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Multi-Correlation Siamese Transformer Network With Dense Connection for 3D Single Object Tracking 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2023, 卷号: 8, 期号: 12, 页码: 8066-8073
作者:  Feng, Shihao;  Liang, Pengpeng;  Gao, Jin;  Cheng, Erkang
收藏  |  浏览/下载：75/0  |  提交时间：2023/12/21
3D object tracking  Point cloud  Transformer  
Cross-Architecture Knowledge Distillation 会议论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, Macau SAR, China, 2022.12.4-2022.12.8
作者:  Yufan Liu;  Jiajiong Cao;  Bing Li;  Weiming Hu;  Jingting Ding;  Liang Li
Adobe PDF(1020Kb)  |  收藏  |  浏览/下载：129/41  |  提交时间：2023/04/23
Knowledge distillation  Cross architecture  Model compression  Deep learning  
Narrowing the Gap: Improved Detector Training With Noisy Location Annotations 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6369-6380
作者:  Wang, Shaoru;  Gao, Jin;  Li, Bing;  Hu, Weiming
Adobe PDF(1489Kb)  |  收藏  |  浏览/下载：201/25  |  提交时间：2022/11/14
Annotations  Noise measurement  Detectors  Task analysis  Training  Object detection  Degradation  Object detection  noisy label  Bayesian estimation  teacher-student learning  
Face swapping detection based on identity spatial constraints with weighted frequency division 期刊论文
MULTIMEDIA SYSTEMS, 2022, 页码: 14
作者:  Ai, Zupeng;  Peng, Chengwei;  Jiang, Jun;  Li, Zekun;  Li, Bing
收藏  |  浏览/下载：170/0  |  提交时间：2022/11/14
Face swapping  Face manipulation  Frequency division  Identity constraints  
PDNet: Toward Better One-Stage Object Detection With Prediction Decoupling 期刊论文
IEEE Transactions on Image Processing, 2022, 卷号: 31, 页码: 5121-5133
作者:  Yang, Li;  Xu, Yan;  Wang, Shaoru;  Yuan, Chunfeng;  Zhang, Ziqi;  Li, Bing;  Hu, Weiming
Adobe PDF(3190Kb)  |  收藏  |  浏览/下载：228/32  |  提交时间：2022/09/19
Object detection  prediction decoupling  convolutional neural network  
Attention deficit/hyperactivity disorder Classification based on deep spatio-temporal features of functional Magnetic Resonance Imaging 期刊论文
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2022, 卷号: 71, 页码: 10
作者:  Liu, Shuaiqi;  Zhao, Ling;  Zhao, Jie;  Li, Bing;  Wang, Shui-Hua
收藏  |  浏览/下载：221/0  |  提交时间：2021/12/28
Attention deficit  hyperactivity disorder  Resting functional magnetic resonance imaging  Classification  Convolutional gated recurrent unit  
Multi-Scale Low-Discriminative Feature Reactivation for Weakly Supervised Object Localization 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 6050-6065
作者:  Wang, Bo;  Yuan, Chunfeng;  Li, Bing;  Ding, Xinmiao;  Li, Zeya;  Wu, Ying;  Hu, Weiming
收藏  |  浏览/下载：192/0  |  提交时间：2021/08/15
Location awareness  Neurons  Task analysis  Pattern recognition  Automation  Search problems  Proposals  Weakly supervised object localization  feature recalibration  multi-scale class activation mapping  
EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 32, 期号: 0, 页码: 0
作者:  Ruan, Xiaofeng;  Liu, Yufan;  Yuan, Chunfeng;  Li, Bing;  Hu, Weiming;  Li, Yangxi;  Maybank, Stephen
Adobe PDF(3625Kb)  |  收藏  |  浏览/下载：282/43  |  提交时间：2021/06/17
Data-driven  low-rank decomposition  model compression and acceleration  structured pruning  
Web Objectionable Video Recognition Based on Deep Multi-Instance Learning With Representative Prototypes Selection 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 3, 页码: 1222-1233
作者:  Ding, Xinmiao;  Li, Bing;  Li, Yangxi;  Guo, Wen;  Liu, Yao;  Xiong, Weihua;  Hu, Weiming
收藏  |  浏览/下载：251/0  |  提交时间：2021/04/27
Feature extraction  Prototypes  Visualization  Support vector machines  Machine learning  Streaming media  Spectrogram  Representative prototype selection  objectionable video recognition  deep learning  
Distractor-aware discrimination learning for online multiple object tracking 期刊论文
PATTERN RECOGNITION, 2020, 期号: 107, 页码: 10
作者:  Zhou, Zongwei;  Luo, Wenhan;  Wang, Qiang;  Xing, Junliang;  Hu, Weiming
Adobe PDF(840Kb)  |  收藏  |  浏览/下载：360/106  |  提交时间：2020/08/31
Multi-object tracking  Distractor-aware discrimination learning  Relational attention learning