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Privacy-preserving Channel Estimation in Cell-free Hybrid Massive MIMO Systems

Jan 26, 2021
Jun Xu, Xiaodong Wang, Pengcheng Zhu, Xiaohu You

* 30pages, 10figures 

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Discovering Dialog Structure Graph for Open-Domain Dialog Generation

Dec 31, 2020
Jun Xu, Zeyang Lei, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu


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MobileSal: Extremely Efficient RGB-D Salient Object Detection

Dec 24, 2020
Yu-Huan Wu, Yun Liu, Jun Xu, Jia-Wang Bian, Yuchao Gu, Ming-Ming Cheng


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Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains

Oct 17, 2020
Weijie Yu, Chen Xu, Jun Xu, Liang Pang, Xiaopeng Gao, Xiaozhao Wang, Ji-Rong Wen

* accepted as long paper by EMNLP 2020 

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Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields

Oct 07, 2020
Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Ji-Rong Wen, Nianwen Xue

* Accept as EMNLP-findings 2020 

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Pre-training for Video Captioning Challenge 2020 Summary

Jul 27, 2020
Yingwei Pan, Jun Xu, Yehao Li, Ting Yao, Tao Mei


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Variance Reduction for Deep Q-Learning using Stochastic Recursive Gradient

Jul 25, 2020
Haonan Jia, Xiao Zhang, Jun Xu, Wei Zeng, Hao Jiang, Xiaohui Yan, Ji-Rong Wen

* 8 pages, 3 figures 

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Learning to Learn with Variational Information Bottleneck for Domain Generalization

Jul 15, 2020
Yingjun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao

* 15 pages, 4 figures, ECCV2020 

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Auto-captions on GIF: A Large-scale Video-sentence Dataset for Vision-language Pre-training

Jul 05, 2020
Yingwei Pan, Yehao Li, Jianjie Luo, Jun Xu, Ting Yao, Tao Mei

* The Auto-captions on GIF dataset is available at \url{http://www.auto-video-captions.top/2020/dataset

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Interactive Knowledge Distillation

Jul 03, 2020
Shipeng Fu, Zhen Li, Jun Xu, Ming-Ming Cheng, Gwanggil Jeon, Xiaomin Yang


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Learning to Learn Kernels with Variational Random Features

Jun 11, 2020
Xiantong Zhen, Haoliang Sun, Yingjun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek

* ICML'2020; code is available in: https://github.com/Yingjun-Du/MetaVRF 

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Conditional Variational Image Deraining

May 08, 2020
Ying-Jun Du, Jun Xu, Xian-Tong Zhen, Ming-Ming Cheng, Ling Shao

* 14pages, 11 figures, 5 tables, newly accepted by TIP 

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Bilateral Attention Network for RGB-D Salient Object Detection

Apr 30, 2020
Zhao Zhang, Zheng Lin, Jun Xu, Wenda Jin, Shao-Ping Lu, Deng-Ping Fan


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Gradient-Induced Co-Saliency Detection

Apr 28, 2020
Zhao Zhang, Wenda Jin, Jun Xu, Ming-Ming Cheng


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JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation

Apr 15, 2020
Yu-Huan Wu, Shang-Hua Gao, Jie Mei, Jun Xu, Deng-Ping Fan, Chao-Wei Zhao, Ming-Ming Cheng

* 11 pages, 10 figures 

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Deep Hough Transform for Semantic Line Detection

Mar 10, 2020
Qi Han, Kai Zhao, Jun Xu, Mingg-Ming Cheng

* https://github.com/Hanqer/deep-hough-transform 

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RANet: Ranking Attention Network for Fast Video Object Segmentation

Sep 08, 2019
Ziqin Wang, Jun Xu, Li Liu, Fan Zhu, Ling Shao

* Accepted by ICCV 2019. 10 pages, 7 figures, 6 tables. The supplementary file can be found at https://csjunxu.github.io/paper/2019ICCV/RANet_supp.pdf ; Code is available at https://github.com/Storife/RANet 

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Non-negative Sparse and Collaborative Representation for Pattern Classification

Aug 29, 2019
Jun Xu, Zhou Xu, Wangpeng An, Haoqian Wang, David Zhang

* 26 pages, 11 tables, 3 figures. arXiv admin note: text overlap with arXiv:1806.04329 

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HorNet: A Hierarchical Offshoot Recurrent Network for Improving Person Re-ID via Image Captioning

Aug 14, 2019
Shiyang Yan, Jun Xu, Yuai Liu, Lin Xu

* 10 pages, 5 figures, published in IJCAI19 

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Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition

Aug 11, 2019
Haoqian Wang, Zhiwei Xu, Jun Xu, Wangpeng An, Lei Zhang, Qionghai Dai

* 13 pages, 11 figures, 8 tables. arXiv admin note: text overlap with arXiv:1606.03498 by other authors 

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NLH: A Blind Pixel-level Non-local Method for Real-world Image Denoising

Aug 04, 2019
Yingkun Hou, Jun Xu, Guanghai Liu, Li Liu, Fan Zhu, Ling Shao

* 12 pages, 8 figures, 8 tables 

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Neural or Statistical: An Empirical Study on Language Models for Chinese Input Recommendation on Mobile

Jul 09, 2019
Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng

* LNCS2017 

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Noisy-As-Clean: Learning Unsupervised Denoising from the Corrupted Image

Jul 04, 2019
Jun Xu, Yuan Huang, Li Liu, Fan Zhu, Xingsong Hou, Ling Shao

* 13 pages, 7 figures, 8 tables 

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Predicting Retrosynthetic Reaction using Self-Corrected Transformer Neural Networks

Jul 03, 2019
Shuangjia Zheng, Jiahua Rao, Zhongyue Zhang, Jun Xu, Yuedong Yang


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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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