@inproceedings{GRIDS,title={GRIDS: Grouped Multiple-Degradation Restoration with Image Degradation Similarity},author={Cao, Shuo and Liu, Yihao and Zhang, Wenlong and Qiao, Yu and Dong, Chao},booktitle={European Conference on Computer Vision(ECCV)},year={2024},}
ICLR Spotlight
SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution
Wenlong Zhang , Xiaohui Li , Xiangyu Chen , Yu Qiao , Xiao-Ming Wu , and 1 more author
In International Conference on Learning Representations (ICLR Spotlight) , 2024
@inproceedings{zhang2023arxiv,title={SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution},author={Zhang, Wenlong and Li, Xiaohui and Chen, Xiangyu and Qiao, Yu and Wu, Xiao-Ming and Dong, Chao},booktitle={International Conference on Learning Representations (ICLR Spotlight)},year={2024},}
2023
arXiv
HAT: Hybrid Attention Transformer for Image Restoration
Xiangyu Chen , Xintao Wang , Wenlong Zhang , Xiangtao Kong , Yu Qiao , and 2 more authors
@inproceedings{chen2023arxiv,title={HAT: Hybrid Attention Transformer for Image Restoration},author={Chen, Xiangyu and Wang, Xintao and Zhang, Wenlong and Kong, Xiangtao and Qiao, Yu and Zhou, Jiantao and Dong, Chao},booktitle={arXiv preprint},year={2023},}
NeurIPS
Real-World Image Super-Resolution as Multi-Task Learning
Wenlong Zhang , Xiaohui Li , Guangyuan Shi , Xiangyu Chen , Yu Qiao , and 3 more authors
In Advances in Neural Information Processing Systems (NeurIPS) , 2023
@inproceedings{zhang2023tgsr,title={Real-World Image Super-Resolution as Multi-Task Learning},author={Zhang, Wenlong and Li, Xiaohui and Shi, Guangyuan and Chen, Xiangyu and Qiao, Yu and Zhang, Xiaoyun and Wu, Xiao-Ming and Dong, Chao},booktitle={Advances in Neural Information Processing Systems (NeurIPS)},year={2023},}
ICLR
Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning
Guangyuan Shi , Qimai Li , Wenlong Zhang , Jiaxin Chen , and Xiao-Ming Wu
In The Eleventh International Conference on Learning Representations (ICLR) , 2023
@inproceedings{zhang2023tgss,title={Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning},author={Shi, Guangyuan and Li, Qimai and Zhang, Wenlong and Chen, Jiaxin and Wu, Xiao-Ming},booktitle={The Eleventh International Conference on Learning Representations (ICLR)},year={2023},}
TGRS
Spatial Resolution Matching of Microwave Radiometer Measurements Using Iterative Deconvolution with Close Loop Priors (ICLP)
Zhiyu Yao , Weidong Hu , Zhiyan Feng , Wenlong Zhang , Yang Liu , and 2 more authors
In IEEE Transactions on Geoscience and Remote Sensing , 2023
@inproceedings{2023iclp,title={Spatial Resolution Matching of Microwave Radiometer Measurements Using Iterative Deconvolution with Close Loop Priors (ICLP)},author={Yao, Zhiyu and Hu, Weidong and Feng, Zhiyan and Zhang, Wenlong and Liu, Yang and Xu, Zhihao and Ligthart, Leo P},booktitle={IEEE Transactions on Geoscience and Remote Sensing},year={2023},}
2022
CVPRw oral
A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds
Wenlong Zhang , Guangyuan Shi , Yihao Liu , Chao Dong , and Xiao-Ming Wu
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , Jun 2022
@inproceedings{Zhang_2022_CVPR,author={Zhang, Wenlong and Shi, Guangyuan and Liu, Yihao and Dong, Chao and Wu, Xiao-Ming},title={A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds},booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},month=jun,year={2022},pages={527-536},}
2021
T-PAMI
Ranksrgan: Generative adversarial networks with ranker for image super-resolution
