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2020 – today
- 2022
[j183]Junwen Pan, Pengfei Zhu, Kaihua Zhang, Bing Cao, Yu Wang, Dingwen Zhang, Junwei Han, Qinghua Hu:
Learning Self-supervised Low-Rank Network for Single-Stage Weakly and Semi-supervised Semantic Segmentation. Int. J. Comput. Vis. 130(5): 1181-1195 (2022)- [j182]Yu Wang, Qinghua Hu, Hao Chen, Yuhua Qian:
Uncertainty instructed multi-granularity decision for large-scale hierarchical classification. Inf. Sci. 586: 644-661 (2022) - [j181]Qinghua Hu
, Jusheng Mi, Degang Chen:
Granular computing based machine learning in the era of big data. Inf. Sci. 591: 422-423 (2022) - [j180]Shuang An, Qinghua Hu, Changzhong Wang, Ge Guo, Piyu Li:
Data reduction based on NN-kNN measure for NN classification and regression. Int. J. Mach. Learn. Cybern. 13(3): 765-781 (2022) - [j179]Chao Qiu, Haotian Qi, Zhicheng Liu, Xiaofei Wang, Jing Jiang, Qinghua Hu:
Credible Internet of Intelligence Toward Future Multidimensional Connection. IEEE Netw. 36(3): 106-113 (2022) - [j178]Changqing Zhang, Yajie Cui, Zongbo Han, Joey Tianyi Zhou, Huazhu Fu, Qinghua Hu:
Deep Partial Multi-View Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2402-2415 (2022) - [j177]Hao Chen, Ruonan Liu, Zongxia Xie, Qinghua Hu, Jianhua Dai, Junhai Zhai:
Majorities help minorities: Hierarchical structure guided transfer learning for few-shot fault recognition. Pattern Recognit. 123: 108383 (2022) - [j176]Bing Cao, Nannan Wang, Jie Li, Qinghua Hu, Xinbo Gao:
Face photo-sketch synthesis via full-scale identity supervision. Pattern Recognit. 124: 108446 (2022) - [j175]Yu Zhou, Xiaoni Li, Yucan Zhou, Yu Wang, Qinghua Hu, Weiping Wang:
Deep collaborative multi-task network: A human decision process inspired model for hierarchical image classification. Pattern Recognit. 124: 108449 (2022) - [j174]Liu Yang, Maoying Li, Chenyang Shen, Qinghua Hu, Jia Wen, Shujie Xu:
Discriminative Transfer Learning for Driving Pattern Recognition in Unlabeled Scenes. IEEE Trans. Cybern. 52(3): 1429-1442 (2022) - [j173]Zheng Wang, Ziqi Zhou, Huchuan Lu, Qinghua Hu, Jianmin Jiang:
Video Saliency Prediction via Joint Discrimination and Local Consistency. IEEE Trans. Cybern. 52(3): 1490-1501 (2022) - [j172]Jianqing Liang, Pengfei Zhu, Chuangyin Dang, Qinghua Hu:
Semisupervised Laplace-Regularized Multimodality Metric Learning. IEEE Trans. Cybern. 52(5): 2955-2967 (2022) - [j171]Junbing Li, Changqing Zhang, Joey Tianyi Zhou, Huazhu Fu, Shuyin Xia, Qinghua Hu:
Deep-LIFT: Deep Label-Specific Feature Learning for Image Annotation. IEEE Trans. Cybern. 52(8): 7732-7741 (2022) - [j170]Zhaohui Zheng, Ping Wang, Dongwei Ren, Wei Liu, Rongguang Ye, Qinghua Hu, Wangmeng Zuo:
Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation. IEEE Trans. Cybern. 52(8): 8574-8586 (2022) - [j169]Yidan Hu, Ruonan Liu, Xianling Li, Dongyue Chen, Qinghua Hu:
Task-Sequencing Meta Learning for Intelligent Few-Shot Fault Diagnosis With Limited Data. IEEE Trans. Ind. Informatics 18(6): 3894-3904 (2022) - [j168]Hao Wang, Qilong Wang, Hongzhi Zhang, Qinghua Hu, Wangmeng Zuo:
CrabNet: Fully Task-Specific Feature Learning for One-Stage Object Detection. IEEE Trans. Image Process. 31: 2962-2974 (2022) - [j167]Yaojin Lin, Qinghua Hu, Jinghua Liu, Xingquan Zhu, Xindong Wu:
MULFE: Multi-Label Learning via Label-Specific Feature Space Ensemble. ACM Trans. Knowl. Discov. Data 16(1): 5:1-5:24 (2022) - [c130]Bingxu Lu, Qinghua Hu, Yu Wang, Guosheng Hu:
RCANet: Row-Column Attention Network for Semantic Segmentation. ICASSP 2022: 2604-2608 - [i36]Yu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu:
Uncertainty-Aware Multi-View Representation Learning. CoRR abs/2201.05776 (2022) - [i35]Junwen Pan, Pengfei Zhu, Kaihua Zhang, Bing Cao, Yu Wang, Dingwen Zhang, Junwei Han, Qinghua Hu:
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation. CoRR abs/2203.10278 (2022) - [i34]Ruize Han, Wei Feng, Qing Guo, Qinghua Hu:
Single Object Tracking Research: A Survey. CoRR abs/2204.11410 (2022) - [i33]Huitong Chen, Yu Wang, Qinghua Hu:
Multi-Granularity Regularized Re-Balancing for Class Incremental Learning. CoRR abs/2206.15189 (2022) - [i32]Hongzhi Huang, Yu Wang, Qinghua Hu, Ming-Ming Cheng:
Class-Specific Semantic Reconstruction for Open Set Recognition. CoRR abs/2207.02158 (2022) - 2021
- [j166]Shuang An, Qinghua Hu, Changzhong Wang:
Probability granular distance-based fuzzy rough set model. Appl. Soft Comput. 102: 107064 (2021) - [j165]Qinghua Hu, Wen-Sheng Zhao, Kai Fu, Da-Wei Wang, Gaofeng Wang:
On the applicability of two-bit carbon nanotube through-silicon via for power distribution networks in 3-D integrated circuits. IET Circuits Devices Syst. 15(1): 20-26 (2021) - [j164]Shuyu Liu, Liu Yang, Qinghua Hu:
Unsupervised Heterogeneous Transfer Learning for Partial Co-occurrence Data. Int. J. Artif. Intell. Tools 30(3): 2150012:1-2150012:24 (2021) - [j163]Xiaojie Yin, Qinghua Hu, Gerald Schaefer:
Open set recognition through Monte Carlo dropout-based uncertainty. Int. J. Bio Inspired Comput. 18(4): 210-220 (2021) - [j162]Haijuan Fu, Yu Geng, Changqing Zhang, Zechao Li, Qinghua Hu:
RED-Nets: Redistribution Networks for Multi-View Classification. Inf. Fusion 65: 119-127 (2021) - [j161]Kai Wang, Shichao Dong, Nian Liu, Junhui Yang, Tao Li, Qinghua Hu:
PA-Net: Learning local features using by pose attention for short-term person re-identification. Inf. Sci. 565: 196-209 (2021) - [j160]Mohammed Al-taezi, Pengfei Zhu, Qinghua Hu, Yu Wang, Abdulrahman Al-Badwi:
Self-paced hierarchical metric learning (SPHML). Int. J. Mach. Learn. Cybern. 12(9): 2529-2541 (2021) - [j159]Jianglin Lu, Hailing Wang, Jie Zhou, Yudong Chen, Zhihui Lai, Qinghua Hu:
Low-rank adaptive graph embedding for unsupervised feature extraction. Pattern Recognit. 113: 107758 (2021) - [j158]Pengfei Zhu, Jiayu Zheng, Dawei Du, Longyin Wen, Yiming Sun, Qinghua Hu:
Multi-Drone-Based Single Object Tracking With Agent Sharing Network. IEEE Trans. Circuits Syst. Video Technol. 31(10): 4058-4070 (2021) - [j157]Zhi-gang Su, Qinghua Hu, Thierry Denoeux:
A Distributed Rough Evidential K-NN Classifier: Integrating Feature Reduction and Classification. IEEE Trans. Fuzzy Syst. 29(8): 2322-2335 (2021) - [j156]Fei Wang, Ruonan Liu, Qinghua Hu, Xuefeng Chen:
Cascade Convolutional Neural Network With Progressive Optimization for Motor Fault Diagnosis Under Nonstationary Conditions. IEEE Trans. Ind. Informatics 17(4): 2511-2521 (2021) - [j155]Linhao Li, Zhen Wang, Qinghua Hu, Yongfeng Dong:
Adaptive Nonconvex Sparsity Based Background Subtraction for Intelligent Video Surveillance. IEEE Trans. Ind. Informatics 17(6): 4168-4178 (2021) - [j154]Pengfei Zhu, Tao Peng, Dawei Du, Hongtao Yu, Libo Zhang, Qinghua Hu:
Graph Regularized Flow Attention Network for Video Animal Counting From Drones. IEEE Trans. Image Process. 30: 5339-5351 (2021) - [j153]Hong Zhao, Qinghua Hu, Pengfei Zhu, Yu Wang, Ping Wang:
A Recursive Regularization Based Feature Selection Framework for Hierarchical Classification. IEEE Trans. Knowl. Data Eng. 33(7): 2833-2846 (2021) - [j152]Yunfeng Zhao, Zhicheng Liu, Chao Qiu, Xiuhua Li, Xiaofei Wang, Qinghua Hu:
Socialized Learning for Smart Cities: Cognitive Paradigm, Methodology, and Solution. IEEE Wirel. Commun. 28(5): 200-208 (2021) - [c129]Yu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu:
Uncertainty-Aware Multi-View Representation Learning. AAAI 2021: 7545-7553 - [c128]Zhibin Wan, Changqing Zhang, Pengfei Zhu, Qinghua Hu:
Multi-View Information-Bottleneck Representation Learning. AAAI 2021: 10085-10092 - [c127]Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu:
Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark. CVPR 2021: 7812-7821 - [c126]Hang Zhang, Yajun Yang, Xin Wang, Hong Gao, Qinghua Hu, Dan Yin:
A Multilevel Inference Mechanism for User Attributes over Social Networks. DASFAA (2) 2021: 710-718 - [c125]Shangxuan Cai, Yunfeng Zhao, Zhicheng Liu, Chao Qiu, Xiaofei Wang, Qinghua Hu:
MGFL: Multi-granularity Federated Learning in Edge Computing Systems. ICA3PP (1) 2021: 549-563 - [c124]Ruihuang Li, Xu Jia, Jianzhong He, Shuaijun Chen, Qinghua Hu:
T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation. ICCV 2021: 9971-9980 - [c123]Zhihao Liu, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Junwen Pan, Baoqun Yin, Binyu Zhang, Chengxin Liu, Ding Ding, Dingkang Liang, Guanchen Ding, Hao Lu, Hui Lin, Jingyuan Chen, Jiong Li, Liang Liu, Lin Zhou, Min Shi, Qianqian Yang, Qing He, Sifan Peng, Wei Xu, Wenwei Han, Xiang Bai, Xiwu Chen, Yabin Wang, Yinfeng Xia, Yiran Tao, Zhenzhong Chen, Zhiguo Cao:
VisDrone-CC2021: The Vision Meets Drone Crowd Counting Challenge Results. ICCVW 2021: 2830-2838 - [c122]Guanlin Chen, Wenguan Wang, Zhijian He, Lujia Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven Chu-Hong Hoi, Qinghua Hu, Ming Liu, Andrea Sciarrone, Chao Sun, Chiara Garibotto, Duong Nguyen-Ngoc Tran, Fabio Lavagetto, Halar Haleem, Hakki Motorcu, Hasan F. Ates, Huy-Hung Nguyen, Hyung-Joon Jeon, Igor Bisio, Jae Wook Jeon, Jiahao Li, Long Hoang Pham, Moongu Jeon, Qianyu Feng, Shengwen Li, Tai Huu-Phuong Tran, Xiao Pan, Young-Min Song, Yuehan Yao, Yunhao Du, Zhenyu Xu, Zhipeng Luo:
VisDrone-MOT2021: The Vision Meets Drone Multiple Object Tracking Challenge Results. ICCVW 2021: 2839-2846 - [c121]Yaru Cao, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Chong Cheng, Fanfan Liu, Guojin Cao, Guozhen Li, Hongkai Wang, Jianye He, Junfeng Wan, Qi Wan, Qi Zhao, Shuchang Lyu, Wenzhe Zhao, Xiaoqiang Lu, Xingkui Zhu, Yingjie Liu, Yixuan Lv, Yujing Ma, Yuting Yang, Zhe Wang, Zhenyu Xu, Zhipeng Luo, Zhimin Zhang, Zhiguang Zhang, Zihao Li, Zixiao Zhang:
VisDrone-DET2021: The Vision Meets Drone Object detection Challenge Results. ICCVW 2021: 2847-2854 - [c120]Zhibin Wan, Changqing Zhang, Yu Geng, Huazhu Fu, Xi Peng, Pengfei Zhu, Qinghua Hu:
Cross-View Equivariant Auto-Encoder. ICME 2021: 1-6 - [c119]Huan Ma, Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions. NeurIPS 2021: 6881-6893 - [c118]Zilin Gao, Qilong Wang, Bingbing Zhang, Qinghua Hu, Peihua Li:
Temporal-attentive Covariance Pooling Networks for Video Recognition. NeurIPS 2021: 13587-13598 - [i31]Chaohao Xie, Dongwei Ren, Lei Wang, Qinghua Hu, Liang Lin, Wangmeng Zuo:
Learning Class-Agnostic Pseudo Mask Generation for Box-Supervised Semantic Segmentation. CoRR abs/2103.05463 (2021) - [i30]Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu:
Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark. CoRR abs/2105.02440 (2021) - [i29]Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Ali Al-Ali, Amr Mohamed, Bakour Imene, Bin Dong, Binyu Zhang, Bouchali Hadia Nesma, Chenfeng Xu, Chenzhen Duan, Ciro Castiello, Corrado Mencar, Dingkang Liang, Florian Krüger, Gennaro Vessio, Giovanna Castellano, Jieru Wang, Junyu Gao, Khalid Abualsaud, Laihui Ding, Lei Zhao, Marco Cianciotta, Muhammad Saqib, Noor Almaadeed, Omar Elharrouss, Pei Lyu, Qi Wang, Shidong Liu, Shuang Qiu, Siyang Pan, Somaya Al-Máadeed, Sultan Daud Khan, Tamer Khattab, Tao Han, Thomas Golda, Wei Xu, Xiang Bai, Xiaoqing Xu, Xuelong Li, Yanyun Zhao, Ye Tian, Yingnan Lin, Yongchao Xu, Yuehan Yao, Zhenyu Xu, Zhijian Zhao, Zhipeng Luo, Zhiwei Wei, Zhiyuan Zhao:
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. CoRR abs/2107.08766 (2021) - [i28]Ruihuang Li, Xu Jia, Jianzhong He, Shuaijun Chen, Qinghua Hu:
T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation. CoRR abs/2107.14447 (2021) - [i27]Zilin Gao, Qilong Wang, Bingbing Zhang, Qinghua Hu, Peihua Li:
Temporal-attentive Covariance Pooling Networks for Video Recognition. CoRR abs/2110.14381 (2021) - [i26]Huan Ma, Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions. CoRR abs/2111.08456 (2021) - [i25]Pengfei Zhu, Hongtao Yu, Kaihua Zhang, Yu Wang, Shuai Zhao, Lei Wang, Tianzhu Zhang, Qinghua Hu:
Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking. CoRR abs/2111.11625 (2021) - [i24]Linhao Li, Ming Xu, Yongfeng Dong, Xin Li, Ao Wang, Qinghua Hu:
Interactive Model with Structural Loss for Language-based Abductive Reasoning. CoRR abs/2112.00284 (2021) - 2020
- [j151]Linhao Li, Qinghua Hu:
Optimized high order product quantization for approximate nearest neighbors search. Frontiers Comput. Sci. 14(2): 259-272 (2020) - [j150]Yanan Zhang, Qinghua Hu, Zhaopeng Meng, Anca L. Ralescu:
Fuzzy dynamic timetable scheduling for public transit. Fuzzy Sets Syst. 395: 235-253 (2020) - [j149]Changqing Zhang, Huazhu Fu, Jing Wang, Wen Li, Xiaochun Cao, Qinghua Hu:
Tensorized Multi-view Subspace Representation Learning. Int. J. Comput. Vis. 128(8): 2344-2361 (2020) - [j148]Yingtao Lei, Weiwei Du, Qinghua Hu:
Face sketch-to-photo transformation with multi-scale self-attention GAN. Neurocomputing 396: 13-23 (2020) - [j147]Shili Peng, Qinghua Hu, Jianwu Dang, Wenwu Wang:
Optimal feasible step-size based working set selection for large scale SVMs training. Neurocomputing 407: 366-375 (2020) - [j146]Dong Li, Linhao Li, Xianling Li, Zhiwu Ke, Qinghua Hu:
Smoothed LSTM-AE: A spatio-temporal deep model for multiple time-series missing imputation. Neurocomputing 411: 351-363 (2020) - [j145]Xue Zhang, Zheng Wang, Qinghua Hu, Jinchang Ren, Meijun Sun:
Boundary-aware High-resolution Network with region enhancement for salient object detection. Neurocomputing 418: 91-101 (2020) - [j144]Changqing Zhang, Huazhu Fu, Qinghua Hu, Xiaochun Cao, Yuan Xie, Dacheng Tao, Dong Xu:
Generalized Latent Multi-View Subspace Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 86-99 (2020) - [j143]Aming Wu, Yahong Han, Yi Yang, Qinghua Hu, Fei Wu:
Convolutional Reconstruction-to-Sequence for Video Captioning. IEEE Trans. Circuits Syst. Video Technol. 30(11): 4299-4308 (2020) - [j142]Changqing Zhang, Ziwei Yu, Huazhu Fu, Pengfei Zhu, Lei Chen, Qinghua Hu:
Hybrid Noise-Oriented Multilabel Learning. IEEE Trans. Cybern. 50(6): 2837-2850 (2020) - [j141]Changzhong Wang, Yang Huang, Mingwen Shao, Qinghua Hu, Degang Chen:
Feature Selection Based on Neighborhood Self-Information. IEEE Trans. Cybern. 50(9): 4031-4042 (2020) - [j140]Yu Wang, Qinghua Hu, Pengfei Zhu, Linhao Li, Bingxu Lu, Jonathan M. Garibaldi, Xianling Li:
Deep Fuzzy Tree for Large-Scale Hierarchical Visual Classification. IEEE Trans. Fuzzy Syst. 28(7): 1395-1406 (2020) - [j139]Liu Yang, Chenyang Shen, Qinghua Hu, Liping Jing, Yingbo Li:
Adaptive Sample-Level Graph Combination for Partial Multiview Clustering. IEEE Trans. Image Process. 29: 2780-2794 (2020) - [j138]Dongwei Ren, Wei Shang, Pengfei Zhu, Qinghua Hu, Deyu Meng, Wangmeng Zuo:
Single Image Deraining Using Bilateral Recurrent Network. IEEE Trans. Image Process. 29: 6852-6863 (2020) - [c117]Binyuan Hui, Pengfei Zhu, Qinghua Hu:
Collaborative Graph Convolutional Networks: Unsupervised Learning Meets Semi-Supervised Learning. AAAI 2020: 4215-4222 - [c116]Zian Pan, Yajun Yang, Qinghua Hu:
An Index Method for the Shortest Path Query on Vertex Subset for the Large Graphs. APWeb/WAIM (1) 2020: 69-85 - [c115]Dongwei Ren, Kai Zhang, Qilong Wang, Qinghua Hu, Wangmeng Zuo:
Neural Blind Deconvolution Using Deep Priors. CVPR 2020: 3338-3347 - [c114]Zhen Wang, Guosheng Hu, Qinghua Hu:
Training Noise-Robust Deep Neural Networks via Meta-Learning. CVPR 2020: 4523-4532 - [c113]Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu:
What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective. CVPR 2020: 10768-10777 - [c112]Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu:
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks. CVPR 2020: 11531-11539 - [c111]Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Ali Al-Ali, Amr Mohamed, Bakour Imene, Bin Dong, Binyu Zhang, Bouchali Hadia Nesma, Chenfeng Xu, Chenzhen Duan, Ciro Castiello, Corrado Mencar, Dingkang Liang, Florian Krüger, Gennaro Vessio, Giovanna Castellano, Jieru Wang, Junyu Gao, Khalid Abualsaud, Laihui Ding, Lei Zhao, Marco Cianciotta, Muhammad Saqib, Noor Almaadeed, Omar Elharrouss, Pei Lyu, Qi Wang, Shidong Liu, Shuang Qiu, Siyang Pan, Somaya Al-Máadeed, Sultan Daud Khan, Tamer Khattab, Tao Han, Thomas Golda, Wei Xu, Xiang Bai, Xiaoqing Xu, Xuelong Li, Yanyun Zhao, Ye Tian, Yingnan Lin, Yongchao Xu, Yuehan Yao, Zhenyu Xu, Zhijian Zhao, Zhipeng Luo, Zhiwei Wei, Zhiyuan Zhao:
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. ECCV Workshops (4) 2020: 675-691 - [c110]Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Apostolos Axenopoulos, Arne Schumann, Athanasios Psaltis, Ayush Jain, Bin Dong, Changlin Li, Chen Chen, Chengzhen Duan, Chongyang Zhang, Daniel Stadler, Dheeraj Reddy Pailla, Dong Yin, Faizan Khan, Fanman Meng, Guangyu Gao, Guosheng Zhang, Hansheng Chen, Hao Zhou, Haonian Xie, Heqian Qiu, Hongliang Li, Ioannis Athanasiadis, Jincai Cui, Jingkai Zhou, Jong Hwan Ko, Joochan Lee, Jun Yu, Jungyeop Yoo, Lars Wilko Sommer, Lu Xiong, Michael Schleiss, Ming-Hsuan Yang, Mingyu Liu, Minjian Zhang, Murari Mandal, Petros Daras, Pratik Narang, Qiong Liu, Qiu Shi, Qizhang Lin, Rohit Ramaprasad, Sai Wang, Sarvesh Mehta, Shuai Li, Shuqin Huang, Sungtae Moon, Taijin Zhao, Ting Sun, Wei Guo, Wei Tian, Weida Qin, Weiping Yu, Wenxiang Lin, Xi Zhao, Xiaogang Jia, Xin He, Xingjie Zhao, Xuanxin Liu, Yan Ding, Yan Luo, Yang Xiao, Yi Wang, Yingjie Liu, Yongwoo Kim, Yu Sun, Yuehan Yao, Yuyao Huang, Zehui Gong, Zhenyu Xu, Zhipeng Luo, Zhiguo Cao, Zhiwei Wei, Zhongjie Fan, Zichen Song, Ziming Liu:
VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results. ECCV Workshops (4) 2020: 692-712 - [c109]Heng Fan, Dawei Du, Longyin Wen, Pengfei Zhu, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Arne Schumann, Bin Dong, Daniel Stadler, Duo Xu, Filiz Bunyak, Guna Seetharaman, Guizhong Liu, V. Haritha, Hrishikesh P. S, Jie Han, Kannappan Palaniappan, Kaojin Zhu, Lars Wilko Sommer, Libo Zhang, Linu Shine, Min Yao, Noor M. Al-Shakarji, Shengwen Li, Ting Sun, Wang Sai, Wentao Yu, Xi Wu, Xiaopeng Hong, Xing Wei, Xingjie Zhao, Yanyun Zhao, Yihong Gong, Yuehan Yao, Yuhang He, Zhaoze Zhao, Zhen Xie, Zheng Yang, Zhenyu Xu, Zhipeng Luo, Zhizhao Duan:
VisDrone-MOT2020: The Vision Meets Drone Multiple Object Tracking Challenge Results. ECCV Workshops (4) 2020: 713-727 - [c108]Heng Fan, Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Haibin Ling, Mubarak Shah, Biao Wang, Bin Dong, Di Yuan, Dong Wang, Dongjie Zhou, Haoyang Sun, Hossein Ghanei-Yakhdan, Huchuan Lu, Javad Khaghani, Jinghao Zhou, Keyang Wang, Lei Pang, Lei Zhang, Li Cheng, Liting Lin, Lu Ding, Nana Fan, Peng Wang, Penghao Zhang, Ruiyan Ma, Seyed Mojtaba Marvasti-Zadeh, Shohreh Kasaei, Shuhao Chen, Simiao Lai, Tianyang Xu, Wentao He, Xiaojun Wu, Xin Hou, Xuefeng Zhu, Yanjie Gao, Yanyun Zhao, Yong Wang, Yong Xu, Yubo Sun, Yuting Yang, Yuxuan Li, Zezhou Wang, Zhenwei He, Zhenyu He, Zhipeng Luo, Zhongjian Huang, Zhongzhou Zhang, Zikai Zhang, Zitong Yi:
VisDrone-SOT2020: The Vision Meets Drone Single Object Tracking Challenge Results. ECCV Workshops (4) 2020: 728-749 - [c107]Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu:
SPL-MLL: Selecting Predictable Landmarks for Multi-label Learning. ECCV (9) 2020: 783-799 - [c106]Pengfei Zhu, Mingqi Gu, Wenbin Li, Changqing Zhang, Qinghua Hu:
Progressive Point To Set Metric Learning For Semi-Supervised Few-Shot Classification. ICIP 2020: 196-200 - [i23]Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Qinghua Hu, Haibin Ling:
Vision Meets Drones: Past, Present and Future. CoRR abs/2001.06303 (2020) - [i22]Pengfei Zhu, Yiming Sun, Longyin Wen, Yu Feng, Qinghua Hu:
Drone Based RGBT Vehicle Detection and Counting: A Challenge. CoRR abs/2003.02437 (2020) - [i21]Pengfei Zhu, Jiayu Zheng, Dawei Du, Longyin Wen, Yiming Sun, Qinghua Hu:
Multi-Drone based Single Object Tracking with Agent Sharing Network. CoRR abs/2003.06994 (2020) - [i20]Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu:
What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective. CoRR abs/2003.11241 (2020) - [i19]Yajun Yang, Hang Zhang, Hong Gao, Qinghua Hu, Xin Wang:
An Efficient Index Method for the Optimal Route Query over Multi-Cost Networks. CoRR abs/2004.12424 (2020) - [i18]Zhaohui Zheng, Ping Wang, Dongwei Ren, Wei Liu, Rongguang Ye, Qinghua Hu, Wangmeng Zuo:
Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation. CoRR abs/2005.03572 (2020) - [i17]Yucan Zhou, Yu Wang, Jianfei Cai, Yu Zhou, Qinghua Hu, Weiping Wang:
Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification. CoRR abs/2007.06240 (2020) - [i16]Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu:
SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning. CoRR abs/2008.06883 (2020) - [i15]Changqing Zhang, Yajie Cui, Zongbo Han, Joey Tianyi Zhou, Huazhu Fu, Qinghua Hu:
Deep Partial Multi-View Learning. CoRR abs/2011.06170 (2020)
2010 – 2019
- 2019
- [j137]Yajun Yang, Hanxiao Li, Junhu Wang, Qinghua Hu, Xin Wang, Muxi Leng:
A Novel Index Method for K Nearest Object Query over Time-Dependent Road Networks. Complex. 2019: 4829164:1-4829164:18 (2019) - [j136]Yajun Yang, Zhongfei Li, Xin Wang, Qinghua Hu:
Finding the Shortest Path with Vertex Constraint over Large Graphs. Complex. 2019: 8728245:1-8728245:13 (2019) - [j135]Jiqiang Chen, Qinghua Hu, Xiaoping Xue, Minghu Ha, Litao Ma, Xuchang Zhang, Zhipeng Yu:
Possibility measure based fuzzy support function machine for set-based fuzzy classifications. Inf. Sci. 483: 192-205 (2019) - [j134]Qianjuan Tuo, Hong Zhao, Qinghua Hu:
Hierarchical feature selection with subtree based graph regularization. Knowl. Based Syst. 163: 996-1008 (2019) - [j133]Zhichao Peng, Qinghua Hu, Jianwu Dang:
Multi-kernel SVM based depression recognition using social media data. Int. J. Mach. Learn. Cybern. 10(1): 43-57 (2019) - [j132]Meijun Sun, Ziqi Zhou, Qinghua Hu, Zheng Wang, Jianmin Jiang:
SG-FCN: A Motion and Memory-Based Deep Learning Model for Video Saliency Detection. IEEE Trans. Cybern. 49(8): 2900-2911 (2019) - [j131]Hong Zhao, Ping Wang, Qinghua Hu, Pengfei Zhu:
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Moving Object Detection in Video via Hierarchical Modeling and Alternating Optimization. IEEE Trans. Image Process. 28(4): 2021-2036 (2019) - [c105]Yao Tan, Liu Yang, Qinghua Hu, Zhibin Du:
Batch Mode Active Learning for Semantic Segmentation Based on Multi-Clue Sample Selection. CIKM 2019: 831-840 - [c104]Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, Deyu Meng:
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