Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Jun Liu

Jun Liu

Conterfactual Generative Zero-Shot Semantic Segmentation


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

Figure 1 for Conterfactual Generative Zero-Shot Semantic Segmentation
Figure 2 for Conterfactual Generative Zero-Shot Semantic Segmentation
Figure 3 for Conterfactual Generative Zero-Shot Semantic Segmentation
Figure 4 for Conterfactual Generative Zero-Shot Semantic Segmentation
* 11 pages, 8 figures 
  Access Paper or Ask Questions

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

Figure 1 for Knowledge-aware Deep Framework for Collaborative Skin Lesion Segmentation and Melanoma Recognition
Figure 2 for Knowledge-aware Deep Framework for Collaborative Skin Lesion Segmentation and Melanoma Recognition
Figure 3 for Knowledge-aware Deep Framework for Collaborative Skin Lesion Segmentation and Melanoma Recognition
Figure 4 for Knowledge-aware Deep Framework for Collaborative Skin Lesion Segmentation and Melanoma Recognition
* Pattern Recognition 
  Access Paper or Ask Questions

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


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

Figure 1 for Opening the Black Box of Deep Neural Networks in Physical Layer Communication
Figure 2 for Opening the Black Box of Deep Neural Networks in Physical Layer Communication
Figure 3 for Opening the Black Box of Deep Neural Networks in Physical Layer Communication
Figure 4 for Opening the Black Box of Deep Neural Networks in Physical Layer Communication
* 5 pages, 5 figures, submitted to IEEE Wireless Communications Letters 
  Access Paper or Ask Questions

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


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

Figure 1 for Generalizable Person Re-identification with Relevance-aware Mixture of Experts
Figure 2 for Generalizable Person Re-identification with Relevance-aware Mixture of Experts
Figure 3 for Generalizable Person Re-identification with Relevance-aware Mixture of Experts
Figure 4 for Generalizable Person Re-identification with Relevance-aware Mixture of Experts
* Accepted to CVPR 2021 
  Access Paper or Ask Questions

Distributed Resilient Submodular Action Selection in Adversarial Environments


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

Figure 1 for Distributed Resilient Submodular Action Selection in Adversarial Environments
Figure 2 for Distributed Resilient Submodular Action Selection in Adversarial Environments
Figure 3 for Distributed Resilient Submodular Action Selection in Adversarial Environments
Figure 4 for Distributed Resilient Submodular Action Selection in Adversarial Environments
* IEEE Robotics and Automation Letters, 2021 
  Access Paper or Ask Questions

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

Figure 1 for UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles
Figure 2 for UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles
Figure 3 for UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles
Figure 4 for UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles
* Accepted by CVPR2021 
  Access Paper or Ask Questions

Rank-One Prior: Toward Real-Time Scene Recovery


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

Figure 1 for Rank-One Prior: Toward Real-Time Scene Recovery
Figure 2 for Rank-One Prior: Toward Real-Time Scene Recovery
Figure 3 for Rank-One Prior: Toward Real-Time Scene Recovery
Figure 4 for Rank-One Prior: Toward Real-Time Scene Recovery
* 9 pages, 6 figures, 1 table, Accepted by CVPR 2021 
  Access Paper or Ask Questions

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


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

Figure 1 for TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events
Figure 2 for TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events
Figure 3 for TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events
Figure 4 for TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events
* Accepted by CVPR 2021 
  Access Paper or Ask Questions

Constrained Radar Waveform Design for Range Profiling


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

Figure 1 for Constrained Radar Waveform Design for Range Profiling
Figure 2 for Constrained Radar Waveform Design for Range Profiling
Figure 3 for Constrained Radar Waveform Design for Range Profiling
Figure 4 for Constrained Radar Waveform Design for Range Profiling

  Access Paper or Ask Questions

RL-CSDia: Representation Learning of Computer Science Diagrams


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

Figure 1 for RL-CSDia: Representation Learning of Computer Science Diagrams
Figure 2 for RL-CSDia: Representation Learning of Computer Science Diagrams
Figure 3 for RL-CSDia: Representation Learning of Computer Science Diagrams
Figure 4 for RL-CSDia: Representation Learning of Computer Science Diagrams

  Access Paper or Ask Questions

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

Figure 1 for A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning
Figure 2 for A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning
Figure 3 for A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning
Figure 4 for A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning
* To appear in Medical Image Analysis 
  Access Paper or Ask Questions

