中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共194条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network With Graph Representation Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 14
作者:  Qi, Xingqun;  Sun, Muyi;  Wang, Zijian;  Liu, Jiaming;  Li, Qi;  Zhao, Fang;  Zhang, Shanghang;  Shan, Caifeng
Adobe PDF(6718Kb)  |  收藏  |  浏览/下载：74/29  |  提交时间：2024/02/22
Face photo-sketch synthesis  generative adversarial network  graph representation learning  intraclass and interclass  iterative cycle training (ICT)  
Gaze Point Tracking Based on a Robotic Body-Head-Eye Coordination Method 期刊论文
SENSORS, 2023, 卷号: 23, 期号: 14, 页码: 37
作者:  Feng, Xingyang;  Wang, Qingbin;  Cong, Hua;  Zhang, Yu;  Qiu, Mianhao
收藏  |  浏览/下载：51/0  |  提交时间：2023/11/16
bionic eyes  gaze point tracking  gaze point approaching  body-eye-head coordination  3D coordinates  
A Flexible Traffic Signal Coordinated Control Approach and System on Complicated Transportation Control Infrastructure 期刊论文
SENSORS, 2023, 卷号: 23, 期号: 13, 页码: 17
作者:  Chen, Songhang;  Shang, Chunlin;  Zhu, Fenghua
收藏  |  浏览/下载：60/0  |  提交时间：2023/11/17
regional traffic signal control  transportation control infrastructure  flexible  universal adaptability  
A Collision-Free Planning and Control Framework for a Biomimetic Underwater Vehicle in Dynamic Environments 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 卷号: 28, 期号: 3, 页码: 1415 - 1424
作者:  Lv, Jiaqi;  Wang, Yu;  Wang, Shuo;  Bai, Xuejian;  Wang, Rui;  Tan, Min
Adobe PDF(3810Kb)  |  收藏  |  浏览/下载：316/68  |  提交时间：2023/02/22
Arctangent nonsingularity terminal sliding mode (ANTSM) control  biomimetic underwater vehicle (BUV)  collision-free in dynamic environments  fuzzy artificial potential field (FAPF) planning  robots  
Model-based event-triggered pursing and surrounding control for a multi-robotic fish system 期刊论文
IEEE Robotics and Automation Letters, 2023, 卷号: 8, 期号: 6, 页码: 3788-3795
作者:  Dai, Shijie(戴时捷);  Zhengxing Wu;  Sijie Li;  Jian Wang;  Min Tan;  Junzhi Yu
Adobe PDF(2248Kb)  |  收藏  |  浏览/下载：143/53  |  提交时间：2023/06/15
Quantifying the Leaping Motion Using a Self-Propelled Bionic Robotic Dolphin Platform 期刊论文
Biomimetics, 2023, 卷号: 8, 页码: 21
作者:  Junzhi Yu;  Tianzhu Wang;  Di Chen;  Yan Meng
Adobe PDF(1545Kb)  |  收藏  |  浏览/下载：103/34  |  提交时间：2023/09/21
robotic dolphin  leaping motion  dynamic model  motion analysis  
Can Digital Intelligence and Cyber-Physical-Social Systems Achieve Global Food Security and Sustainability? 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2070-2080
作者:  Yanfen Wang;  Mengzhen Kang;  Yali Liu;  Juanjuan Li;  Kai Xue;  Xiujuan Wang;  Jianqing Du;  Yonglin Tian;  Qinghua Ni;  Fei-Yue Wang
Adobe PDF(9632Kb)  |  收藏  |  浏览/下载：183/107  |  提交时间：2023/09/22
Carbon-water balance  decision-support  digital intelligence (DI)  foundation models  planning  
Autonomous Skill Learning of Water Polo Ball Heading for a Robotic Fish: Curriculum and Verification 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2023, 卷号: 15, 期号: 2, 页码: 865 - 876
作者:  Zhang Tiandong;  Wang Rui;  Wang Shuo;  Wang Yu;  Cheng Long;  Zheng Gang;  Tan Min
Adobe PDF(3052Kb)  |  收藏  |  浏览/下载：109/38  |  提交时间：2023/06/14
Multiexperience-Assisted Efficient Multiagent Reinforcement Learning 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2023, 页码: 1-15
作者:  Zhang TL(张天乐);  Liu Z(刘振);  Yi JQ(易建强);  Wu SG(吴士广);  Pu ZQ(蒲志强);  Zhao YJ(赵彦杰)
Adobe PDF(2718Kb)  |  收藏  |  浏览/下载：231/85  |  提交时间：2023/06/02
Network-Wide Traffic Signal Control Based on MARL With Hierarchical Nash-Stackelberg Game Model 期刊论文
IEEE ACCESS, 2023, 卷号: 11, 页码: 145085-145100
作者:  Shen, Hui;  Zhao, Hongxia;  Zhang, Zundong;  Yang, Xun;  Song, Yutong;  Liu, Xiaoming
收藏  |  浏览/下载：13/0  |  提交时间：2024/02/22
Games  Roads  Approximation algorithms  Q-learning  Multi-agent systems  Process control  Optimization  Reinforcement learning  Traffic control  Network-wide traffic signal control  hierarchical game model  multi-agent reinforcement learning