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Key-Part Attention Retrieval for Robotic Object Recognition 期刊论文
TSINGHUA SCIENCE AND TECHNOLOGY, 2024, 卷号: 29, 期号: 3, 页码: 644-655
作者:  Liu, Jierui;  Cao, Zhiqiang;  Tang, Yingbo
Adobe PDF(2164Kb)  |  收藏  |  浏览/下载：65/1  |  提交时间：2024/02/22
Training  Visualization  Image recognition  Cameras  Object recognition  Convolutional neural networks  Data mining  key-part attention  retrieval  robotic object recognition  
Adaptive learning nonsynchronous control of nonlinear hidden Markov jump systems with limited mode information 期刊论文
ELECTRONIC RESEARCH ARCHIVE, 2023, 卷号: 31, 期号: 11, 页码: 6746-6762
作者:  Ma, Chao;  Gao, Hang;  Wu, Wei
收藏  |  浏览/下载：28/0  |  提交时间：2023/12/21
adaptive control  nonsynchronous control  hidden Markov jump system  limited mode information  
Accurate Lung Nodule Segmentation With Detailed Representation Transfer and Soft Mask Supervision 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:  Wang, Changwei;  Xu, Rongtao;  Xu, Shibiao;  Meng, Weiliang;  Xiao, Jun;  Zhang, Xiaopeng
Adobe PDF(4178Kb)  |  收藏  |  浏览/下载：120/1  |  提交时间：2023/12/21
Detailed representation transfer  lung nodules segmentation  medical images segmentation  soft mask  
Adaptive Locomotion Transition Recognition With Wearable Sensors for Lower Limb Robotic Prosthesis 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 页码: 11
作者:  Zheng, Enhao;  Wan, Jiacheng;  Gao, Siyuan;  Wang, Qining
收藏  |  浏览/下载：59/0  |  提交时间：2023/11/17
Adaptive recognition model  interday and interuser  locomotion mode recognition  lower limb robotic prostheses  template generation  
Learning to Adapt Across Dual Discrepancy for Cross-Domain Person Re-Identification 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 2, 页码: 1963-1980
作者:  Luo, Chuanchen;  Song, Chunfeng;  Zhang, Zhaoxiang
Adobe PDF(2539Kb)  |  收藏  |  浏览/下载：224/67  |  提交时间：2023/03/20
Person re-identification  domain adaptation  cross-domain mixup  camera-aware learning  self-paced learning  
Meta Graph Transformer: A Novel Framework for Spatial-Temporal Traffic Prediction 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 544-563
作者:  Ye, Xue;  Fang, Shen;  Sun, Fang;  Zhang, Chunxia;  Xiang, Shiming
Adobe PDF(3491Kb)  |  收藏  |  浏览/下载：234/28  |  提交时间：2022/09/19
Traffic prediction  Spatial-temporal modeling  Meta-learning  Attention mechanism  Deep learning  
Driving EEG based multilayer dynamic brain network analysis for steering process 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 207, 页码: 17
作者:  Chang, Wenwen;  Meng, Weiliang;  Yan, Guanghui;  Zhang, Bingtao;  Luo, Hao;  Gao, Rui;  Yang, Zhifei
Adobe PDF(13070Kb)  |  收藏  |  浏览/下载：347/82  |  提交时间：2022/09/19
Multi -layer Networks  Functional Connectivity  Electroencephalogram (EEG)  Driving Intention  Feature Extraction  Driving Behavior  
Role of Asymptomatic COVID-19 Cases in Viral Transmission: Findings From a Hierarchical Community Contact Network Model 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2021, 页码: 10
作者:  Luo, Tianyi;  Cao, Zhidong;  Wang, Yuejiao;  Zeng, Daniel;  Zhang, Qingpeng
Adobe PDF(2265Kb)  |  收藏  |  浏览/下载：267/37  |  提交时间：2022/01/27
COVID-19  Epidemics  Pandemics  Sociology  Market research  Mathematical models  Timing  Risk management  Statistics  Asymptomatic patients  COVID-19  epidemic rebound  strategy evaluation  transmission model  
Learning to Assemble Noncylindrical Parts Using Trajectory Learning and Force Tracking 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2021, 页码: 12
作者:  Su, Jianhua;  Meng, Yan;  Wang, Lili;  Yang, Xu
Adobe PDF(4865Kb)  |  收藏  |  浏览/下载：328/54  |  提交时间：2022/01/27
Force  Trajectory  Robots  Task analysis  Hidden Markov models  Impedance  Training  Assembly skill  impedance control  learning from demonstration  movement primitives (MPs)  
Transformers in computational visual media: A survey 期刊论文
Computational Visual Media, 2021, 卷号: 8, 期号: 1, 页码: 33-62
作者:  Xu,Yifan;  Wei,Huapeng;  Lin,Minxuan;  Deng,Yingying;  Sheng,Kekai;  Zhang,Mengdan;  Tang,Fan;  Dong,Weiming;  Huang,Feiyue;  Xu,Changsheng
Adobe PDF(5366Kb)  |  收藏  |  浏览/下载：287/37  |  提交时间：2021/12/28
visual transformer  computational visual media (CVM)  high-level vision  low-level vision  image generation  multi-modal learning