Wenlong Zhang , Yihao Liu , Chao Dong , and Yu Qiao
IEEE Transactions on Pattern Analysis and Machine Intelligence, Jun 2021
@article{wenlong2021ranksrgan,title={Ranksrgan: Generative adversarial networks with ranker for image super-resolution},author={Zhang, Wenlong and Liu, Yihao and Dong, Chao and Qiao, Yu},journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},year={2021},publisher={IEEE},}
NeurIPS spotlight
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima
Guangyuan Shi , Jiaxin Chen , Wenlong Zhang , Li-Ming Zhan , and Xiao-Ming Wu
Advances in Neural Information Processing Systems, Jun 2021
@article{shi2021overcoming,title={Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima},author={Shi, Guangyuan and Chen, Jiaxin and Zhang, Wenlong and Zhan, Li-Ming and Wu, Xiao-Ming},journal={Advances in Neural Information Processing Systems},volume={34},year={2021},}
2020
Sensors
Radar Cross Section Near-Field to Far-Field Prediction for Isotropic-Point Scattering Target Based on Regression Estimation
Yang Liu , Weidong Hu , Wenlong Zhang , Jianhang Sun , Baige Xing , and 1 more author
@article{liu2020radar,title={Radar Cross Section Near-Field to Far-Field Prediction for Isotropic-Point Scattering Target Based on Regression Estimation},author={Liu, Yang and Hu, Weidong and Zhang, Wenlong and Sun, Jianhang and Xing, Baige and Ligthart, Leo},journal={Sensors},volume={20},number={21},pages={6023},year={2020},}
2019
ICCV oral
Ranksrgan: Generative adversarial networks with ranker for image super-resolution
Wenlong Zhang , Yihao Liu , Chao Dong , and Yu Qiao
In Proceedings of the IEEE/CVF International Conference on Computer Vision , Jun 2019
@inproceedings{zhang2019ranksrgan,title={Ranksrgan: Generative adversarial networks with ranker for image super-resolution},author={Zhang, Wenlong and Liu, Yihao and Dong, Chao and Qiao, Yu},booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},pages={3096--3105},year={2019},}
Remote Sensing
Spatial resolution enhancement of satellite microwave radiometer data with deep residual convolutional neural network
Weidong Hu , Yade Li , Wenlong Zhang , Shi Chen , Xin Lv , and 1 more author
@article{hu2019spatial,title={Spatial resolution enhancement of satellite microwave radiometer data with deep residual convolutional neural network},author={Hu, Weidong and Li, Yade and Zhang, Wenlong and Chen, Shi and Lv, Xin and Ligthart, Leo},journal={Remote Sensing},volume={11},number={7},pages={771},year={2019},}
Remote Sensing
Spatial resolution matching of microwave radiometer data with convolutional neural network
Yade Li , Weidong Hu , Shi Chen , Wenlong Zhang , Rui Guo , and 2 more authors
@article{li2019spatial,title={Spatial resolution matching of microwave radiometer data with convolutional neural network},author={Li, Yade and Hu, Weidong and Chen, Shi and Zhang, Wenlong and Guo, Rui and He, Jingwen and Ligthart, Leo},journal={Remote Sensing},volume={11},number={20},pages={2432},year={2019},}
2018
Remote Sensing
A deconvolution technology of microwave radiometer data using convolutional neural networks
Weidong Hu , Wenlong Zhang , Shi Chen , Xin Lv , Dawei An , and 1 more author
@article{hu2018deconvolution,title={A deconvolution technology of microwave radiometer data using convolutional neural networks},author={Hu, Weidong and Zhang, Wenlong and Chen, Shi and Lv, Xin and An, Dawei and Ligthart, Leo},journal={Remote Sensing},volume={10},number={2},pages={275},year={2018},}