVPR},
     pages = {8008--8017},
     year = {2020},
   }

3. 

   Image demoireing with learnable bandpass filters

   Bolun Zheng, Shanxin Yuan, Gregory Slabaugh, and 1 more author

   In CVPR, Mar 2020

   Bib

   @inproceedings{zheng2020image,
     title = {Image demoireing with learnable bandpass filters},
     author = {Zheng, Bolun and Yuan, Shanxin and Slabaugh, Gregory and Leonardis, Ales},
     booktitle = {CVPR},
     pages = {3636--3645},
     year = {2020},
   }

4. 

   Wavelet-based dual-branch network for image demoiréing

   Lin Liu, Jianzhuang Liu, Shanxin Yuan, and 4 more authors

   In ECCV, Mar 2020

   Bib

   @inproceedings{liu2020wavelet,
     title = {Wavelet-based dual-branch network for image demoir{\'e}ing},
     author = {Liu, Lin and Liu, Jianzhuang and Yuan, Shanxin and Slabaugh, Gregory and Leonardis, Ale{\v{s}} and Zhou, Wengang and Tian, Qi},
     booktitle = {ECCV},
     pages = {86--102},
     year = {2020},
     organization = {Springer},
   }

5. 

   Ntire 2020 challenge on image demoireing: Methods and results

   Shanxin Yuan, Radu Timofte, Ales Leonardis, and 1 more author

   In CVPR Workshops, Mar 2020

   Bib

   @inproceedings{yuan2020ntire,
     title = {Ntire 2020 challenge on image demoireing: Methods and results},
     author = {Yuan, Shanxin and Timofte, Radu and Leonardis, Ales and Slabaugh, Gregory},
     booktitle = {CVPR Workshops},
     pages = {460--461},
     year = {2020},
   }

2019

1. 

   Aim 2019 challenge on image demoireing: Methods and results

   Shanxin Yuan, Radu Timofte, Gregory Slabaugh, and 8 more authors

   In ICCV Workshops, Mar 2019

   Bib

   @inproceedings{yuan2019aim,
     title = {Aim 2019 challenge on image demoireing: Methods and results},
     author = {Yuan, Shanxin and Timofte, Radu and Slabaugh, Gregory and Leonardis, Ale{\v{s}} and Zheng, Bolun and Ye, Xin and Tian, Xiang and Chen, Yaowu and Cheng, Xi and Fu, Zhenyong and others},
     booktitle = {ICCV Workshops},
     pages = {3534--3545},
     year = {2019},
     organization = {IEEE},
   }

2. 

   Aim 2019 challenge on image demoireing: Dataset and study

   Shanxin Yuan, Radu Timofte, Gregory Slabaugh, and 1 more author

   In ICCV Workshops, Mar 2019

   Bib

   @inproceedings{yuan2019ain,
     title = {Aim 2019 challenge on image demoireing: Dataset and study},
     author = {Yuan, Shanxin and Timofte, Radu and Slabaugh, Gregory and Leonardis, Ale{\v{s}}},
     booktitle = {ICCV Workshops},
     pages = {3526--3533},
     year = {2019},
     organization = {IEEE},
   }

3. 

   3D hand pose estimation from RGB using privileged learning with depth data

   Shanxin Yuan, Bjorn Stenger, and Tae-Kyun Kim

   In ICCV Workshops, Mar 2019

   Bib

   @inproceedings{yuan20193d,
     title = {3D hand pose estimation from RGB using privileged learning with depth data},
     author = {Yuan, Shanxin and Stenger, Bjorn and Kim, Tae-Kyun},
     booktitle = {ICCV Workshops},
     pages = {0--0},
     year = {2019},
   }

2018

1. 

