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2020 – today
- 2023
[j213]Qinghua Hu, Mingxuan Zhu:
Orbital stability of pseudo-peakons for the fifth-order Camassa-Holm type equation. Appl. Math. Lett. 143: 108667 (2023)- [j212]Xiaowei Li, Qinghua Hu, Gang Xu, Long Qi, Haiyan Wu, Yufei Pang:
DiagVol: Multi-block Bézier Volume Modeling from Prescribed Diagonal Surface Pairs. Comput. Aided Des. 156: 103464 (2023) - [j211]Bing Cao
, Zhiwei Bi, Qinghua Hu, Han Zhang, Nannan Wang, Xinbo Gao, Dinggang Shen:
AutoEncoder-Driven Multimodal Collaborative Learning for Medical Image Synthesis. Int. J. Comput. Vis. 131(8): 1995-2014 (2023) - [j210]Hongzhi Huang, Yu Wang, Qinghua Hu:
Building hierarchical class structures for extreme multi-class learning. Int. J. Mach. Learn. Cybern. 14(7): 2575-2590 (2023) - [j209]Dicong Wang, Qinghua Hu, Kaijun Wu:
Dual-branch network with memory for video anomaly detection. Multim. Syst. 29(1): 247-259 (2023) - [j208]Yucheng Shi, Yahong Han, Qinghua Hu, Yi Yang, Qi Tian:
Query-Efficient Black-Box Adversarial Attack With Customized Iteration and Sampling. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2226-2245 (2023) - [j207]Hongzhi Huang, Yu Wang, Qinghua Hu, Ming-Ming Cheng:
Class-Specific Semantic Reconstruction for Open Set Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4214-4228 (2023) - [j206]Qilong Wang, Zhaolin Zhang, Mingze Gao, Jiangtao Xie, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu:
Towards a Deeper Understanding of Global Covariance Pooling in Deep Learning: An Optimization Perspective. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15802-15819 (2023) - [j205]Dongmei Mo, Zhihui Lai, Jie Zhou, Qinghua Hu:
Scatter matrix decomposition for jointly sparse learning. Pattern Recognit. 140: 109485 (2023) - [j204]Yikang Wei, Liu Yang, Yahong Han, Qinghua Hu:
Multi-Source Collaborative Contrastive Learning for Decentralized Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2202-2216 (2023) - [j203]Wenyuan Zhong, Huaxiong Li, Qinghua Hu, Yang Gao, Chunlin Chen:
Multi-Level Cascade Sparse Representation Learning for Small Data Classification. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2451-2464 (2023) - [j202]Guanlin Chen, Pengfei Zhu, Bing Cao, Xing Wang, Qinghua Hu:
Cross-Drone Transformer Network for Robust Single Object Tracking. IEEE Trans. Circuits Syst. Video Technol. 33(9): 4552-4563 (2023) - [j201]Jing Li, Liu Yang, Qilong Wang, Qinghua Hu:
WDAN: A Weighted Discriminative Adversarial Network With Dual Classifiers for Fine-Grained Open-Set Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 33(9): 5133-5147 (2023) - [j200]Guosong Jiang, Pengfei Zhu, Yu Wang, Qinghua Hu:
OpenMix+: Revisiting Data Augmentation for Open Set Recognition. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6777-6787 (2023) - [j199]Zhen Wang, Shuo Jin, Linhao Li, Yongfeng Dong, Qinghua Hu:
Meta-Probability Weighting for Improving Reliability of DNNs to Label Noise. IEEE J. Biomed. Health Informatics 27(4): 1726-1734 (2023) - [j198]Yaojin Lin, Haoyang Liu, Hong Zhao, Qinghua Hu, Xingquan Zhu, Xindong Wu:
Hierarchical Feature Selection Based on Label Distribution Learning. IEEE Trans. Knowl. Data Eng. 35(6): 5964-5976 (2023) - [j197]Huitong Chen, Yu Wang, Qinghua Hu:
Multi-Granularity Regularized Re-Balancing for Class Incremental Learning. IEEE Trans. Knowl. Data Eng. 35(7): 7263-7277 (2023) - [j196]Zhihao Liu, Yuanyuan Shang, Timing Li, Guanlin Chen, Yu Wang, Qinghua Hu, Pengfei Zhu:
Robust Multi-Drone Multi-Target Tracking to Resolve Target Occlusion: A Benchmark. IEEE Trans. Multim. 25: 1462-1476 (2023) - [j195]Pengfei Zhu, Xinjie Yao, Yu Wang, Meng Cao, Binyuan Hui, Shuai Zhao, Qinghua Hu:
Latent Heterogeneous Graph Network for Incomplete Multi-View Learning. IEEE Trans. Multim. 25: 3033-3045 (2023) - [j194]Qing Li, Changqing Zhang, Qinghua Hu, Huazhu Fu, Pengfei Zhu:
Confidence-Aware Fusion Using Dempster-Shafer Theory for Multispectral Pedestrian Detection. IEEE Trans. Multim. 25: 3420-3431 (2023) - [j193]Yu Wang, Ruonan Liu, Di Lin, Dongyue Chen, Ping Li, Qinghua Hu, C. L. Philip Chen:
