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Monocular contextual constraint for stereo matching with adaptive weights assignment 期刊论文
IMAGE AND VISION COMPUTING, 2022, 卷号: 121, 页码: 10
作者:  Zhang, Chenghao;  Meng, Gaofeng;  Su, Bing;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(3669Kb)  |  收藏  |  浏览/下载：244/38  |  提交时间：2022/06/10
Deep learning  Stereo matching  Monocular contextual constraint  Adaptive weights assignment  
SegDQ: Segmentation assisted multi-object tracking with dynamic query-based transformers 期刊论文
NEUROCOMPUTING, 2022, 卷号: 481, 页码: 91-101
作者:  Liu, Yating;  Bai, Tianxiang;  Tian, Yonglin;  Wang, Yutong;  Wang, Jiangong;  Wang, Xiao;  Wang, Fei-Yue
Adobe PDF(2635Kb)  |  收藏  |  浏览/下载：284/41  |  提交时间：2022/06/06
Multi-object tracking  Transformer  Semantic task  Dynamic query  
Attention Enhanced Reinforcement Learning for Multi agent Cooperation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Pu, Zhiqiang;  Wang, Huimu;  Liu, Zhen;  Yi, Jianqiang;  Wu, Shiguang
Adobe PDF(2967Kb)  |  收藏  |  浏览/下载：295/41  |  提交时间：2022/06/06
Training  Reinforcement learning  Games  Scalability  Task analysis  Standards  Optimization  Attention mechanism  deep reinforcement learning (DRL)  graph convolutional networks  multi agent systems  
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：232/32  |  提交时间：2022/09/19
Object detection  prediction decoupling  convolutional neural network  
Partial Domain Adaptation by Progressive Sample Learning of Shared Classes 期刊论文
Neural Processing Letters, 2022, 卷号: 0, 期号: 0, 页码: 0
作者:  Lei, Tian;  Yongqiang, Tang;  Wensheng, Zhang
Adobe PDF(912Kb)  |  收藏  |  浏览/下载：192/50  |  提交时间：2022/04/06
Partial domain adaptation  Domain adaptation  Transfer learning  Self-paced learning  Low-dimensional subspace learning  
Deep convolutional self-paced clustering 期刊论文
APPLIED INTELLIGENCE, 2021, 页码: 15
作者:  Chen, Rui;  Tang, Yongqiang;  Tian, Lei;  Zhang, Caixia;  Zhang, Wensheng
Adobe PDF(2029Kb)  |  收藏  |  浏览/下载：236/43  |  提交时间：2021/11/02
Deep clustering  Convolutional autoencoder  Local structure preservation  Self-paced learning  
Continuous-Time Distributed Policy Iteration for Multicontroller Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 51, 期号: 5, 页码: 2372-2383
作者:  Wei, Qinglai;  Li, Hongyang;  Yang, Xiong;  He, Haibo
Adobe PDF(1246Kb)  |  收藏  |  浏览/下载：215/36  |  提交时间：2021/06/07
Optimal control  Nonlinear systems  Decentralized control  Mathematical model  Convergence  Multi-agent systems  Adaptive dynamic programming (ADP)  approximate dynamic programming  distributed policy iteration  nonlinear systems  optimal control  
A prototype-based SPD matrix network for domain adaptation EEG emotion recognition 期刊论文
PATTERN RECOGNITION, 2021, 卷号: 110, 期号: 1, 页码: 12
作者:  Wang, Yixin;  Qiu, Shuang;  Ma, Xuelin;  He, Huiguang
Adobe PDF(2166Kb)  |  收藏  |  浏览/下载：433/127  |  提交时间：2021/01/06
EEG  Emotion recognition  Domain adaptation  SPD matrix  Riemannian manifold  Prototype learning  
Learning Aligned Image-Text Representations Using Graph Attentive Relational Network 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 期号: 30, 页码: 1840-1852
作者:  Jing, Ya;  Wang, Wei;  Wang, Liang;  Tan, Tieniu
Adobe PDF(4532Kb)  |  收藏  |  浏览/下载：312/50  |  提交时间：2021/03/08
Graph neural networks  Visualization  Semantics  Task analysis  Feature extraction  Annotations  Recurrent neural networks  Image-text matching  cross-modal retrieval  person search  graph neural network  
GA-NET: Global Attention Network for Point Cloud Semantic Segmentation 期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2021, 卷号: 28, 页码: 1300-1304
作者:  Deng, Shuang;  Dong, Qiulei
Adobe PDF(801Kb)  |  收藏  |  浏览/下载：188/27  |  提交时间：2021/08/15
Three-dimensional displays  Feature extraction  Semantics  Computational complexity  Vegetation mapping  Image segmentation  Feeds  3D point cloud  semantic segmentation  global attention  convolutional neural networks  deep learning