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Jun Liu

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


Apr 02, 2021
Tianjiao Li, Jun Liu, Wei Zhang, Yun Ni, Wenqian Wang, Zhiheng Li

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* Accepted by CVPR2021 
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Rank-One Prior: Toward Real-Time Scene Recovery


Mar 31, 2021
Jun Liu, Ryan Wen Liu, Jianing Sun, Tieyong Zeng

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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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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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Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet


Jun 30, 2020
Chuang Zhu, Ke Mei, Ting Peng, Yihao Luo, Jun Liu, Ying Wang, Mulan Jin

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* accepted by Neurocomputing; winner of the MICCAI DigestPath 2019 challenge on colonoscopy tissue segmentation and classification task 
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MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation


Jun 27, 2020
Jun Liu, Qing Li, Rui Cao, Wenming Tang, Guoping Qiu

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* Volume 166, August 2020, Pages 255-267 
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AGVNet: Attention Guided Velocity Learning for 3D Human Motion Prediction


Jun 09, 2020
Xiaoli Liu, Jianqin Yin, Huaping Liu, Jun Liu

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Can Synthetic Data Improve Object Detection Results for Remote Sensing Images?


Jun 09, 2020
Weixing Liu, Jun Liu, Bin Luo

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* 5 pages, 5 figures 
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KGTK: A Toolkit for Large Knowledge Graph Manipulation and Analysis


May 29, 2020
Filip Ilievski, Daniel Garijo, Hans Chalupsky, Naren Teja Divvala, Yixiang Yao, Craig Rogers, Ronpeng Li, Jun Liu, Amandeep Singh, Daniel Schwabe, Pedro Szekely

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* 16 pages 
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Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images


May 24, 2020
Kelei He, Wei Zhao, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Feng Shi, Yang Gao, Jun Liu, Junfeng Zhang, Dinggang Shen

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