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Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark


May 06, 2021
Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu

* Accpted to CVPR 2021. Dataset and codes can be found in https://github.com/VisDrone/DroneCrowd. arXiv admin note: text overlap with arXiv:1912.01811 

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Learning Class-Agnostic Pseudo Mask Generation for Box-Supervised Semantic Segmentation


Mar 09, 2021
Chaohao Xie, Dongwei Ren, Lei Wang, Qinghua Hu, Liang Lin, Wangmeng Zuo

* 14 pages, 7 figures 

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Deep Partial Multi-View Learning


Nov 12, 2020
Changqing Zhang, Yajie Cui, Zongbo Han, Joey Tianyi Zhou, Huazhu Fu, Qinghua Hu


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SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning


Aug 16, 2020
Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu


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Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification


Jul 13, 2020
Yucan Zhou, Yu Wang, Jianfei Cai, Yu Zhou, Qinghua Hu, Weiping Wang

* 9 pages, 6 figures 

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Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation


May 08, 2020
Zhaohui Zheng, Ping Wang, Dongwei Ren, Wei Liu, Rongguang Ye, Qinghua Hu, Wangmeng Zuo

* All the source code and trained models are available at https://github.com/Zzh-tju/CIoU arXiv admin note: text overlap with arXiv:1911.08287 

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What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective


Mar 25, 2020
Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu

* Accepted to CVPR 2020; Project Page: https://github.com/ZhangLi-CS/GCP_Optimization 

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Multi-Drone based Single Object Tracking with Agent Sharing Network


Mar 16, 2020
Pengfei Zhu, Jiayu Zheng, Dawei Du, Longyin Wen, Yiming Sun, Qinghua Hu


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Drone Based RGBT Vehicle Detection and Counting: A Challenge


Mar 05, 2020
Pengfei Zhu, Yiming Sun, Longyin Wen, Yu Feng, Qinghua Hu


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Vision Meets Drones: Past, Present and Future


Jan 16, 2020
Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Qinghua Hu, Haibin Ling

* arXiv admin note: text overlap with arXiv:1804.07437 

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Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network


Dec 04, 2019
Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu


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ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks


Oct 08, 2019
Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu

* Project Page: https://github.com/BangguWu/ECANet 

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Neural Blind Deconvolution Using Deep Priors


Aug 06, 2019
Dongwei Ren, Kai Zhang, Qilong Wang, Qinghua Hu, Wangmeng Zuo

* The source code is available at https://github.com/csdwren/SelfDeblur, and the supplementary file is at https://csdwren.github.io/papers/SelfDeblur_supp.pdf 

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Multi-view Deep Subspace Clustering Networks


Aug 06, 2019
Pengfei Zhu, Binyuan Hui, Changqing Zhang, Dawei Du, Longyin Wen, Qinghua Hu

* Submitted to the IEEE Transactions on Image Processing (TIP) 

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Progressive Image Deraining Networks: A Better and Simpler Baseline


Jan 26, 2019
Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, Deyu Meng

* The codes, pre-trained models and results are available at https://github.com/csdwren/PReNet 

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Semi-interactive Attention Network for Answer Understanding in Reverse-QA


Jan 12, 2019
Qing Yin, Guan Luo, Xiaodong Zhu, Qinghua Hu, Ou Wu


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Unsupervised Degradation Learning for Single Image Super-Resolution


Dec 13, 2018
Tianyu Zhao, Wenqi Ren, Changqing Zhang, Dongwei Ren, Qinghua Hu

* 9 pages, 9 figures 

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Detecting Adversarial Examples via Key-based Network


Jun 02, 2018
Pinlong Zhao, Zhouyu Fu, Ou wu, Qinghua Hu, Jun Wang

* 6 pages 

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Vision Meets Drones: A Challenge


Apr 23, 2018
Pengfei Zhu, Longyin Wen, Xiao Bian, Haibin Ling, Qinghua Hu

* 11 pages, 11 figures 

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Efficient Background Modeling Based on Sparse Representation and Outlier Iterative Removal


Jan 05, 2016
Linhao Li, Ping Wang, Qinghua Hu, Sijia Cai

* 12pages, 10figures 

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Feature selection with test cost constraint


Sep 25, 2012
Fan Min, Qinghua Hu, William Zhu

* 23 pages 

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