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DA-CapsNet: A multi-branch capsule network based on adversarial domain adaption for cross-subject EEG emotion recognition 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2024, 卷号: 283, 页码: 12
作者:  Liu, Shuaiqi;  Wang, Zeyao;  An, Yanling;  Li, Bing;  Wang, Xinrui;  Zhang, Yudong
收藏  |  浏览/下载：53/0  |  提交时间：2024/02/22
EEG emotion recognition  Capsule network  Adversarial domain adaptation  Transfer learning  
Depth-Guided Vision Transformer With Normalizing Flows for Monocular 3D Object Detection 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 673-689
作者:  Cong Pan;  Junran Peng;  Zhaoxiang Zhang
Adobe PDF(37784Kb)  |  收藏  |  浏览/下载：76/22  |  提交时间：2024/02/19
Monocular 3D object detection  normalizing flows  Swin Transformer  
Advancements in Humanoid Robots: A Comprehensive Review and Future Prospects 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 301-328
作者:  Yuchuang Tong;  Haotian Liu;  Zhengtao Zhang
Adobe PDF(7587Kb)  |  收藏  |  浏览/下载：132/31  |  提交时间：2024/01/23
Future trends and challenges  humanoid robots  human-robot interaction  key technologies  potential applications  
Exploring Explicitly Disentangled Features for Domain Generalization 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 11, 页码: 6360-6373
作者:  Li, Jingwei;  Li, Yuan;  Wang, Huanjie;  Liu, Chengbao;  Tan, Jie
Adobe PDF(2432Kb)  |  收藏  |  浏览/下载：116/9  |  提交时间：2023/12/21
Domain generalization  feature disentanglement  Fourier transform  data augmentation  
A Survey on Reinforcement Learning Methods in Bionic Underwater Robots 期刊论文
BIOMIMETICS, 2023, 卷号: 8, 期号: 2, 页码: 29
作者:  Tong, Ru;  Feng, Yukai;  Wang, Jian;  Wu, Zhengxing;  Tan, Min;  Yu, Junzhi
Adobe PDF(1260Kb)  |  收藏  |  浏览/下载：132/15  |  提交时间：2023/11/17
bionic underwater robot  reinforcement learning  robotic fish  intelligent control  
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
Adobe PDF(2630Kb)  |  收藏  |  浏览/下载：82/2  |  提交时间：2023/11/17
Adaptive recognition model  interday and interuser  locomotion mode recognition  lower limb robotic prostheses  template generation  
Self-Supervised Monocular Depth Estimation With Geometric Prior and Pixel-Level Sensitivity 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 3, 页码: 2244-2256
作者:  Liu, Jierui;  Cao, Zhiqiang;  Liu, Xilong;  Wang, Shuo;  Yu, Junzhi
Adobe PDF(8291Kb)  |  收藏  |  浏览/下载：151/9  |  提交时间：2023/11/17
Estimation  Costs  Training  Sensitivity  Cameras  Optical flow  Semantics  Monocular depth estimation  self-supervised learning  prior feature consistency  sensitivity adaptation  
Wave-Like Class Activation Map With Representation Fusion for Weakly-Supervised Semantic Segmentation 期刊论文
IEEE Transactions on Multimedia, 2024, 卷号: 26, 页码: 581-592
作者:  Xu RT(许镕涛);  Wang CW(王常维);  Xu SB(徐士彪);  Meng WL(孟维亮);  Zhang XP(张晓鹏)
Adobe PDF(6463Kb)  |  收藏  |  浏览/下载：511/77  |  提交时间：2023/05/04
Class activation map  representation fusion  wave function  weakly supervised semantic segmentation  
Motion Learning and Rapid Generalization for Musculoskeletal Systems Based on Recurrent Neural Network Modulated by Initial States 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2022, 卷号: 14, 期号: 4, 页码: 1691-1704
作者:  Wang, Xiaona;  Chen, Jiahao;  Qiao, Hong
Adobe PDF(2080Kb)  |  收藏  |  浏览/下载：146/16  |  提交时间：2023/03/20
Muscles  Recurrent neural networks  Mathematical models  Bio-inspired control  Robot kinematics  Tendons  Musculoskeletal system  Biologically inspired control  motor cortex  movement preparation  musculoskeletal system  recurrent neural network (RNN)  
A Parallel Teacher for Synthetic-to-Real Domain Adaptation of Traffic Object Detection 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2022, 卷号: 7, 期号: 3, 页码: 441-455
作者:  Wang, Jiangong;  Shen, Tianyu;  Tian, Yonglin;  Wang, Yutong;  Gou, Chao;  Wang, Xiao;  Yao, Fei;  Sun, Changyin
Adobe PDF(2602Kb)  |  收藏  |  浏览/下载：310/71  |  提交时间：2022/11/28
Object detection  Feature extraction  Data models  Training  Knowledge engineering  Detectors  Computational modeling  Computer vision  Unsupervised Domain Adaptation  Teacher-student learning  Traffic object detection