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Two-particle Debris Flow Simulation Based on SPH 期刊论文
Computer Animation and Virtual Worlds, 2024, 卷号: 35, 期号: 3, 页码: 1-17
作者:  Zhang JX(张佳岫);  Yang M(杨猛);  Xiaomin Li;  Qunou Jiang;  Heng Zhang;  Meng WL(孟维亮)
Adobe PDF(4962Kb)  |  收藏  |  浏览/下载：41/18  |  提交时间：2024/06/04
debris flow  GPU acceleration  natural disaster simulation  SPH  
SocialVis: Dynamic Social Visualization in Dense Scenes via Real-time Multi-Object Tracking and Proximity Graph Construction 期刊论文
Computer Animation and Virtual Worlds, 2024, 卷号: 35, 期号: 3, 页码: 1-15
作者:  Li BW(李博文);  Li W(李巍);  Wang JQ(王镜淇);  Meng WL(孟维亮);  Zhang JG(张吉光);  Zhang XP(张晓鹏)
Adobe PDF(2914Kb)  |  收藏  |  浏览/下载：52/9  |  提交时间：2024/06/04
dense pedestrian  detection  multi-object tracking  proximity graph  visualization  
Exploring Intrinsic Discrimination and Consistency for Weakly Supervised Object Localization 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 卷号: 33, 期号: 0, 页码: 1045 - 1058
作者:  Changwei Wang;  Rongtao Xu;  Shibiao Xu;  Weiliang Meng;  Ruisheng Wang;  Xiaopeng Zhang
Adobe PDF(3269Kb)  |  收藏  |  浏览/下载：69/24  |  提交时间：2024/05/29
Weakly supervised object localization  intrinsic discrimination and consistency  deep metric learning  geometric transformation consistency  
Hierarchical Distribution-Based Tightly-Coupled LiDAR Inertial Odometry 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 1, 页码: 1423-1435
作者:  Wang, Chengpeng;  Cao, Zhiqiang;  Li, Jianjie;  Yu, Junzhi;  Wang, Shuo
Adobe PDF(3553Kb)  |  收藏  |  浏览/下载：58/15  |  提交时间：2024/05/28
3D LiDAR inertial odometry,  distribution  filtering  optimization  point cloud constraint degeneration  
General vs. Long-Tailed Age Estimation: An Approach to Kill Two Birds With One Stone 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 6155-6167
作者:  Bao, Zenghao;  Tan, Zichang;  Li, Jun;  Wan, Jun;  Ma, Xibo;  Lei, Zhen
Adobe PDF(1634Kb)  |  收藏  |  浏览/下载：61/3  |  提交时间：2024/02/22
General age estimation  long-tailed age estimation  class-wise mean absolute error  
Bionic Underwater Vehicle: A Data-Driven Disturbance Rejection Control Framework 期刊论文
IEEE ROBOTICS & AUTOMATION MAGAZINE, 2023, 卷号: 31, 期号: 1, 页码: 18-28
作者:  Wang, Kaihui;  Zou, Wei;  Ma, Ruichen;  Lv, Jiaqi;  Su, Hu;  Wang, Yu;  Ma, Hongxuan
Adobe PDF(2970Kb)  |  收藏  |  浏览/下载：93/14  |  提交时间：2024/02/22
Vehicle dynamics  Robots  Propulsion  Predictive models  Biological system modeling  Robustness  Disturbance observers  
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：121/19  |  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  
SMNet: Synchronous Multi-Scale Low Light Enhancement Network With Local and Global Concern 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 9506-9517
作者:  Lin, Shideng;  Tang, Fan;  Dong, Weiming;  Pan, Xingjia;  Xu, Changsheng
收藏  |  浏览/下载：53/0  |  提交时间：2024/02/21
Low-light image enhancement  multi-scale feature learning  deep-learning  
Adaptive Long-Neck Network With Atrous-Residual Structure for Instance Segmentation 期刊论文
IEEE SENSORS JOURNAL, 2023, 卷号: 23, 期号: 7, 页码: 7786-7797
作者:  Geng, Wenjie;  Cao, Zhiqiang;  Guan, Peiyu;  Ren, Guangli;  Yu, Junzhi;  Jing, Fengshui
收藏  |  浏览/下载：160/0  |  提交时间：2023/11/17
Adaptive long-neck (ALN) network  atrous-residual structure  instance segmentation  
sEMG-Based Gesture Recognition Method for Coal Mine Inspection Manipulator Using Multistream CNN 期刊论文
IEEE SENSORS JOURNAL, 2023, 卷号: 23, 期号: 10, 页码: 11082-11090
作者:  Tong, Lina;  Zhang, Mingjia;  Ma, Hanghang;  Wang, Chen;  Peng, Liang
Adobe PDF(2841Kb)  |  收藏  |  浏览/下载：132/21  |  提交时间：2023/11/17
Sensors  Muscles  Inspection  Coal mining  Robots  Feature extraction  Gesture recognition  Coal mine inspection manipulator  gestures recognition  multistream convolutional neural network (CNN)  surface electromyography (sEMG)  time--frequency graph feature