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Learning Class-Agnostic Pseudo Mask Generation for Box-Supervised Semantic Segmentation


Mar 09, 2021
Chaohao Xie, Dongwei Ren, Lei Wang, Qinghua Hu, Liang Lin, Wangmeng Zuo

* 14 pages, 7 figures 

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Localization Distillation for Object Detection


Feb 25, 2021
Zhaohui Zheng, Rongguang Ye, Ping Wang, Jun Wang, Dongwei Ren, Wangmeng Zuo

* Our source code and trained models are publicly available at https://github.com/HikariTJU/LD 

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Two-Stage Single Image Reflection Removal with Reflection-Aware Guidance


Dec 02, 2020
Yu Li, Ming Liu, Yaling Yi, Qince Li, Dongwei Ren, Wangmeng Zuo


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Unpaired Learning of Deep Image Denoising


Aug 31, 2020
Xiaohe Wu, Ming Liu, Yue Cao, Dongwei Ren, Wangmeng Zuo

* 20 pages, 6 figures, ECCV 

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Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation


May 08, 2020
Zhaohui Zheng, Ping Wang, Dongwei Ren, Wei Liu, Rongguang Ye, Qinghua Hu, Wangmeng Zuo

* All the source code and trained models are available at https://github.com/Zzh-tju/CIoU arXiv admin note: text overlap with arXiv:1911.08287 

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What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective


Mar 25, 2020
Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu

* Accepted to CVPR 2020; Project Page: https://github.com/ZhangLi-CS/GCP_Optimization 

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Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression


Nov 19, 2019
Zhaohui Zheng, Ping Wang, Wei Liu, Jinze Li, Rongguang Ye, Dongwei Ren

* Accepted to AAAI 2020. The source code and trained models are available at https://github.com/Zzh-tju/DIoU 

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Neural Blind Deconvolution Using Deep Priors


Aug 06, 2019
Dongwei Ren, Kai Zhang, Qilong Wang, Qinghua Hu, Wangmeng Zuo

* The source code is available at https://github.com/csdwren/SelfDeblur, and the supplementary file is at https://csdwren.github.io/papers/SelfDeblur_supp.pdf 

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STAR: A Structure and Texture Aware Retinex Model


Jun 30, 2019
Jun Xu, Mengyang Yu, Li Liu, Fan Zhu, Dongwei Ren, Yingkun Hou, Haoqian Wang, Ling Shao

* 12 pages, 10 figures 

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Progressive Image Deraining Networks: A Better and Simpler Baseline


Jan 26, 2019
Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, Deyu Meng

* The codes, pre-trained models and results are available at https://github.com/csdwren/PReNet 

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Unsupervised Degradation Learning for Single Image Super-Resolution


Dec 13, 2018
Tianyu Zhao, Wenqi Ren, Changqing Zhang, Dongwei Ren, Qinghua Hu

* 9 pages, 9 figures 

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Iterative Residual Image Deconvolution


Nov 04, 2018
Li Si-Yao, Dongwei Ren, Furong Zhao, Zijian Hu, Junfeng Li, Qian Yin

* rejected by AAAI 2019 

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Simultaneous Fidelity and Regularization Learning for Image Restoration


Oct 16, 2018
Dongwei Ren, Wangmeng Zuo, David Zhang, Lei Zhang, Ming-Hsuan Yang


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Understanding kernel size in blind deconvolution


Jul 05, 2018
Li Si-Yao, Dongwei Ren, Qian Yin, Ping Guo

* Rejected by ECCV 2018 

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