Coarse-to-Fine: Progressive Knowledge Transfer-Based Multitask Convolutional Neural Network for Intelligent Large-Scale Fault Diagnosis. IEEE Trans. Neural Networks Learn. Syst. 34(2): 761-774 (2023) - [j192]Dongyue Chen, Ruonan Liu, Qinghua Hu, Steven X. Ding:
Interaction-Aware Graph Neural Networks for Fault Diagnosis of Complex Industrial Processes. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6015-6028 (2023) - [j191]Hang Zhang, Yajun Yang, Xin Wang, Hong Gao, Qinghua Hu:
MLI: A Multi-level Inference Mechanism for User Attributes in Social Networks. ACM Trans. Inf. Syst. 41(2): 39:1-39:30 (2023) - [c144]Mengyao Xie, Zongbo Han, Changqing Zhang, Yichen Bai, Qinghua Hu:
Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification. CVPR 2023: 19873-19882 - [c143]Zixuan Qin, Liu Yang, Qilong Wang, Yahong Han, Qinghua Hu:
Reliable and Interpretable Personalized Federated Learning. CVPR 2023: 20422-20431 - [c142]Tianbao Wang, Yajun Yang, Hong Gao, Qinghua Hu:
MRSCN: A GNN-based Model for Mining Relationship Strength Changes Between Nodes in Dynamic Networks. DASFAA (3) 2023: 172-182 - [c141]Ziwei Wang, Yunfeng Zhao, Chao Qiu, Qiang He, Xin Wang, Xiaofei Wang, Qinghua Hu:
SocialEdge: Socialized Learning-Based Request Scheduling for Edge-Cloud Systems. ICDCS 2023: 853-863 - [c140]Jing Li, Liu Yang, Qilong Wang, Qinghua Hu:
Coarse Helps Fine: A Multi-Granularity Discriminative Adversarial Network for Fine-Grained Open-Set Domain Adaptation. ICME 2023: 2675-2680 - [c139]Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
Calibrating Multimodal Learning. ICML 2023: 23429-23450 - [c138]Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng:
Provable Dynamic Fusion for Low-Quality Multimodal Data. ICML 2023: 41753-41769 - [i47]Yiming Sun, Bing Cao, Pengfei Zhu, Qinghua Hu:
MoE-Fusion: Instance Embedded Mixture-of-Experts for Infrared and Visible Image Fusion. CoRR abs/2302.01392 (2023) - [i46]Huan Ma, Changqing Zhang, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Huazhu Fu, Qinghua Hu, Bingzhe Wu:
Fairness-guided Few-shot Prompting for Large Language Models. CoRR abs/2303.13217 (2023) - [i45]Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Qinghua Hu, Bingzhe Wu, Changqing Zhang, Jianhua Yao:
Reweighted Mixup for Subpopulation Shift. CoRR abs/2304.04148 (2023) - [i44]Mengyao Xie, Zongbo Han, Changqing Zhang, Yichen Bai, Qinghua Hu:
Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification. CoRR abs/2304.05165 (2023) - [i43]Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
Calibrating Multimodal Learning. CoRR abs/2306.01265 (2023) - [i42]Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng:
Provable Dynamic Fusion for Low-Quality Multimodal Data. CoRR abs/2306.02050 (2023) - [i41]Mingze Gao, Qilong Wang, Zhenyi Lin, Pengfei Zhu, Qinghua Hu, Jingbo Zhou:
Tuning Pre-trained Model via Moment Probing. CoRR abs/2307.11342 (2023) - [i40]Zongbo Han, Tianchi Xie, Bingzhe Wu, Qinghua Hu, Changqing Zhang:
Semantic Equivariant Mixup. CoRR abs/2308.06451 (2023) - [i39]Yichen Bai, Zongbo Han, Changqing Zhang, Bing Cao, Xiaoheng Jiang, Qinghua Hu:
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection. CoRR abs/2311.15243 (2023) - 2022
- [j190]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) - [j189]Pengfei Zhu, Wanying Zhang, Yu Wang, Qinghua Hu:
Multi-granularity Inter-class Correlation Based Contrastive Learning for Open Set Recognition. Int. J. Softw. Informatics 12(2): 157-175 (2022) - [j188]Yu Wang, Qinghua Hu, Hao Chen, Yuhua Qian:
Uncertainty instructed multi-granularity decision for large-scale hierarchical classification. Inf. Sci. 586: 644-661 (2022) - [j187]Qinghua Hu, Jusheng Mi, Degang Chen:
Granular computing based machine learning in the era of big data. Inf. Sci. 591: 422-423 (2022) - [j186]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) - [j185]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) - [j184]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) - [j183]Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Heng Fan, Qinghua Hu, Haibin Ling:
Detection and Tracking Meet Drones Challenge. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7380-7399 (2022) - [j182]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) - [j181]Bing Cao, Nannan Wang, Jie Li, Qinghua Hu, Xinbo Gao:
Face photo-sketch synthesis via full-scale identity supervision. Pattern Recognit. 124: 108446 (2022) - [j180]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) - [j179]Yiming Sun, Bing Cao, Pengfei Zhu, Qinghua Hu:
Drone-Based RGB-Infrared Cross-Modality Vehicle Detection Via Uncertainty-Aware Learning. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6700-6713 (2022) - [j178]Qinghua Hu, Yucong Gao, Bing Cao:
Curiosity-Driven Class-Incremental Learning via Adaptive Sample Selection. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8660-8673 (2022) - [j177]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) - [j176]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) - [j175]Jianqing Liang, Pengfei Zhu, Chuangyin Dang, Qinghua Hu:
Semisupervised Laplace-Regularized Multimodality Metric Learning. IEEE Trans. Cybern. 52(5): 2955-2967 (2022) - [j174]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) - [j173]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) - [j172]Yu Wang, Zhou Wang, Qinghua Hu, Yucan Zhou, Honglei Su:
Hierarchical Semantic Risk Minimization for Large-Scale Classification. IEEE Trans. Cybern. 52(9): 9546-9558 (2022) - [j171]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) - [j170]Pengfei Zhu, Yiming Sun, Bing Cao, Xiaoyu Liu, Xin Liu, Qinghua Hu:
Self-Supervised Fully Automatic Learning Machine for Intelligent Retail Container. IEEE Trans. Instrum. Meas. 71: 1-15 (2022) - [j169]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) - [j168]Zhiwei Bi, Bing Cao, Wangmeng Zuo, Qinghua Hu:
Learning a Prototype Discriminator With RBF for Multimodal Image Synthesis. IEEE Trans. Image Process. 31: 6664-6678 (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) - [c137]Zhuohang Wang, Yunfeng Zhao, Yong Wang, Li Yan, Zhicheng Liu, Chao Qiu, Xiaofei Wang, Qinghua Hu:
Lightweight Model Inference on Resource-Constrained Computing Nodes in Intelligent Surveillance Systems. APWeb/WAIM (1) 2022: 209-223 - [c136]Bingxu Lu, Qinghua Hu, Yu Wang, Guosheng Hu:
RCANet: Row-Column Attention Network for Semantic Segmentation. ICASSP 2022: 2604-2608 - [c135]Shangxuan Cai, Yunfeng Zhao, Zhicheng Liu, Chao Qiu, Xiaofei Wang, Qinghua Hu:
Multi-granularity Weighted Federated Learning in Heterogeneous Mobile Edge Computing Systems. ICDCS 2022: 436-446 - [c134]Benyu Dong, Chung-Ming Own, Qinghua Hu:
Domain Generalization via Maximum Intra-class Average Diameter Minimization. IJCNN 2022: 1-8 - [c133]Yiming Sun, Bing Cao, Pengfei Zhu, Qinghua Hu:
DetFusion: A Detection-driven Infrared and Visible Image Fusion Network. ACM Multimedia 2022: 4003-4011 - [c132]Qilong Wang, Mingze Gao, Zhaolin Zhang, Jiangtao Xie, Peihua Li, Qinghua Hu:
DropCov: A Simple yet Effective Method for Improving Deep Architectures. NeurIPS 2022 - [c131]Jing Li, Liu Yang, Qinghua Hu:
Self-Supervised Vision Transformer Based Nearest Neighbor Classification for Multi-Source Open-Set Domain Adaptation. PRICAI (3) 2022: 542-554 - [c130]Pengfei Li, Yunfeng Zhao, Liandong Chen, Kai Cheng, Chuyue Xie, Xiaofei Wang, Qinghua Hu:
Uncertainty Measured Active Client Selection for Federated Learning in Smart Grid. SmartIoT 2022: 148-153 - [i38]Yu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu:
Uncertainty-Aware Multi-View Representation Learning. CoRR abs/2201.05776 (2022) - [i37]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) - [i36]Ruize Han, Wei Feng, Qing Guo, Qinghua Hu:
Single Object Tracking Research: A Survey. CoRR abs/2204.11410 (2022) - [i35]Huitong Chen, Yu Wang, Qinghua Hu:
Multi-Granularity Regularized Re-Balancing for Class Incremental Learning. CoRR abs/2206.15189 (2022) - [i34]Hongzhi Huang, Yu Wang, Qinghua Hu, Ming-Ming Cheng:
Class-Specific Semantic Reconstruction for Open Set Recognition. CoRR abs/2207.02158 (2022) - [i33]Pengfei Zhu, Xinjie Yao, Yu Wang, Meng Cao, Binyuan Hui, Shuai Zhao, Qinghua Hu:
Latent Heterogeneous Graph Network for Incomplete Multi-View Learning. CoRR abs/2208.13669 (2022) - [i32]Qinghe Wang, Lijie Liu, Miao Hua, Qian He, Pengfei Zhu, Bing Cao, Qinghua Hu:
HS-Diffusion: Learning a Semantic-Guided Diffusion Model for Head Swapping. CoRR abs/2212.06458 (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]