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BioDrone: A Bionic Drone-Based Single Object Tracking Benchmark for Robust Vision 期刊论文
International Journal of Computer Vision, 2024, 卷号: 132, 页码: 1659-1684
Authors:  Xin Zhao;  Shiyu Hu;  Yipei Wang;  Zhang Jing;  Yimin Hu;  Rongshuai Liu;  Haibin Ling;  Yin Li;  Renshu Li;  Kun Liu;  Jiadong Li
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Integrative interaction of emotional speech in audio-visual modality 期刊论文
FRONTIERS IN NEUROSCIENCE, 2022, 卷号: 16, 页码: 13
Authors:  Dong, Haibin;  Li, Na;  Fan, Lingzhong;  Wei, Jianguo;  Xu, Junhai
Favorite  |  View/Download:103/0  |  Submit date:2023/03/20
audio-visual integration  emotional speech  fMRI  left insula  weighted RSA  
3D Mapping and 6D Pose Computation for Real Time Augmented Reality on Cylindrical Objects 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2019, 期号: 10.1109/TCSVT.2019.2950449, 页码: 1-13
Authors:  Tang, Fulin;  Wu, Yihong;  Hou, Xiaohui;  Ling, Haibin
View  |  Adobe PDF(6471Kb)  |  Favorite  |  View/Download:352/87  |  Submit date:2020/06/11
Augmented reality(AR)  cylindrical object  reconstruction  tracking  linear P3P RANSAC  
Tracking-by-Fusion via Gaussian Process Regression Extended to Transfer Learning 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 939-955
Authors:  Gao, Jin;  Wang, Qiang;  Xing, Junliang;  Ling, Haibin;  Hu, Weiming;  Maybank, Stephen
Adobe PDF(4458Kb)  |  Favorite  |  View/Download:328/14  |  Submit date:2020/06/02
Task analysis  Correlation  Target tracking  Probability distribution  Visualization  Collaboration  Visual tracking  Gaussian processes  correlation filters  transfer learning  tracking-by-fusion  
Rank-1 Tensor Approximation for High-Order Association in Multi-target Tracking 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2019, 卷号: 127, 期号: 8, 页码: 1063-1083
Authors:  Shi, Xinchu;  Ling, Haibin;  Pang, Yu;  Hu, Weiming;  Chu, Peng;  Xing, Junliang
Favorite  |  View/Download:312/0  |  Submit date:2019/12/16
Multi-target tracking  Multi-dimensional assignment  Rank-1 tensor approximation  Data association  
Dual L-1-Normalized Context Aware Tensor Power Iteration and Its Applications to Multi-object Tracking and Multi-graph Matching 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2019, 期号: 128, 页码: 33
Authors:  Hu, Weiming;  Shi, Xinchu;  Zhou, Zongwei;  Xing, Junliang;  Ling, Haibin;  Maybank, Stephen
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Multi-dimensional assignment  Context  hyper-context aware tensor power iteration  Multi-object tracking  Multi-graph matching  
Action unit detection and key frame selection for human activity prediction 期刊论文
NEUROCOMPUTING, 2018, 卷号: 318, 页码: 109-119
Authors:  Wang, Haoran;  Yuan, Chunfeng;  Shen, Jifeng;  Yang, Wankou;  Ling, Haibin
Favorite  |  View/Download:405/0  |  Submit date:2019/07/12
Activity prediction  Key frame selection  Action unit detection  Structured SVM  
Arginine-Rich Manganese Silicate Nanobubbles as a Ferroptosis-Inducing Agent for Tumor-Targeted Theranostics 期刊论文
ACS NANO, 2018, 卷号: 12, 期号: 12, 页码: 12380-12392
Authors:  Wang, Shuaifei;  Li, Fangyuan;  Qiao, Ruirui;  Hu, Xi;  Liao, Honrei;  Chen, Lumin;  Wu, Jiahe;  Wu, Haibin;  Zhao, Meng;  Liu, Jianan;  Chen, Rui;  Ma, Xibo;  Kim, Dokyoon;  Sun, Jihong;  Davis, Thomas P.;  Chen, Chunying;  Tian, Jie;  Hyeon, Taeghwan;  Ling, Daishun
Favorite  |  View/Download:342/0  |  Submit date:2019/07/12
nanobubbles  glutathione  GPX4  ferroptosis  theranostics  
Diagnosing deep learning models for high accuracy age estimation from a single image 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 66, 期号: 1, 页码: 106-116
Authors:  Xing, Junhang;  Li, Kai;  Hu, Weiming;  Yuan, Chunfeng;  Ling, Haibin
View  |  Adobe PDF(1247Kb)  |  Favorite  |  View/Download:798/366  |  Submit date:2017/07/18
Age Estimation  Deep Learning  Multi-task Learning  
Salient Object Detection via Structured Matrix Decomposition 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017, 卷号: 39, 期号: 4, 页码: 818-832
Authors:  Peng, Houwen;  Li, Bing;  Ling, Haibin;  Hu, Weiming;  Xiong, Weihua;  Maybank, Stephen J.
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Salient Object Detection  Matrix Decomposition  Low Rank  Structured Sparsity  Subspace Learning