   Opening the black box: Hierarchical sampling optimization for hand pose estimation

   Danhang Tang, Qi Ye, Shanxin Yuan, and 5 more authors

   TPAMI, Mar 2018

   Bib

   @article{tang2018opening,
     title = {Opening the black box: Hierarchical sampling optimization for hand pose estimation},
     author = {Tang, Danhang and Ye, Qi and Yuan, Shanxin and Taylor, Jonathan and Kohli, Pushmeet and Keskin, Cem and Kim, Tae-Kyun and Shotton, Jamie},
     journal = {TPAMI},
     volume = {41},
     number = {9},
     pages = {2161--2175},
     year = {2018},
     publisher = {IEEE},
   }

2. 

   Depth-based 3d hand pose estimation: From current achievements to future goals

   Shanxin Yuan, Guillermo Garcia-Hernando, Björn Stenger, and 8 more authors

   In CVPR, Mar 2018

   Bib

   @inproceedings{yuan2018depth,
     title = {Depth-based 3d hand pose estimation: From current achievements to future goals},
     author = {Yuan, Shanxin and Garcia-Hernando, Guillermo and Stenger, Bj{\"o}rn and Moon, Gyeongsik and Chang, Ju Yong and Lee, Kyoung Mu and Molchanov, Pavlo and Kautz, Jan and Honari, Sina and Ge, Liuhao and others},
     booktitle = {CVPR},
     pages = {2636--2645},
     year = {2018},
   }

3. 

   First-person hand action benchmark with rgb-d videos and 3d hand pose annotations

   Guillermo Garcia-Hernando, Shanxin Yuan, Seungryul Baek, and 1 more author

   In CVPR, Mar 2018

   Bib

   @inproceedings{garcia2018first,
     title = {First-person hand action benchmark with rgb-d videos and 3d hand pose annotations},
     author = {Garcia-Hernando, Guillermo and Yuan, Shanxin and Baek, Seungryul and Kim, Tae-Kyun},
     booktitle = {CVPR},
     pages = {409--419},
     year = {2018},
   }

2017

1. 

   Bighand2. 2m benchmark: Hand pose dataset and state of the art analysis

   Shanxin Yuan, Qi Ye, Bjorn Stenger, and 2 more authors

   In CVPR, Mar 2017

   Bib

   @inproceedings{yuan2017bighand2,
     title = {Bighand2. 2m benchmark: Hand pose dataset and state of the art analysis},
     author = {Yuan, Shanxin and Ye, Qi and Stenger, Bjorn and Jain, Siddhant and Kim, Tae-Kyun},
     booktitle = {CVPR},
     pages = {4866--4874},
     year = {2017},
   }

2. 

   The 2017 hands in the million challenge on 3d hand pose estimation

   Shanxin Yuan, Qi Ye, Guillermo Garcia-Hernando, and 1 more author

   arXiv preprint arXiv:1707.02237, Mar 2017

   Bib

   @article{yuan20172017,
     title = {The 2017 hands in the million challenge on 3d hand pose estimation},
     author = {Yuan, Shanxin and Ye, Qi and Garcia-Hernando, Guillermo and Kim, Tae-Kyun},
     journal = {arXiv preprint arXiv:1707.02237},
     year = {2017},
   }

2016

1. 

   Spatial attention deep net with partial pso for hierarchical hybrid hand pose estimation

   Qi Ye, Shanxin Yuan, and Tae-Kyun Kim

   In ECCV, Mar 2016

   Bib

   @inproceedings{ye2016spatial,
     title = {Spatial attention deep net with partial pso for hierarchical hybrid hand pose estimation},
     author = {Ye, Qi and Yuan, Shanxin and Kim, Tae-Kyun},
     booktitle = {ECCV},
     pages = {346--361},
     year = {2016},
     organization = {Springer},
   }

2013

1. 

   Robust multi-patch tracking

   Shanxin Yuan, Jun Miao, and Laiyun Qing

   In ICIP, Mar 2013

   Bib

   @inproceedings{yuan2013robust,
     title = {Robust multi-patch tracking},
     author = {Yuan, Shanxin and Miao, Jun and Qing, Laiyun},
     booktitle = {ICIP},
     pages = {3108--3112},
     year = {2013},
     organization = {IEEE},
   }