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3D Human Mesh Regression with Dense Correspondence

Jun 10, 2020
Wang Zeng, Wanli Ouyang, Ping Luo, Wentao Liu, Xiaogang Wang

* To appear at CVPR 2020 

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Learning a Reinforced Agent for Flexible Exposure Bracketing Selection

May 26, 2020
Zhouxia Wang, Jiawei Zhang, Mude Lin, Jiong Wang, Ping Luo, Jimmy Ren

* to be published in CVPR 2020 

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AdaX: Adaptive Gradient Descent with Exponential Long Term Memory

May 04, 2020
Wenjie Li, Zhaoyang Zhang, Xinjiang Wang, Ping Luo

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Convolution-Weight-Distribution Assumption: Rethinking the Criteria of Channel Pruning

Apr 24, 2020
Zhongzhan Huang, Xinjiang Wang, Ping Luo

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Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation

Mar 31, 2020
Xingang Pan, Xiaohang Zhan, Bo Dai, Dahua Lin, Chen Change Loy, Ping Luo

* 1) Precise GAN-inversion by discriminator-guided generator finetuning. 2) A versatile way for high-quality image restoration and manipulation. Code: 

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Segmenting Transparent Objects in the Wild

Mar 31, 2020
Enze Xie, Wenjia Wang, Wenhai Wang, Mingyu Ding, Chunhua Shen, Ping Luo

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Exemplar Normalization for Learning Deep Representation

Mar 20, 2020
Ruimao Zhang, Zhanglin Peng, Lingyun Wu, Zhen Li, Ping Luo

* Accepted by CVPR2020, normalization methods, image classification 

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Domain-Adaptive Few-Shot Learning

Mar 19, 2020
An Zhao, Mingyu Ding, Zhiwu Lu, Tao Xiang, Yulei Niu, Jiechao Guan, Ji-Rong Wen, Ping Luo

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Towards Photo-Realistic Virtual Try-On by Adaptively Generating$\leftrightarrow$Preserving Image Content

Mar 12, 2020
Han Yang, Ruimao Zhang, Xiaobao Guo, Wei Liu, Wangmeng Zuo, Ping Luo

* CVPR 2020 

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Channel Equilibrium Networks for Learning Deep Representation

Feb 29, 2020
Wenqi Shao, Shitao Tang, Xingang Pan, Ping Tan, Xiaogang Wang, Ping Luo

* 19 pages, 8 figures 

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How Does BN Increase Collapsed Neural Network Filters?

Jan 31, 2020
Sheng Zhou, Xinjiang Wang, Ping Luo, Litong Feng, Wenjie Li, Wei Zhang

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Learning Depth-Guided Convolutions for Monocular 3D Object Detection

Dec 13, 2019
Mingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi, Zhiwu Lu, Ping Luo

* 12 pages, 8 figures, modify email and add code 

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Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow

Nov 28, 2019
Mingyu Ding, Zhe Wang, Bolei Zhou, Jianping Shi, Zhiwu Lu, Ping Luo

* Published in AAAI 2020 

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Vision-Infused Deep Audio Inpainting

Oct 24, 2019
Hang Zhou, Ziwei Liu, Xudong Xu, Ping Luo, Xiaogang Wang

* To appear in ICCV 2019. Code, models, dataset and video results are available at the project page: 

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TextSR: Content-Aware Text Super-Resolution Guided by Recognition

Oct 20, 2019
Wenjia Wang, Enze Xie, Peize Sun, Wenhai Wang, Lixun Tian, Chunhua Shen, Ping Luo

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PolarMask: Single Shot Instance Segmentation with Polar Representation

Oct 10, 2019
Enze Xie, Peize Sun, Xiaoge Song, Wenhai Wang, Xuebo Liu, Ding Liang, Chunhua Shen, Ping Luo

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Towards Improving Generalization of Deep Networks via Consistent Normalization

Aug 31, 2019
Aojun Zhou, Yukun Ma, Yudian Li, Xiaohan Zhang, Ping Luo

* Technical Report 

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Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid

Aug 30, 2019
Zhanghui Kuang, Yiming Gao, Guanbin Li, Ping Luo, Yimin Chen, Liang Lin, Wayne Zhang

* ICCV 2019 (oral) 

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Deep Self-Learning From Noisy Labels

Aug 20, 2019
Jiangfan Han, Ping Luo, Xiaogang Wang

* Accepted by IEEE International Conference on Computer Vision (ICCV) 2019 

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Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks

Aug 19, 2019
Zhaoyang Zhang, Jingyu Li, Wenqi Shao, Zhanglin Peng, Ruimao Zhang, Xiaogang Wang, Ping Luo

* accepted by ICCV 2019 

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Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once

Aug 14, 2019
Jiangfan Han, Xiaoyi Dong, Ruimao Zhang, Dongdong Chen, Weiming Zhang, Nenghai Yu, Ping Luo, Xiaogang Wang

* Accepted by ICCV 2019 

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MaskGAN: Towards Diverse and Interactive Facial Image Manipulation

Jul 27, 2019
Cheng-Han Lee, Ziwei Liu, Lingyun Wu, Ping Luo

* High-resolution face parsing dataset as well as new face manipulation model. The code, models and dataset are available at \url{

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