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ORCIDPengfei Zhu 0001
Person information
- affiliation: Tianjin University, College of Intelligence and Computing, China
Other persons with the same name
- Pengfei Zhu — disambiguation page
- Pengfei Zhu 0002
![[0000-0002-1625-537X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-1625-537X")
— Sun Yat-Sen University, Guangdong, China - Pengfei Zhu 0003 — Shanghai Jiao Tong University, Shanghai, China
- Pengfei Zhu 0004 — Beijing University of Posts and Telecommunications, Beijing, China
- Pengfei Zhu 0005 — Shijiazhuang Tiedao University, Shijiazhuang, China
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2020 – today
- 2024
[j58]Yu Wang, Xinjie Yao, Pengfei Zhu, Weihao Li, Meng Cao, Qinghua Hu:
Integrated Heterogeneous Graph Attention Network for Incomplete Multi-modal Clustering. Int. J. Comput. Vis. 132(9): 3847-3866 (2024)- [j57]Peiliang Huang, Dingwen Zhang, De Cheng, Longfei Han, Pengfei Zhu, Junwei Han:
M-RRFS: A Memory-Based Robust Region Feature Synthesizer for Zero-Shot Object Detection. Int. J. Comput. Vis. 132(10): 4651-4672 (2024) - [j56]Mohammed Al-taezi, Yu Wang, Pengfei Zhu, Qinghua Hu, Abdulrahman Al-Badwi:
Improved generative adversarial network with deep metric learning for missing data imputation. Neurocomputing 570: 127062 (2024) - [j55]Qing Li, Changqing Zhang, Qinghua Hu, Pengfei Zhu, Huazhu Fu, Lei Chen:
Stabilizing Multispectral Pedestrian Detection With Evidential Hybrid Fusion. IEEE Trans. Circuits Syst. Video Technol. 34(4): 3017-3029 (2024) - [j54]Pengfei Zhu, Xinjie Yao, Yu Wang, Binyuan Hui, Dawei Du, Qinghua Hu:
Multiview Deep Subspace Clustering Networks. IEEE Trans. Cybern. 54(7): 4280-4293 (2024) - [j53]Bing Cao, Haifang Cao, Jiaxu Liu, Pengfei Zhu, Changqing Zhang, Qinghua Hu:
Autoencoder-Based Collaborative Attention GAN for Multi-Modal Image Synthesis. IEEE Trans. Multim. 26: 995-1010 (2024) - [j52]Hongtao Yu, Pengfei Zhu, Kaihua Zhang, Yu Wang, Shuai Zhao, Lei Wang, Tianzhu Zhang, Qinghua Hu:
Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5656-5670 (2024) - [j51]Bing Cao, Qinghe Wang, Pengfei Zhu, Qinghua Hu, Dongwei Ren, Wangmeng Zuo, Xinbo Gao:
Multi-View Knowledge Ensemble With Frequency Consistency for Cross-Domain Face Translation. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9728-9742 (2024) - [j50]Pengfei Zhu, Jingqing Li, Bing Cao, Qinghua Hu:
Multi-Task Credible Pseudo-Label Learning for Semi-Supervised Crowd Counting. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10394-10406 (2024) - [c85]Bing Cao, Junliang Guo, Pengfei Zhu, Qinghua Hu:
Bi-directional Adapter for Multimodal Tracking. AAAI 2024: 927-935 - [c84]Yu Wang, Junxian Mu, Pengfei Zhu, Qinghua Hu:
Exploring Diverse Representations for Open Set Recognition. AAAI 2024: 5731-5739 - [c83]Yan Fan, Yu Wang, Pengfei Zhu, Qinghua Hu:
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning. AAAI 2024: 11927-11935 - [c82]Pengfei Zhu, Qian Wang, Yu Wang, Jialu Li, Qinghua Hu:
Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering. AAAI 2024: 17184-17192 - [c81]Pengfei Zhu, Yang Sun, Bing Cao, Qinghua Hu:
Task-Customized Mixture of Adapters for General Image Fusion. CVPR 2024: 7099-7108 - [c80]Yuwei Tang, Zhenyi Lin, Qilong Wang, Pengfei Zhu, Qinghua Hu:
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning. CVPR 2024: 23323-23333 - [c79]Bing Cao, Haiyu Yao, Pengfei Zhu, Qinghua Hu:
Visible and Clear: Finding Tiny Objects in Difference Map. ECCV (17) 2024: 1-18 - [c78]Xinjie Yao, Yu Wang, Pengfei Zhu, Wanyu Lin, Jialu Li, Weihao Li, Qinghua Hu:
Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration. ICML 2024 - [c77]Yiming Sun, Bing Cao, Pengfei Zhu, Qinghua Hu:
Dynamic Brightness Adaptation for Robust Multi-modal Image Fusion. IJCAI 2024: 1317-1325 - [c76]Zhedong Zheng, Yujiao Shi, Tingyu Wang, Chen Chen, Pengfei Zhu, Richard Hartley:
The 2nd Workshop on UAVs in Multimedia: Capturing the World from a New Perspective. UAVM 2024: 1-3 - [e1]Zhedong Zheng, Yujiao Shi, Tingyu Wang, Chen Chen, Pengfei Zhu, Richard Hartley:
Proceedings of the 2nd Workshop on UAVs in Multimedia: Capturing the World from a New Perspective, UAVM 2024, Melbourne VIC, Australia, 28 October 2024- 1 November 2024. ACM 2024, ISBN 979-8-4007-1206-7 [contents] - [i33]Yu Wang, Junxian Mu, Pengfei Zhu, Qinghua Hu:
Exploring Diverse Representations for Open Set Recognition. CoRR abs/2401.06521 (2024) - [i32]Pengfei Zhu, Qian Wang, Yu Wang, Jialu Li, Qinghua Hu:
Every Node is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering. CoRR abs/2401.06595 (2024) - [i31]Pengfei Zhu, Yang Sun, Bing Cao, Qinghua Hu:
Task-Customized Mixture of Adapters for General Image Fusion. CoRR abs/2403.12494 (2024) - [i30]Yuwei Tang, Zhenyi Lin, Qilong Wang, Pengfei Zhu, Qinghua Hu:
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning. CoRR abs/2404.08958 (2024) - [i29]Wencheng Zhu, Xin Zhou, Pengfei Zhu, Yu Wang, Qinghua Hu:
CKD: Contrastive Knowledge Distillation from A Sample-wise Perspective. CoRR abs/2404.14109 (2024) - [i28]Bing Cao, Haiyu Yao, Pengfei Zhu, Qinghua Hu:
Visible and Clear: Finding Tiny Objects in Difference Map. CoRR abs/2405.11276 (2024) - [i27]Wei Shang, Dongwei Ren, Wanying Zhang, Qilong Wang, Pengfei Zhu, Wangmeng Zuo:
SelfDRSC++: Self-Supervised Learning for Dual Reversed Rolling Shutter Correction. CoRR abs/2408.11411 (2024) - [i26]Bing Cao, Xingxin Xu, Pengfei Zhu, Qilong Wang, Qinghua Hu:
Conditional Controllable Image Fusion. CoRR abs/2411.01573 (2024) - 2023
- [j49]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) - [j48]Zhe Dong, Qilong Wang, Pengfei Zhu:
Multi-head second-order pooling for graph transformer networks. Pattern Recognit. Lett. 167: 53-59 (2023) - [j47]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) - [j46]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) - [j45]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) - [j44]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) - [j43]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) - [j42]Pengfei Zhu, Jialu Li, Yu Wang, Bin Xiao, Shuai Zhao, Qinghua Hu:
Collaborative Decision-Reinforced Self-Supervision for Attributed Graph Clustering. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10851-10863 (2023) - [c75]Yi Liu, Junwen Pan, Qilong Wang, Guanlin Chen, Weiguo Nie, Yudong Zhang, Qian Gao, Qinghua Hu, Pengfei Zhu:
Weakly-Supervised Grounding for VQA with Dual Visual-Linguistic Interaction. CICAI (1) 2023: 156-169 - [c74]Mingze Gao, Qilong Wang, Zhenyi Lin, Pengfei Zhu, Qinghua Hu, Jingbo Zhou:
Tuning Pre-trained Model via Moment Probing. ICCV 2023: 11769-11779 - [c73]Bing Cao, Yiming Sun, Pengfei Zhu, Qinghua Hu:
Multi-modal Gated Mixture of Local-to-Global Experts for Dynamic Image Fusion. ICCV 2023: 23498-23507 - [i25]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) - [i24]Mingze Gao, Qilong Wang, Zhenyi Lin, Pengfei Zhu, Qinghua Hu, Jingbo Zhou:
Tuning Pre-trained Model via Moment Probing. CoRR abs/2307.11342 (2023) - [i23]Bing Cao, Junliang Guo, Pengfei Zhu, Qinghua Hu:
Bi-directional Adapter for Multi-modal Tracking. CoRR abs/2312.10611 (2023) - [i22]Yan Fan, Yu Wang, Pengfei Zhu, Qinghua Hu:
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning. CoRR abs/2312.16409 (2023) - 2022
- [j41]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) - [j40]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) - [j39]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) - [j38]Pengfei Zhu, Zhilin Zhu, Yu Wang, Jinglin Zhang, Shuai Zhao:
Multi-granularity episodic contrastive learning for few-shot learning. Pattern Recognit. 131: 108820 (2022) - [j37]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) - [j36]Xin Cui, Cong Wang, Dongwei Ren, Yunjin Chen, Pengfei Zhu:
Semi-Supervised Image Deraining Using Knowledge Distillation. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8327-8341 (2022) - [j35]Jianqing Liang, Pengfei Zhu, Chuangyin Dang, Qinghua Hu:
Semisupervised Laplace-Regularized Multimodality Metric Learning. IEEE Trans. Cybern. 52(5): 2955-2967 (2022) - [j34]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) - [j33]Xiaofeng Zhu, Shichao Zhang, Yonghua Zhu, Pengfei Zhu, Yue Gao:
Unsupervised Spectral Feature Selection With Dynamic Hyper-Graph Learning. IEEE Trans. Knowl. Data Eng. 34(6): 3016-3028 (2022) - [c72]Junwen Pan, Qi Bi, Yanzhan Yang, Pengfei Zhu, Cheng Bian:
Label-Efficient Hybrid-Supervised Learning for Medical Image Segmentation. AAAI 2022: 2026-2034 - [c71]Yiming Sun, Bing Cao, Pengfei Zhu, Qinghua Hu:
DetFusion: A Detection-driven Infrared and Visible Image Fusion Network. ACM Multimedia 2022: 4003-4011 - [i21]Junwen Pan, Qi Bi, Yanzhan Yang, Pengfei Zhu, Cheng Bian:
Label-efficient Hybrid-supervised Learning for Medical Image Segmentation. CoRR abs/2203.05956 (2022) - [i20]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) - [i19]Junwen Pan, Guanlin Chen, Yi Liu, Jiexiang Wang, Cheng Bian, Pengfei Zhu, Zhicheng Zhang:
Tell Me the Evidence? Dual Visual-Linguistic Interaction for Answer Grounding. CoRR abs/2207.05703 (2022) - [i18]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) - [i17]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
- [j32]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) - [j31]Xiawu Zheng, Yang Zhang, Sirui Hong, Huixia Li, Lang Tang, Youcheng Xiong, Jin Zhou, Yan Wang, Xiaoshuai Sun, Pengfei Zhu, Chenglin Wu, Rongrong Ji:
Evolving Fully Automated Machine Learning via Life-Long Knowledge Anchors. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 3091-3107 (2021) - [j30]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) - [j29]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) - [j28]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) - [j27]Yuxuan Shi, Zhen Wei, Hefei Ling, Ziyang Wang, Pengfei Zhu, Jialie Shen, Ping Li:
Adaptive and Robust Partition Learning for Person Retrieval With Policy Gradient. IEEE Trans. Multim. 23: 3264-3277 (2021) - [c70]Zhibin Wan, Changqing Zhang, Pengfei Zhu, Qinghua Hu:
Multi-View Information-Bottleneck Representation Learning. AAAI 2021: 10085-10092 - [c69]Binyuan Hui, Ruiying Geng, Qiyu Ren, Binhua Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Pengfei Zhu, Xiaodan Zhu:
Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing. AAAI 2021: 13116-13124 - [c68]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 - [c67]Hongtao Yu, Pengfei Zhu:
Adaptive Correlation Filters Feature Fusion Learning for Visual Tracking. ICANN (5) 2021: 652-664 - [c66]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 - [c65]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 - [c64]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 - [c63]Yongjuan Ma, Yu Wang, Pengfei Zhu, Junwen Pan, Hong Shi:
Get to the Point: Content Classification of Animated Graphics Interchange Formats with Key-Frame Attention. ICIP 2021: 409-413 - [c62]Zhibin Wan, Changqing Zhang, Yu Geng, Huazhu Fu, Xi Peng, Pengfei Zhu, Qinghua Hu:
Cross-View Equivariant Auto-Encoder. ICME 2021: 1-6 - [c61]Xin Cui, Wei Shang, Dongwei Ren, Pengfei Zhu, Yankun Gao:
Semi-supervised Single Image Deraining with Discrete Wavelet Transform. PRICAI (3) 2021: 265-278 - [i16]Binyuan Hui, Ruiying Geng, Qiyu Ren, Binhua Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Pengfei Zhu, Xiaodan Zhu:
Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing. CoRR abs/2101.01686 (2021) - [i15]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) - [i14]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) - [i13]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) - 2020
- [j26]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) - [j25]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) - [j24]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) - [c60]Binyuan Hui, Pengfei Zhu, Qinghua Hu:
Collaborative Graph Convolutional Networks: Unsupervised Learning Meets Semi-Supervised Learning. AAAI 2020: 4215-4222 - [c59]Tao Peng, Qing Li, Pengfei Zhu:
RGB-T Crowd Counting from Drone: A Benchmark and MMCCN Network. ACCV (6) 2020: 497-513 - [c58]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 - [c57]Congcong Li, Dawei Du, Libo Zhang, Longyin Wen, Tiejian Luo, Yanjun Wu, Pengfei Zhu:
Spatial Attention Pyramid Network for Unsupervised Domain Adaptation. ECCV (13) 2020: 481-497 - [c56]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 - [c55]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, Joo Chan 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 - [c54]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 - [c53]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 - [c52]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 - [c51]Jiayu Zheng, Wencheng Zhu, Pengfei Zhu:
Multi-label Quadruplet Dictionary Learning. ICANN (2) 2020: 119-131 - [c50]Wei Shang, Pengfei Zhu, Dongwei Ren, Hong Shi:
Bilateral Recurrent Network for Single Image Deraining. ICASSP 2020: 2503-2507 - [c49]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 - [c48]Tao Peng, Rong Li, Shang Li, Pengfei Zhu:
Learning from Web Data: Improving Crowd Counting via Semi-Supervised Learning. ICPR 2020: 7937-7944 - [c47]Wei Shang, Pengfei Zhu, Dongwei Ren:
Semi-supervised Learning to Remove Fences from a Single Image. PRCV (1) 2020: 79-90 - [i12]Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Qinghua Hu, Haibin Ling:
Vision Meets Drones: Past, Present and Future. CoRR abs/2001.06303 (2020) - [i11]Pengfei Zhu, Yiming Sun, Longyin Wen, Yu Feng, Qinghua Hu:
Drone Based RGBT Vehicle Detection and Counting: A Challenge. CoRR abs/2003.02437 (2020) - [i10]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) - [i9]Congcong Li, Dawei Du, Libo Zhang, Longyin Wen, Tiejian Luo, Yanjun Wu, Pengfei Zhu:
Spatial Attention Pyramid Network for Unsupervised Domain Adaptation. CoRR abs/2003.12979 (2020) - [i8]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)
2010 – 2019
- 2019
- [j23]Hong Zhao, Ping Wang, Qinghua Hu, Pengfei Zhu:
Fuzzy Rough Set Based Feature Selection for Large-Scale Hierarchical Classification. IEEE Trans. Fuzzy Syst. 27(10): 1891-1903 (2019) - [j22]Xiaofeng Zhu, Shichao Zhang, Wei He, Rongyao Hu, Cong Lei, Pengfei Zhu:
One-Step Multi-View Spectral Clustering. IEEE Trans. Knowl. Data Eng. 31(10): 2022-2034 (2019) - [c46]Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, Deyu Meng:
Progressive Image Deraining Networks: A Better and Simpler Baseline. CVPR 2019: 3937-3946 - [c45]Qilong Wang, Peihua Li, Qinghua Hu, Pengfei Zhu, Wangmeng Zuo:
Deep Global Generalized Gaussian Networks. CVPR 2019: 5080-5088 - [c44]Sijia Niu, Pengfei Zhu, Qinghua Hu, Hong Shi:
Adaptive Graph Fusion for Unsupervised Feature Selection. ICANN (2) 2019: 3-15 - [c43]Qinqin Nie, Bin Zhou, Pengfei Zhu, Qinghua Hu, Hao Cheng:
Joint Metric Learning on Riemannian Manifold of Global Gaussian Distributions. ICANN (2) 2019: 531-542 - [c42]Haotian Wu, Bin Zhou, Pengfei Zhu, Qinghua Hu, Hong Shi:
Multi-task Sparse Regression Metric Learning for Heterogeneous Classification. ICANN (2) 2019: 543-553 - [c41]Longyin Wen, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Ajit Jadhav, Bing Dong, Brejesh Lall, Chang Liu, Chunhui Zhang, Dong Wang, Pengfei Zhu, Feng Ni, Filiz Bunyak, Gaoang Wang, Guizhong Liu, Guna Seetharaman, Guorong Li, Håkan Ardö, Haotian Zhang, Hongyang Yu, Huchuan Lu, Dawei Du, Jenq-Neng Hwang, Jiatong Mu, Jinrong Hu, Kannappan Palaniappan, Long Chen, Lu Ding, Martin Lauer, Mikael G. Nilsson, Noor M. Al-Shakarji, Prerana Mukherjee, Xiao Bian, Qingming Huang, Robert Laganière, Shuhao Chen, Siyang Pan, Vinay Kaushik, Wei Shi, Wei Tian, Weiqiang Li, Xin Chen, Xinyu Zhang, Haibin Ling, Yanting Zhang, Yanyun Zhao, Yong Wang, Yuduo Song, Yuehan Yao, Zhaotang Chen, Zhenyu Xu, Zhibin Xiao, Zhihang Tong, Zhipeng Luo, Qinghua Hu, Zhuojin Sun, Jiayu Zheng, Tao Peng, Xinyao Wang:
VisDrone-MOT2019: The Vision Meets Drone Multiple Object Tracking Challenge Results. ICCV Workshops 2019: 189-198 - [c40]Dawei Du, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Bo Han, Chunhui Zhang, Guizhong Liu, Han Wu, Hao Wen, Haoran Wang, Pengfei Zhu, Jiaqing Fan, Jie Chen, Jie Gao, Jie Zhang, Jinghao Zhou, Jinliu Zhou, Jinwang Wang, Jiuqing Wan, Josef Kittler, Kaihua Zhang, Longyin Wen, Kaiqi Huang, Kang Yang, Kangkai Zhang, Lianghua Huang, Lijun Zhou, Lingling Shi, Lu Ding, Ning Wang, Peng Wang, Qintao Hu, Xiao Bian, Robert Laganière, Ruiyan Ma, Ruohan Zhang, Shanrong Zou, Shengwei Zhao, Shengyang Li, Shengyin Zhu, Shikun Li, Shiming Ge, Shiyu Xuan, Haibin Ling, Tianyang Xu, Ting He, Wei Shi, Wei Song, Weiming Hu, Wenhua Zhang, Wenjun Zhu, Xi Yu, Xianhai Wang, Xiaojun Wu, Qinghua Hu, Xiaotong Li, Xiaoxue Li, Xiaoyue Yin, Xin Zhang, Xin Zhao, Xizhe Xue, Xu Lei, Xueyuan Yang, Yanjie Gao, Yanyun Zhao, Jiayu Zheng, Yinda Xu, Ying Li, Yong Wang, Yong Yang, Yuting Yang, Yuxuan Li, Zeyu Wang, Zhenhua Feng, Zhipeng Zhang, Zhiyong Yu, Tao Peng, Zhizhao Duan, Zhuojin Sun, Xinyao Wang:
VisDrone-SOT2019: The Vision Meets Drone Single Object Tracking Challenge Results. ICCV Workshops 2019: 199-212 - [c39]Dawei Du, Yue Zhang, Zexin Wang, Zhikang Wang, Zichen Song, Ziming Liu, Liefeng Bo, Hailin Shi, Rui Zhu, Aashish Kumar, Aijin Li, Almaz Zinollayev, Anuar Askergaliyev, Arne Schumann, Binjie Mao, Pengfei Zhu, Byeongwon Lee, Chang Liu, Changrui Chen, Chunhong Pan, Chunlei Huo, Da Yu, Dechun Cong, Dening Zeng, Dheeraj Reddy Pailla, Di Li, Longyin Wen, Dong Wang, Donghyeon Cho, Dongyu Zhang, Furui Bai, George Jose, Guangyu Gao, Guizhong Liu, Haitao Xiong, Hao Qi, Haoran Wang, Xiao Bian, Heqian Qiu, Hongliang Li, Huchuan Lu, Ildoo Kim, Jaekyum Kim, Jane Shen, Jihoon Lee, Jing Ge, Jingjing Xu, Jingkai Zhou, Haibin Ling, Jonas Meier, Jun Won Choi, Junhao Hu, Junyi Zhang, Junying Huang, Kaiqi Huang, Keyang Wang, Lars Sommer, Lei Jin, Lei Zhang, Qinghua Hu, Lianghua Huang, Lin Sun, Lucas Steinmann, Meixia Jia, Nuo Xu, Pengyi Zhang, Qiang Chen, Qingxuan Lv, Qiong Liu, Qishang Cheng, Tao Peng, Sai Saketh Chennamsetty, Shuhao Chen, Shuo Wei, Srinivas S. S. Kruthiventi, Sungeun Hong, Sungil Kang, Tong Wu, Tuo Feng, Varghese Alex Kollerathu, Wanqi Li, Jiayu Zheng, Wei Dai, Weida Qin, Weiyang Wang, Xiaorui Wang, Xiaoyu Chen, Xin Chen, Xin Sun, Xin Zhang, Xin Zhao, Xindi Zhang, Xinyao Wang, Xinyu Zhang, Xuankun Chen, Xudong Wei, Xuzhang Zhang, Yanchao Li, Yifu Chen, Yu Heng Toh, Yu Zhang, Yu Zhu, Yunxin Zhong:
VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results. ICCV Workshops 2019: 213-226 - [c38]Pengfei Zhu, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Bing Dong, Dheeraj Reddy Pailla, Feng Ni, Guangyu Gao, Guizhong Liu, Haitao Xiong, Dawei Du, Jing Ge, Jingkai Zhou, Jinrong Hu, Lin Sun, Long Chen, Martin Lauer, Qiong Liu, Sai Saketh Chennamsetty, Ting Sun, Tong Wu, Longyin Wen, Varghese Alex Kollerathu, Wei Tian, Weida Qin, Xier Chen, Xingjie Zhao, Yanchao Lian, Yinan Wu, Ying Li, Yingping Li, Yiwen Wang, Xiao Bian, Yuduo Song, Yuehan Yao, Yunfeng Zhang, Zhaoliang Pi, Zhaotang Chen, Zhenyu Xu, Zhibin Xiao, Zhipeng Luo, Ziming Liu, Haibin Ling, Qinghua Hu, Tao Peng, Jiayu Zheng, Xinyao Wang:
VisDrone-VID2019: The Vision Meets Drone Object Detection in Video Challenge Results. ICCV Workshops 2019: 227-235 - [c37]Binyuan Hui, Pengfei Zhu, Qinghua Hu, Qilong Wang:
Self-Attention Relation Network for Few-Shot Learning. ICME Workshops 2019: 198-203 - [c36]Ruihuang Li, Changqing Zhang, Qinghua Hu, Pengfei Zhu, Zheng Wang:
Flexible Multi-View Representation Learning for Subspace Clustering. IJCAI 2019: 2916-2922 - [c35]Chenfeng Liu, Pengfei Zhu, Qinghua Hu:
Spatio-temporal Active Learning for Visual Tracking. IJCNN 2019: 1-8 - [c34]Sijia Niu, Qian Xu, Pengfei Zhu, Qinghua Hu, Hong Shi:
Coupled Dictionary Learning for Multi-label Embedding. IJCNN 2019: 1-8 - [c33]Pengfei Zhu, Wenya Ma, Qinghua Hu:
Self-paced Robust Deep Face Recognition with Label Noise. PAKDD (3) 2019: 425-435 - [i7]Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, Deyu Meng:
Progressive Image Deraining Networks: A Better and Simpler Baseline. CoRR abs/1901.09221 (2019) - [i6]Pengfei Zhu, Binyuan Hui, Changqing Zhang, Dawei Du, Longyin Wen, Qinghua Hu:
Multi-view Deep Subspace Clustering Networks. CoRR abs/1908.01978 (2019) - [i5]Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu:
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks. CoRR abs/1910.03151 (2019) - [i4]Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu:
Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network. CoRR abs/1912.01811 (2019) - 2018
- [j21]Qiule Sun, Jianxin Zhang, Pengfei Zhu, Qilong Wang, Peihua Li:
Robust Covariance Representations With Large Margin Dimensionality Reduction for Visual Classification. IEEE Access 6: 5531-5537 (2018) - [j20]Pengfei Zhu, Qian Xu, Qinghua Hu, Changqing Zhang:
Co-regularized unsupervised feature selection. Neurocomputing 275: 2855-2863 (2018) - [j19]Pengfei Zhu, Qian Xu, Qinghua Hu, Changqing Zhang, Hong Zhao:
Multi-label feature selection with missing labels. Pattern Recognit. 74: 488-502 (2018) - [j18]Jianqing Liang, Qinghua Hu, Pengfei Zhu, Wenwu Wang:
Efficient multi-modal geometric mean metric learning. Pattern Recognit. 75: 188-198 (2018) - [j17]Pengfei Zhu, Qi Hu, Qinghua Hu, Changqing Zhang, Zhizhao Feng:
Multi-view label embedding. Pattern Recognit. 84: 126-135 (2018) - [c32]Changqing Zhang, Ziwei Yu, Qinghua Hu, Pengfei Zhu, Xinwang Liu, Xiaobo Wang:
Latent Semantic Aware Multi-View Multi-Label Classification. AAAI 2018: 4414-4421 - [c31]Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Thekke Madam Nimisha, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung:
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. ECCV Workshops (5) 2018: 315-333 - [c30]Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Qinqin Nie, Hao Cheng, Chenfeng Liu, Xiaoyu Liu, Wenya Ma, Haotian Wu, Lianjie Wang, Arne Schumann, Chase Brown, Qian Chen, Chengzheng Li, Dongdong Li, Emmanouil Michail, Fan Zhang, Feng Ni, Feng Zhu, Guanghui Wang, Haipeng Zhang, Han Deng, Hao Liu, Haoran Wang, Heqian Qiu, Honggang Qi, Honghui Shi, Hongliang Li, Hongyu Xu, Hu Lin, Ioannis Kompatsiaris, Jian Cheng, Jianqiang Wang, Jianxiu Yang, Jingkai Zhou, Juanping Zhao, K. J. Joseph, Kaiwen Duan, Karthik Suresh, Bo Ke, Ke Wang, Konstantinos Avgerinakis, Lars Wilko Sommer, Lei Zhang, Li Yang, Lin Cheng, Lin Ma, Liyu Lu, Lu Ding, Minyu Huang, Naveen Kumar Vedurupaka, Nehal Mamgain, Nitin Bansal, Oliver Acatay, Panagiotis Giannakeris, Qian Wang, Qijie Zhao, Qingming Huang, Qiong Liu, Qishang Cheng, Qiuchen Sun, Robert Laganière, Sheng Jiang, Shengjin Wang, Shubo Wei, Siwei Wang, Stefanos Vrochidis, Sujuan Wang, Tiaojio Lee, Usman Sajid, Vineeth N. Balasubramanian, Wei Li, Wei Zhang, Weikun Wu, Wenchi Ma, Wenrui He, Wenzhe Yang, Xiaoyu Chen, Xin Sun, Xinbin Luo, Xintao Lian, Xiufang Li, Yangliu Kuai, Yali Li, Yi Luo, Yifan Zhang, Yiling Liu, Ying Li, Yong Wang, Yongtao Wang, Yuanwei Wu, Yue Fan, Yunchao Wei, Yuqin Zhang, Zexin Wang, Zhangyang Wang, Zhaoyue Xia, Zhen Cui, Zhenwei He, Zhipeng Deng, Zhiyao Guo, Zichen Song:
VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results. ECCV Workshops (5) 2018: 437-468 - [c29]Longyin Wen, Pengfei Zhu, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Chenfeng Liu, Hao Cheng, Xiaoyu Liu, Wenya Ma, Qinqin Nie, Haotian Wu, Lianjie Wang, Asanka G. Perera, Baochang Zhang, Byeongho Heo, Chunlei Liu, Dongdong Li, Emmanouil Michail, Hanlin Chen, Hao Liu, Haojie Li, Ioannis Kompatsiaris, Jian Cheng, Jiaqing Fan, Jie Zhang, Jin Young Choi, Jing Li, Jinyu Yang, Jongwon Choi, Juanping Zhao, Jungong Han, Kaihua Zhang, Kaiwen Duan, Ke Song, Konstantinos Avgerinakis, Kyuewang Lee, Lu Ding, Martin Lauer, Panagiotis Giannakeris, Peizhen Zhang, Qiang Wang, Qianqian Xu, Qingming Huang, Qingshan Liu, Robert Laganière, Ruixin Zhang, Sangdoo Yun, Shengyin Zhu, Sihang Wu, Stefanos Vrochidis, Wei Tian, Wei Zhang, Weidong Chen, Weiming Hu, Wenhao Wang, Wenhua Zhang, Wenrui Ding, Xiaohao He, Xiaotong Li, Xin Zhang, Xinbin Luo, Xixi Hu, Yang Meng, Yangliu Kuai, Yanyun Zhao, Yaxuan Li, Yifan Yang, Yifan Zhang, Yong Wang, Yuankai Qi, Zhipeng Deng, Zhiqun He:
VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results. ECCV Workshops (5) 2018: 469-495 - [c28]Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Haotian Wu, Qinqin Nie, Hao Cheng, Chenfeng Liu, Xiaoyu Liu, Wenya Ma, Lianjie Wang, Arne Schumann, Dan Wang, Diego Ortego, Elena Luna, Emmanouil Michail, Erik Bochinski, Feng Ni, Filiz Bunyak, Gege Zhang, Guna Seetharaman, Guorong Li, Hongyang Yu, Ioannis Kompatsiaris, Jianfei Zhao, Jie Gao, José M. Martínez, Juan C. SanMiguel, Kannappan Palaniappan, Konstantinos Avgerinakis, Lars Wilko Sommer, Martin Lauer, Mengkun Liu, Noor M. Al-Shakarji, Oliver Acatay, Panagiotis Giannakeris, Qijie Zhao, Qinghua Ma, Qingming Huang, Stefanos Vrochidis, Thomas Sikora, Tobias Senst, Wei Song, Wei Tian, Wenhua Zhang, Yanyun Zhao, Yidong Bai, Yinan Wu, Yongtao Wang, Yuxuan Li, Zhaoliang Pi, Zhiming Ma:
VisDrone-VDT2018: The Vision Meets Drone Video Detection and Tracking Challenge Results. ECCV Workshops (5) 2018: 496-518 - [c27]Yue Liu, Changqing Zhang, Pengfei Zhu, Qinghua Hu:
Generalized Multi-view Unsupervised Feature Selection. ICANN (2) 2018: 469-478 - [c26]Hao Cheng, Pengfei Zhu, Qilong Wang, Changqing Zhang, Qinghua Hu:
Support Vector Metric Learning on Symmetric Positive Definite Manifold. ICME 2018: 1-6 - [c25]Changqing Zhang, Yeqing Liu, Yue Liu, Qinghua Hu, Xinwang Liu, Pengfei Zhu:
FISH-MML: Fisher-HSIC Multi-View Metric Learning. IJCAI 2018: 3054-3060 - [c24]Pengfei Zhu, Hao Cheng, Qinghua Hu, Qilong Wang, Changqing Zhang:
Towards Generalized and Efficient Metric Learning on Riemannian Manifold. IJCAI 2018: 3235-3241 - [c23]Pengfei Zhu, Ren Qi, Qinghua Hu, Qilong Wang, Changqing Zhang, Liu Yang:
Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning. IJCAI 2018: 3242-3248 - [c22]Jing Hu, Changqing Zhang, Xiao Wang, Pengfei Zhu, Zheng Wang, Qinghua Hu:
Latent Subspace Representation for Multiclass Classification. PRICAI (1) 2018: 163-176 - [i3]Pengfei Zhu, Longyin Wen, Xiao Bian, Haibin Ling, Qinghua Hu:
Vision Meets Drones: A Challenge. CoRR abs/1804.07437 (2018) - [i2]Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Thekke Madam Nimisha, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung:
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. CoRR abs/1810.01641 (2018) - 2017
- [j16]Pengfei Zhu, Wencheng Zhu, Weizhi Wang, Wangmeng Zuo, Qinghua Hu:
Non-convex regularized self-representation for unsupervised feature selection. Image Vis. Comput. 60: 22-29 (2017) - [j15]Pengfei Zhu, Wencheng Zhu, Qinghua Hu, Changqing Zhang, Wangmeng Zuo:
Subspace clustering guided unsupervised feature selection. Pattern Recognit. 66: 364-374 (2017) - [j14]Changqing Zhang, Huazhu Fu, Qinghua Hu, Pengfei Zhu, Xiaochun Cao:
Flexible Multi-View Dimensionality Co-Reduction. IEEE Trans. Image Process. 26(2): 648-659 (2017) - [c21]Changqing Zhang, Qinghua Hu, Huazhu Fu, Pengfei Zhu, Xiaochun Cao:
Latent Multi-view Subspace Clustering. CVPR 2017: 4333-4341 - [c20]Guangxia Wang, Changqing Zhang, Pengfei Zhu, Qinghua Hu:
Semi-Supervised Multi-view Multi-label Classification Based on Nonnegative Matrix Factorization. ICANN (2) 2017: 340-348 - [c19]Kennedy W. Wangila, Ke Gao, Pengfei Zhu, Qinghua Hu, Changqing Zhang:
Mixed sparsity regularized multi-view unsupervised feature selection. ICIP 2017: 1930-1934 - [c18]Siqi Liang, Qian Xu, Pengfei Zhu, Qinghua Hu, Changqing Zhang:
Unsupervised feature selection by manifold regularized self-representation. ICIP 2017: 2398-2402 - [c17]Ziwei Yu, Changqing Zhang, Qinghua Hu, Pengfei Zhu:
Independence regularized multi-label ensemble. ICME 2017: 853-858 - [c16]Qi Hu, Pengfei Zhu, Changqing Zhang, Qinghua Hu:
Multi-view Label Space Dimension Reduction. ICONIP (1) 2017: 248-258 - [c15]Hong Zhao, Pengfei Zhu, Ping Wang, Qinghua Hu:
Hierarchical Feature Selection with Recursive Regularization. IJCAI 2017: 3483-3489 - 2016
- [j13]Pengfei Zhu, Qinghua Hu, Yahong Han, Changqing Zhang, Yong Du:
Combining neighborhood separable subspaces for classification via sparsity regularized optimization. Inf. Sci. 370-371: 270-287 (2016) - [j12]Shuang An, Qinghua Hu, Witold Pedrycz, Pengfei Zhu, Eric C. C. Tsang:
Data-Distribution-Aware Fuzzy Rough Set Model and its Application to Robust Classification. IEEE Trans. Cybern. 46(12): 3073-3085 (2016) - [c14]Pengfei Zhu, Qinghua Hu, Changqing Zhang, Wangmeng Zuo:
Coupled Dictionary Learning for Unsupervised Feature Selection. AAAI 2016: 2422-2428 - [c13]Ke Gao, Pengfei Zhu, Qinghua Hu, Changqing Zhang:
Unsupervised Subspace Learning via Analysis Dictionary Learning. CCBR 2016: 556-563 - [c12]Qian Xu, Pengfei Zhu, Qinghua Hu, Changqing Zhang:
Robust Multi-label Feature Selection with Missing Labels. CCPR (1) 2016: 752-765 - [c11]Pengfei Zhu, Lei Zhang, Wangmeng Zuo, Xiangchu Feng, Qinghua Hu:
A Self-Representation Induced Classifier. IJCAI 2016: 2442-2448 - [c10]Huaxi Huang, Changqing Zhang, Qinghua Hu, Pengfei Zhu:
Multi-view Representative and Informative Induced Active Learning. PRICAI 2016: 139-151 - [c9]Wencheng Zhu, Pengfei Zhu, Qinghua Hu, Changqing Zhang:
Set to Set Visual Tracking. PRICAI 2016: 700-712 - 2015
- [j11]Meng Yang, Pengfei Zhu, Feng Liu, Linlin Shen:
Joint representation and pattern learning for robust face recognition. Neurocomputing 168: 70-80 (2015) - [j10]Pengfei Zhu, Wangmeng Zuo, Lei Zhang, Qinghua Hu, Simon C. K. Shiu:
Unsupervised feature selection by regularized self-representation. Pattern Recognit. 48(2): 438-446 (2015) - [c8]Weizhi Wang, Hongzhi Zhang, Pengfei Zhu, David Zhang, Wangmeng Zuo:
Non-convex Regularized Self-representation for Unsupervised Feature Selection. IScIDE (2) 2015: 55-65 - 2014
- [j9]Pengfei Zhu, Qinghua Hu, Wangmeng Zuo, Meng Yang:
Multi-granularity distance metric learning via neighborhood granule margin maximization. Inf. Sci. 282: 321-331 (2014) - [j8]Pengfei Zhu, Wangmeng Zuo, Lei Zhang, Simon Chi-Keung Shiu, David Zhang:
Image Set-Based Collaborative Representation for Face Recognition. IEEE Trans. Inf. Forensics Secur. 9(7): 1120-1132 (2014) - [c7]Pengfei Zhu, Meng Yang, Lei Zhang, Il-Yong Lee:
Local Generic Representation for Face Recognition with Single Sample per Person. ACCV (3) 2014: 34-50 - [c6]Yuru Shao, Xiapu Luo, Chenxiong Qian, Pengfei Zhu, Lei Zhang:
Towards a scalable resource-driven approach for detecting repackaged Android applications. ACSAC 2014: 56-65 - 2013
- [j7]Pengfei Zhu, Qinghua Hu:
Adaptive neighborhood granularity selection and combination based on margin distribution optimization. Inf. Sci. 249: 1-12 (2013) - [j6]Pengfei Zhu, Qinghua Hu:
Rule extraction from support vector machines based on consistent region covering reduction. Knowl. Based Syst. 42: 1-8 (2013) - [c5]Meng Yang, Pengfei Zhu, Luc Van Gool, Lei Zhang:
Face recognition based on regularized nearest points between image sets. FG 2013: 1-7 - [c4]Pengfei Zhu, Lei Zhang, Wangmeng Zuo, David Zhang:
From Point to Set: Extend the Learning of Distance Metrics. ICCV 2013: 2664-2671 - [p1]Qinghua Hu, Leijun Li, Pengfei Zhu:
Exploring Neighborhood Structures with Neighborhood Rough Sets in Classification Learning. Rough Sets and Intelligent Systems (1) 2013: 277-307 - [i1]Pengfei Zhu, Wangmeng Zuo, Lei Zhang, Simon C. K. Shiu, David Zhang:
Image Set based Collaborative Representation for Face Recognition. CoRR abs/1308.6687 (2013) - 2012
- [j5]Zongxia Xie, Yong Xu, Qinghua Hu, Pengfei Zhu:
Margin distribution based bagging pruning. Neurocomputing 85: 11-19 (2012) - [j4]Degang Chen, Lei Zhang, Suyun Zhao, Qinghua Hu, Pengfei Zhu:
A Novel Algorithm for Finding Reducts With Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. 20(2): 385-389 (2012) - [c3]Pengfei Zhu, Lei Zhang, Qinghua Hu, Simon C. K. Shiu:
Multi-scale Patch Based Collaborative Representation for Face Recognition with Margin Distribution Optimization. ECCV (1) 2012: 822-835 - 2011
- [j3]Qinghua Hu, Pengfei Zhu, Yongbin Yang, Daren Yu:
Large-margin nearest neighbor classifiers via sample weight learning. Neurocomputing 74(4): 656-660 (2011) - [j2]Yong Du, Qinghua Hu, Pengfei Zhu, Peijun Ma:
Rule learning for classification based on neighborhood covering reduction. Inf. Sci. 181(24): 5457-5467 (2011) - [c2]Lei Zhang, Pengfei Zhu, Qinghua Hu, David Zhang:
A linear subspace learning approach via sparse coding. ICCV 2011: 755-761 - 2010
- [j1]Qinghua Hu, Pengfei Zhu, Jinfu Liu, Yongbin Yang, Daren Yu:
Feature Selection via Maximizing Fuzzy Dependency. Fundam. Informaticae 98(2-3): 167-181 (2010) - [c1]Pengfei Zhu, Qinghua Hu, Yongbin Yang:
Weighted Nearest Neighbor Classification via Maximizing Classification Consistency. RSCTC 2010: 347-355
Coauthor Index
[j58] [j56] [j55] [j54] [j53] [j52] [j51] [j50] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c77] [i33] [i32] [i31] [i30] [i29] [i28] [i26] [j49] [j47] [j46] [j45] [j44] [j43] [j42] [c75] [c74] [c73] [i25] [i24] [i23] [i22] [j41] [j40] [j39] [j37] [j35] [j34] [c71] [i20] [i18] [i17] [j32] [j30] [j29] [j28] [c70] [c68] [c66] [c65] [c64] [c62] [i15] [i14] [i13] [j26] [j25] [j24] [c60] [c58] [c56] [c55] [c54] [c53] [c52] [c49] [i12] [i11] [i10] [i8] [j23] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [i7] [i6] [i5] [i4] [j20] [j19] [j18] [j17] [c32] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [i3] [j16] [j15] [j14] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [j13] [j12] [c14] [c13] [c12] [c11] [c10] [c9] [j10] [j9] [j7] [j6] [p1] [j5] [j4] [c3] [j3] [j2] [c2] [j1] [c1]
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