Human Action Recognition from Various Data Modalities: A Review


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

Figure 1 for Human Action Recognition from Various Data Modalities: A Review
Figure 2 for Human Action Recognition from Various Data Modalities: A Review
Figure 3 for Human Action Recognition from Various Data Modalities: A Review
Figure 4 for Human Action Recognition from Various Data Modalities: A Review

  Access Paper or Ask Questions

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

Figure 1 for Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-Identification
Figure 2 for Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-Identification
Figure 3 for Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-Identification
Figure 4 for Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-Identification
* 14 pages, 5 figures 
  Access Paper or Ask Questions

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

Figure 1 for Object Detection based on OcSaFPN in Aerial Images with Noise
Figure 2 for Object Detection based on OcSaFPN in Aerial Images with Noise
Figure 3 for Object Detection based on OcSaFPN in Aerial Images with Noise
Figure 4 for Object Detection based on OcSaFPN in Aerial Images with Noise
* 12 pages, 6 figures 
  Access Paper or Ask Questions

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

Figure 1 for XTQA: Span-Level Explanations of the Textbook Question Answering
Figure 2 for XTQA: Span-Level Explanations of the Textbook Question Answering
Figure 3 for XTQA: Span-Level Explanations of the Textbook Question Answering
Figure 4 for XTQA: Span-Level Explanations of the Textbook Question Answering
* 10 pages 
  Access Paper or Ask Questions

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

Figure 1 for Multiscale Attention Guided Network for COVID-19 Detection Using Chest X-ray Images
Figure 2 for Multiscale Attention Guided Network for COVID-19 Detection Using Chest X-ray Images
Figure 3 for Multiscale Attention Guided Network for COVID-19 Detection Using Chest X-ray Images
Figure 4 for Multiscale Attention Guided Network for COVID-19 Detection Using Chest X-ray Images

  Access Paper or Ask Questions

Skeleton-based Relational Reasoning for Group Activity Analysis


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

Figure 1 for Skeleton-based Relational Reasoning for Group Activity Analysis
Figure 2 for Skeleton-based Relational Reasoning for Group Activity Analysis
Figure 3 for Skeleton-based Relational Reasoning for Group Activity Analysis
Figure 4 for Skeleton-based Relational Reasoning for Group Activity Analysis
* 20 pages, 3 figures 
  Access Paper or Ask Questions

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

Figure 1 for Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications
Figure 2 for Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications
Figure 3 for Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications
Figure 4 for Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications

  Access Paper or Ask Questions

Exact Phase Transitions of Model RB with Slower-Growing Domains


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


  Access Paper or Ask Questions

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


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

Figure 1 for Robust Face Alignment by Multi-order High-precision Hourglass Network
Figure 2 for Robust Face Alignment by Multi-order High-precision Hourglass Network
Figure 3 for Robust Face Alignment by Multi-order High-precision Hourglass Network
Figure 4 for Robust Face Alignment by Multi-order High-precision Hourglass Network
* Accep by IEEE Transactions on Image Processing 2020.10.14 
  Access Paper or Ask Questions

Improving probability selecting based weights for Satisfiability Problem


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

Figure 1 for Improving probability selecting based weights for Satisfiability Problem
Figure 2 for Improving probability selecting based weights for Satisfiability Problem
Figure 3 for Improving probability selecting based weights for Satisfiability Problem
Figure 4 for Improving probability selecting based weights for Satisfiability Problem

  Access Paper or Ask Questions

On the Convergence of Reinforcement Learning with Monte Carlo Exploring Starts


Jul 21, 2020
Jun Liu

Figure 1 for On the Convergence of Reinforcement Learning with Monte Carlo Exploring Starts
Figure 2 for On the Convergence of Reinforcement Learning with Monte Carlo Exploring Starts
* 12 pages, 1 figure, preprint submitted for publication 
  Access Paper or Ask Questions

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

Figure 1 for Fine Timing and Frequency Synchronization for MIMO-OFDM: An Extreme Learning Approach
Figure 2 for Fine Timing and Frequency Synchronization for MIMO-OFDM: An Extreme Learning Approach
Figure 3 for Fine Timing and Frequency Synchronization for MIMO-OFDM: An Extreme Learning Approach
Figure 4 for Fine Timing and Frequency Synchronization for MIMO-OFDM: An Extreme Learning Approach
* 11 pages, 12 figures, submitted to IEEE JSAC Series on Machine Learning for Communications and Networks 
  Access Paper or Ask Questions