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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：76/0  |  提交时间：2023/12/21
3D object tracking  Point cloud  Transformer  
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：203/25  |  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  
Dynamic camera configuration learning for high-confidence active object detection 期刊论文
NEUROCOMPUTING, 2021, 卷号: 466, 页码: 113-127
作者:  Xu, Nuo;  Huo, Chunlei;  Zhang, Xin;  Cao, Yong;  Meng, Gaofeng;  Pan, Chunhong
Adobe PDF(4412Kb)  |  收藏  |  浏览/下载：273/51  |  提交时间：2021/12/28
Object detection  Active object detection  Deep reinforcement learning  Camera control  
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：285/43  |  提交时间：2021/06/17
Data-driven  low-rank decomposition  model compression and acceleration  structured pruning  
A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021, 卷号: 40, 期号: 4, 页码: 1279-1289
作者:  Yao, Dongren;  Sui, Jing;  Wang, Mingliang;  Yang, Erkun;  Jiaerken, Yeerfan;  Luo, Na;  Yap, Pew-Thian;  Liu, Mingxia;  Shen, Dinggang
Adobe PDF(2425Kb)  |  收藏  |  浏览/下载：388/68  |  提交时间：2021/05/17
Functional magnetic resonance imaging  Convolution  Diseases  Fuses  Brain modeling  Neuroimaging  White matter  Brain connectivity  graph convolutional network  triplet  classification  
Multiple object tracking: A literature review 期刊论文
ARTIFICIAL INTELLIGENCE, 2021, 卷号: 293, 页码: 23
作者:  Luo, Wenhan;  Xing, Junliang;  Milan, Anton;  Zhang, Xiaoqin;  Liu, Wei;  Kim, Tae-Kyun
收藏  |  浏览/下载：127/0  |  提交时间：2021/04/06
Multi-object tracking  Data association  Survey  
High-speed rail pole number recognition through deep representation and temporal redundancy 期刊论文
NEUROCOMPUTING, 2020, 卷号: 415, 页码: 201-214
作者:  Yang, Yang;  Zhang, Wensheng;  He, Zewen;  Li, Ding
Adobe PDF(2751Kb)  |  收藏  |  浏览/下载：274/48  |  提交时间：2021/01/07
Region-based convolutional neural network  Context information  Object detection  Number recognition  Pole number  High-speed rail  
A Comparison of Correlation Filter-Based Trackers and Struck Trackers 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2020, 卷号: 30, 期号: 9, 页码: 3106-3118
作者:  Wang, Jinqiao;  Zheng, Linyu;  Tang, Ming;  Feng, Jiayi
收藏  |  浏览/下载：197/0  |  提交时间：2021/01/07
Correlation  Target tracking  Kernel  Support vector machines  Training  Optimization  Discrete Fourier transforms  Visual tracking  correlation filters  structured output SVM tracker  struck  ranking SVM tracker  
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：363/106  |  提交时间：2020/08/31
Multi-object tracking  Distractor-aware discrimination learning  Relational attention learning  
Deep Spatial and Temporal Network for Robust Visual Object Tracking 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 1762-1775
作者:  Teng, Zhu;  Xing, Junliang;  Wang, Qiang;  Zhang, Baopeng;  Fan, Jianping
收藏  |  浏览/下载：284/0  |  提交时间：2020/03/30
Target tracking  Visualization  Biological system modeling  Correlation  Training  Benchmark testing  Visual tracking  deep network  spatial-temporal LSTM