Yulun Zhang

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Soavtorji

Yun Raymond FuNEU, COE Distinguished Professor; MAE, FNAI, FAAAS, FIEEE, FAAAI, FSPIE, FOSA, FIAPRPreverjeni e-poštni naslov na neu.edu
Luc Van Goolprofessor computer vision INSAIT Sofia University, em. KU Leuven, em. ETHZ, Toyota Lab TRACEPreverjeni e-poštni naslov na insait.ai
Radu TimofteHumboldt Professor for AI and Computer Vision, University of WürzburgPreverjeni e-poštni naslov na uni-wuerzburg.de
Kunpeng LiResearch Scientist, Meta GenAIPreverjeni e-poštni naslov na meta.com
Yapeng TianAssistant Professor, University of Texas at DallasPreverjeni e-poštni naslov na utdallas.edu
Kai LiNEC Labs, AmericaPreverjeni e-poštni naslov na nec-labs.com
Yuanhao CaiJohns Hopkins University | Tsinghua UniversityPreverjeni e-poštni naslov na jh.edu
Can QinSalesforcePreverjeni e-poštni naslov na salesforce.com
Huan WangWestlake UniversityPreverjeni e-poštni naslov na westlake.edu.cn
Hanspeter PfisterAn Wang Professor of Computer Science, Harvard UniversityPreverjeni e-poštni naslov na seas.harvard.edu
Yongbing ZhangHarbin Institute of Technology (Shenzhen)Preverjeni e-poštni naslov na hit.edu.cn
Donglai WeiAssistant Professor, Boston CollegePreverjeni e-poštni naslov na bc.edu
Bin XiaThe Chinese University of Hong KongPreverjeni e-poštni naslov na link.cuhk.edu.hk
Qionghai DaiTsinghua UniversityPreverjeni e-poštni naslov na tsinghua.edu.cn
Gan SunProfessor, South China University of TechnologyPreverjeni e-poštni naslov na scut.edu.cn
Chenliang XuAssociate Professor of Computer Science, University of RochesterPreverjeni e-poštni naslov na rochester.edu
Xiaokang YangFIEEE, Shanghai Jiao Tong UniversityPreverjeni e-poštni naslov na sjtu.edu.cn
Bineng Zhong 钟必能Guangxi Normal University, Professor; NEU, HIT, Huaqiao UniversityPreverjeni e-poštni naslov na gxnu.edu.cn
Zhaowen WangAdobe ResearchPreverjeni e-poštni naslov na adobe.com
Jan AllebachSchool of Electrical and Computer Engineering, Purdue UniversityPreverjeni e-poštni naslov na purdue.edu

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Yulun Zhang

Associate Professor, Shanghai Jiao Tong University

Preverjeni e-poštni naslov na sjtu.edu.cn - Domača stran

Computer Vision Image Restoration Model Compression Large Language Model


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Image super-resolution using very deep residual channel attention networks Y Zhang, K Li, K Li, L Wang, B Zhong, Y Fu Proceedings of the European conference on computer vision (ECCV), 286-301, 2018	5781	2018
Residual dense network for image super-resolution Y Zhang, Y Tian, Y Kong, B Zhong, Y Fu Proceedings of the IEEE conference on computer vision and pattern …, 2018	5172	2018
Ntire 2017 challenge on single image super-resolution: Methods and results R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2017	2011	2017
Residual Non-local Attention Networks for Image Restoration Y Zhang, K Li, K Li, B Zhong, Y Fu International Conference on Learning Representations (ICLR), 2019	883	2019
Tdan: Temporally-deformable alignment network for video super-resolution Y Tian, Y Zhang, Y Fu, C Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	692	2020
Visual semantic reasoning for image-text matching K Li, Y Zhang, K Li, Y Li, Y Fu Proceedings of the IEEE/CVF international conference on computer vision …, 2019	657	2019
Gan inversion: A survey W Xia, Y Zhang, Y Yang, JH Xue, B Zhou, MH Yang IEEE transactions on pattern analysis and machine intelligence 45 (3), 3121-3138, 2022	643	2022
Cddfuse: Correlation-driven dual-branch feature decomposition for multi-modality image fusion Z Zhao, H Bai, J Zhang, Y Zhang, S Xu, Z Lin, R Timofte, L Van Gool Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023	423	2023
Adversarial feature hallucination networks for few-shot learning K Li, Y Zhang, K Li, Y Fu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	358	2020
Retinexformer: One-stage retinex-based transformer for low-light image enhancement Y Cai, H Bian, J Lin, H Wang, R Timofte, Y Zhang Proceedings of the IEEE/CVF international conference on computer vision …, 2023	303	2023
Latticenet: Towards lightweight image super-resolution with lattice block X Luo, Y Xie, Y Zhang, Y Qu, C Li, Y Fu Computer vision–ECCV 2020: 16th European conference, Glasgow, UK, August 23 …, 2020	302	2020
Mask-guided spectral-wise transformer for efficient hyperspectral image reconstruction Y Cai, J Lin, X Hu, H Wang, X Yuan, Y Zhang, R Timofte, L Van Gool Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022	301	2022
Dual aggregation transformer for image super-resolution Z Chen, Y Zhang, J Gu, L Kong, X Yang, F Yu Proceedings of the IEEE/CVF international conference on computer vision …, 2023	239	2023
Diffir: Efficient diffusion model for image restoration B Xia, Y Zhang, S Wang, Y Wang, X Wu, Y Tian, W Yang, L Van Gool Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023	238	2023
Camouflaged object detection with feature decomposition and edge reconstruction C He, K Li, Y Zhang, L Tang, Y Zhang, Z Guo, X Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023	229	2023
Mst++: Multi-stage spectral-wise transformer for efficient spectral reconstruction Y Cai, J Lin, Z Lin, H Wang, Y Zhang, H Pfister, R Timofte, L Van Gool Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	224	2022
Pyramid attention network for image restoration Y Mei, Y Fan, Y Zhang, J Yu, Y Zhou, D Liu, Y Fu, TS Huang, H Shi International Journal of Computer Vision 131 (12), 3207-3225, 2023	220	2023
Zooming slow-mo: Fast and accurate one-stage space-time video super-resolution X Xiang, Y Tian, Y Zhang, Y Fu, JP Allebach, C Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	202	2020
Channel splitting network for single MR image super-resolution X Zhao, Y Zhang, T Zhang, X Zou IEEE transactions on image processing 28 (11), 5649-5662, 2019	189	2019
Neural pruning via growing regularization H Wang, C Qin, Y Zhang, Y Fu International Conference on Learning Representations, 2021	188	2021

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