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Learning to Play Football from Sports Perspective: A Knowledge-embedded Deep Reinforcement Learning Framework 期刊论文
IEEE Transactions on Games, 2022, 页码: 12
作者:  Liu BY(刘博寅)
Adobe PDF(2957Kb)  |  收藏  |  浏览/下载：40/10  |  提交时间：2024/07/12
Improving Extreme Low-bit Quantization with Soft Threshold 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2022, 页码: 1549 - 1563
作者:  Xu WX(许伟翔);  Wang PS(王培松);  Cheng J(程健)
Adobe PDF(2414Kb)  |  收藏  |  浏览/下载：87/33  |  提交时间：2023/06/20
TR-GAN: Multi-session future MRI prediction with temporal recurrent generative adversarial network 期刊论文
IEEE Transactions on Medical Imaging, 2022, 卷号: vol. 41, 期号: no. 8, 页码: 1925-1937
作者:  Fan, Chen-Chen;  Peng, Liang;  Wang, Tian;  Yang, Hongjun;  Zhou, Xiao-Hu;  Ni, Zhen-Liang;  Wang, Guan’an;  Chen, Sheng;  Zhou, Yan-Jie;  Hou, Zeng-Guang
Adobe PDF(11092Kb)  |  收藏  |  浏览/下载：261/33  |  提交时间：2023/06/02
Alzheimer’s disease  magnetic resonance imaging  generative adversarial network  
Discrete soft actor-critic with auto-encoder on vascular robotic system 期刊论文
ROBOTICA, 2022, 页码: 12
作者:  Li, Hao;  Zhou, Xiao-Hu;  Xie, Xiao-Liang;  Liu, Shi-Qi;  Gui, Mei-Jiang;  Xiang, Tian-Yu;  Wang, Jin-Li;  Hou, Zeng-Guang
Adobe PDF(715Kb)  |  收藏  |  浏览/下载：287/9  |  提交时间：2023/01/09
surgical robots  vascular robotic system  automation  reinforcement learning  deep neural network  
Category-Level 6D Object Pose Estimation With Structure Encoder and Reasoning Attention 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 10, 页码: 6728-6740
作者:  Liu, Jierui;  Cao, Zhiqiang;  Tang, Yingbo;  Liu, Xilong;  Tan, Min
Adobe PDF(22124Kb)  |  收藏  |  浏览/下载：311/16  |  提交时间：2022/11/14
Shape  Three-dimensional displays  Cognition  Pose estimation  Feature extraction  Decoding  Solid modeling  Category-level  6D object pose estimation  structure encoder  reasoning attention  
TR-GAN: Multi-Session Future MRI Prediction With Temporal Recurrent Generative Adversarial Network 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2022, 卷号: 41, 期号: 8, 页码: 1925-1937
作者:  Fan, Chen-Chen;  Peng, Liang;  Wang, Tian;  Yang, Hongjun;  Zhou, Xiao-Hu;  Ni, Zhen-Liang;  Wang, Guan'an;  Chen, Sheng;  Zhou, Yan-Jie;  Hou, Zeng-Guang
收藏  |  浏览/下载：469/0  |  提交时间：2022/09/19
Magnetic resonance imaging  Generative adversarial networks  Task analysis  Three-dimensional displays  Training  Generators  Data models  Alzheimer's disease  magnetic resonance imaging  generative adversarial network  
Quantitative Assessment of Hand Motor Function for Post-Stroke Rehabilitation Based on HAGCN and Multimodality Fusion 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2022, 卷号: 30, 页码: 2032-2041
作者:  Li, Chenguang;  Yang, Hongjun;  Cheng, Long;  Huang, Fubiao;  Zhao, Shuang;  Li, Dongyue;  Yan, Ruxiu
Adobe PDF(3198Kb)  |  收藏  |  浏览/下载：498/54  |  提交时间：2022/09/19
Hemorrhaging  Thumb  Stroke (medical condition)  Kinematics  Feature extraction  Wrist  Correlation  Hand motor function  quantitative assessment  multi-modality fusion  graph convolutional network  
Development and Control of Underwater Gliding Robots: A Review 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 9, 页码: 1543-1560
作者:  Wang, Jian;  Wu, Zhengxing;  Dong, Huijie;  Tan, Min;  Yu Junzhi
Adobe PDF(183Kb)  |  收藏  |  浏览/下载：357/171  |  提交时间：2022/08/19
Buoyancy driven  motion control  oceanic applications  system development  underwater gliding robots  
A Review of the Methods on Cobb Angle Measurements for Spinal Curvature 期刊论文
SENSORS, 2022, 卷号: 22, 期号: 9, 页码: 19
作者:  Jin, Chen;  Wang, Shengru;  Yang, Guodong;  Li, En;  Liang, Zize
Adobe PDF(4721Kb)  |  收藏  |  浏览/下载：232/12  |  提交时间：2022/07/25
scoliosis  Cobb angle measurement  deep learning  image enhancement  
A nondestructive automatic defect detection method with pixelwise segmentation 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2022, 卷号: 242, 页码: 12
作者:  Yang, Lei;  Fan, Junfeng;  Huo, Benyan;  Li, En;  Liu, Yanhong
收藏  |  浏览/下载：226/0  |  提交时间：2022/06/10
Defect detection  Deep architecture  Image segmentation  Attention fusion  Residual dense connection convolution  network