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浏览/检索结果:
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资助机构:National Natural Science Foundation of China
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A Graph Robot Network for Force Observer of Teleoperation Systems
期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2024, 页码: 11
作者:
Pan, Ming-Zhang
;
Li, Jing-Ao
;
Li, Zhen
;
Liang, Kun
;
Su, Tie-Cheng
;
Liang, Ke
;
Bian, Gui-Bin
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/07/22
Deep learning
force observer
master-slave robot
teleoperation system
CGNN: A Compatibility-aware Graph Neural Network for Social Media Bot Detection
期刊论文
IEEE Transactions on Computational Social System, 2024, 页码: Early Access
作者:
Huang, Haitao
;
Tian, Hu
;
Zheng, Xiaolong
;
Zhang, Xingwei
;
Zeng, Dajun
;
Wang, Feiyue
Adobe PDF(2267Kb)
  |  
收藏
  |  
浏览/下载:33/14
  |  
提交时间:2024/07/08
graph neural network
heterogeneous compatibility
social media bot detection
WATCHER: Wavelet-Guided Texture-Content Hierarchical Relation Learning for Deepfake Detection
期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2024, 页码: 22
作者:
Wang, Yuan
;
Chen, Chen
;
Zhang, Ning
;
Hu, Xiyuan
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2024/07/04
Face forgery detection
Texture features
Attention maps learning
Relation-aware feature fusion
Multi-Stage Image-Language Cross-Generative Fusion Network for Video-Based Referring Expression Comprehension
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 卷号: 33, 页码: 3256-3270
作者:
Zhang, Yujia
;
Li, Qianzhong
;
Pan, Yi
;
Zhao, Xiaoguang
;
Tan, Min
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2024/07/03
Feature extraction
Visualization
Task analysis
Representation learning
Location awareness
Linguistics
Grounding
Video-based referring expression comprehension
multi-stage learning
image-language cross-generative fusion
consistency loss
Lightweight robotic grasping detection network based on dual attention and inverted residual
期刊论文
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2024, 页码: 9
作者:
Yang, Yuequan
;
Li, Wei
;
Cao, Zhiqiang
;
Bao, Jiatong
;
Li, Fudong
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2024/07/03
Robotic grasping
lightweight network
attention strategy
inverted residual
pixel-level
SASOD: Saliency-Aware Ship Object Detection in High-Resolution Optical Images
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 15
作者:
Ren, Zhida
;
Tang, Yongqiang
;
Yang, Yang
;
Zhang, Wensheng
Adobe PDF(5807Kb)
  |  
收藏
  |  
浏览/下载:30/5
  |  
提交时间:2024/07/03
ship detection
Saliency detection
high-resolution optical images
remote sensing
Deep learning
Feature extraction
Marine vehicles
Object detection
Remote sensing
Optical sensors
Optical imaging
saliency detection
Super Sparse 3D Object Detection
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 10, 页码: 12490-12505
作者:
Fan, Lue
;
Yang, Yuxue
;
Wang, Feng
;
Wang, Naiyan
;
Zhang, Zhaoxiang
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2024/07/03
Feature extraction
Detectors
Point cloud compression
Three-dimensional displays
Proposals
Object detection
Laser radar
3D object detection
autonomous driving
instance segmentation
LiDAR
point clustering
sparse
temporal fusion
waymo open dataset
Deep learning-based low overlap point cloud registration for complex scenario: The review
期刊论文
INFORMATION FUSION, 2024, 卷号: 107, 页码: 23
作者:
Zhao, Yuehua
;
Zhang, Jiguang
;
Xu, Shibiao
;
Ma, Jie
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2024/07/03
Point cloud registration
Low overlap
Dataset construction
Deep learning-based
Survey
PreSTNet: Pre-trained Spatio-Temporal Network for traffic forecasting
期刊论文
INFORMATION FUSION, 2024, 卷号: 106, 页码: 13
作者:
Fang, Shen
;
Ji, Wei
;
Xiang, Shiming
;
Hua, Wei
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2024/07/03
Traffic forecasting
Spatio-temporal graph neural network
Pre-training
Extracting Muscle Geometrical Features With a Fabric-Based Wearable Sensor for Human Motion Intent Recognition
期刊论文
IEEE/ASME Transactions on Mechatronics, 2024, 页码: 1-11
作者:
Zheng EH(郑恩昊)
;
Jiacheng Wan
;
Nanxing Hu
;
Qining Wang
Adobe PDF(2867Kb)
  |  
收藏
  |  
浏览/下载:42/20
  |  
提交时间:2024/06/25
Sensors
Robot sensing systems
Muscles
Wearable sensors
Shape
Force
Feature extraction
Fabric-based sensors
human motion recognition
muscle features
wearable sensing