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Conterfactual Generative Zero-Shot Semantic Segmentation


Jun 11, 2021
Feihong Shen, Jun Liu, Ping Hu

* 11 pages, 8 figures 

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Knowledge-aware Deep Framework for Collaborative Skin Lesion Segmentation and Melanoma Recognition


Jun 07, 2021
Xiaohong Wang, Xudong Jiang, Henghui Ding, Yuqian Zhao, Jun Liu

* Pattern Recognition 

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Opening the Black Box of Deep Neural Networks in Physical Layer Communication


Jun 06, 2021
Jun Liu, Kai Mei, Dongtang Ma, Jibo Wei

* 5 pages, 5 figures, submitted to IEEE Wireless Communications Letters 

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Generalizable Person Re-identification with Relevance-aware Mixture of Experts


May 19, 2021
Yongxing Dai, Xiaotong Li, Jun Liu, Zekun Tong, Ling-Yu Duan

* Accepted to CVPR 2021 

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Distributed Resilient Submodular Action Selection in Adversarial Environments


May 15, 2021
Jun Liu, Lifeng Zhou, Pratap Tokekar, Ryan K. Williams

* IEEE Robotics and Automation Letters, 2021 

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UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles


Apr 12, 2021
Tianjiao Li, Jun Liu, Wei Zhang, Yun Ni, Wenqian Wang, Zhiheng Li

* Accepted by CVPR2021 

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Rank-One Prior: Toward Real-Time Scene Recovery


Apr 07, 2021
Jun Liu, Ryan Wen Liu, Jianing Sun, Tieyong Zeng

* 9 pages, 6 figures, 1 table, Accepted by CVPR 2021 

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TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events


Mar 30, 2021
Li Xu, He Huang, Jun Liu

* Accepted by CVPR 2021 

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Constrained Radar Waveform Design for Range Profiling


Mar 18, 2021
Bo Tang, Jun Liu, Hai Wang, Yihua Hu


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RL-CSDia: Representation Learning of Computer Science Diagrams


Mar 10, 2021
Shaowei Wang, LingLing Zhang, Xuan Luo, Yi Yang, Xin Hu, Jun Liu


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A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning


Feb 07, 2021
Zekun Li, Wei Zhao, Feng Shi, Lei Qi, Xingzhi Xie, Ying Wei, Zhongxiang Ding, Yang Gao, Shangjie Wu, Jun Liu, Yinghuan Shi, Dinggang Shen

* To appear in Medical Image Analysis 

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Human Action Recognition from Various Data Modalities: A Review


Jan 29, 2021
Zehua Sun, Jun Liu, Qiuhong Ke, Hossein Rahmani, Mohammed Bennamoun, Gang Wang


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Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-Identification


Jan 17, 2021
Yongxing Dai, Jun Liu, Yan Bai, Zekun Tong, Ling-Yu Duan

* 14 pages, 5 figures 

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Object Detection based on OcSaFPN in Aerial Images with Noise


Dec 18, 2020
Chengyuan Li, Jun Liu, Hailong Hong, Wenju Mao, Chenjie Wang, Chudi Hu, Xin Su, Bin Luo

* 12 pages, 6 figures 

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XTQA: Span-Level Explanations of the Textbook Question Answering


Dec 17, 2020
Jie Ma, Jun Liu, Junjun Li, Qinghua Zheng, Qingyu Yin, Jianlong Zhou, Yi Huang

* 10 pages 

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Multiscale Attention Guided Network for COVID-19 Detection Using Chest X-ray Images


Nov 11, 2020
Jingxiong Li, Yaqi Wang, Shuai Wang, Jun Wang, Jun Liu, Qun Jin, Lingling Sun


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Skeleton-based Relational Reasoning for Group Activity Analysis


Nov 11, 2020
Mauricio Perez, Jun Liu, Alex C. Kot

* 20 pages, 3 figures 

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Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications


Nov 09, 2020
Qing Li, Jiasong Zhu, Jun Liu, Rui Cao, Qingquan Li, Sen Jia, Guoping Qiu


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Exact Phase Transitions of Model RB with Slower-Growing Domains


Nov 05, 2020
Jun Liu, Ke Xu, Guangyan Zhou


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Robust Face Alignment by Multi-order High-precision Hourglass Network


Oct 17, 2020
Jun Wan, Zhihui Lai, Jun Liu, Jie Zhou, Can Gao

* Accep by IEEE Transactions on Image Processing 2020.10.14 

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Improving probability selecting based weights for Satisfiability Problem


Jul 30, 2020
Huimin Fu, Yang Xu, Jun Liu, Guanfeng Wu, Sutcliffe Geoff


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On the Convergence of Reinforcement Learning with Monte Carlo Exploring Starts


Jul 21, 2020
Jun Liu

* 12 pages, 1 figure, preprint submitted for publication 

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Fine Timing and Frequency Synchronization for MIMO-OFDM: An Extreme Learning Approach


Jul 17, 2020
Jun Liu, Kai Mei, Xiaochen Zhang, Des McLernon, Dongtang Ma, Jibo Wei, Syed Ali Raza Zaidi

* 11 pages, 12 figures, submitted to IEEE JSAC Series on Machine Learning for Communications and Networks 

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