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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：39/6  |  提交时间：2024/06/04
dense pedestrian  detection  multi-object tracking  proximity graph  visualization  
DARTScore: DuAl-Reconstruction Transformer for Video Captioning Evaluation 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 4, 页码: 2041-2055
作者:  Chen, Yuxin;  Zhang, Ziqi;  Qi, Zhongang;  Yuan, Chunfeng;  Wang, Jie;  Shan, Ying;  Li, Bing;  Hu, Weiming;  Qie, Xiaohu;  Wu, Jianping
Adobe PDF(13765Kb)  |  收藏  |  浏览/下载：40/1  |  提交时间：2024/05/30
Chinese video captioning evaluation  dual-reconstruction transformer  
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：63/22  |  提交时间：2024/05/29
Weakly supervised object localization  intrinsic discrimination and consistency  deep metric learning  geometric transformation consistency  
Semantic-Context Graph Network for Point-Based 3D Object Detection 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 11, 页码: 6474-6486
作者:  Dong, Shuwei;  Kong, Xiaoyu;  Pan, Xingjia;  Tang, Fan;  Li, Wei;  Chang, Yi;  Dong, Weiming
收藏  |  浏览/下载：131/0  |  提交时间：2023/12/21
3D object detection  graph neural networks  information entanglement  
Multi-Correlation Siamese Transformer Network With Dense Connection for 3D Single Object Tracking 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2023, 卷号: 8, 期号: 12, 页码: 8066-8073
作者:  Feng, Shihao;  Liang, Pengpeng;  Gao, Jin;  Cheng, Erkang
Adobe PDF(2745Kb)  |  收藏  |  浏览/下载：127/8  |  提交时间：2023/12/21
3D object tracking  Point cloud  Transformer  
Seeing Through Darkness: Visual Localization at Night via Weakly Supervised Learning of Domain Invariant Features 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 1713-1726
作者:  Fan, Bin;  Yang, Yuzhu;  Feng, Wensen;  Wu, Fuchao;  Lu, Jiwen;  Liu, Hongmin
收藏  |  浏览/下载：119/0  |  提交时间：2023/11/17
Domain invariant local features  image matching  long-term visual localization  weakly supervised learning  
Joint Defocus Deblurring and Superresolution Learning Network for Autonomous Driving 期刊论文
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2023, 页码: 12
作者:  Wang, Rui;  Zhang, Chunjie;  Zheng, Xiaolong;  Lv, Yisheng;  Zhao, Yao
收藏  |  浏览/下载：123/0  |  提交时间：2023/11/16
Task analysis  Image reconstruction  Autonomous vehicles  Superresolution  Cameras  Visualization  Transformers  
Model Predictive Trajectory Tracking Control of an Underactuated Bionic Underwater Vehicle 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 页码: 12
作者:  Wang, Kaihui;  Zou, Wei;  Ma, Ruichen;  Wang, Yu;  Su, Hu
Adobe PDF(4065Kb)  |  收藏  |  浏览/下载：135/15  |  提交时间：2023/11/16
Bionic underwater vehicle (BUV)  model predictive control (MPC)  trajectory tracking  undulatory propulsion  
Reconfigurable Holographic Surface Aided Collaborative Wireless SLAM Using Federated Learning for Autonomous Driving 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 8, 页码: 4031-4046
作者:  Zhang, Haobo;  Yang, Ziang;  Tian, Yonglin;  Zhang, Hongliang;  Di, Boya;  Song, Lingyang
收藏  |  浏览/下载：105/0  |  提交时间：2023/11/16
Autonomous driving  federated learning  metasurface  reconfigurable holographic surface  simultaneous localization and mapping  
Learning to Assemble Noncylindrical Parts Using Trajectory Learning and Force Tracking 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2021, 页码: 12
作者:  Su, Jianhua;  Meng, Yan;  Wang, Lili;  Yang, Xu
Adobe PDF(4865Kb)  |  收藏  |  浏览/下载：365/63  |  提交时间：2022/01/27
Force  Trajectory  Robots  Task analysis  Hidden Markov models  Impedance  Training  Assembly skill  impedance control  learning from demonstration  movement primitives (MPs)