UM

Browse/Search Results:  1-8 of 8 Help

Selected(0)Clear Items/Page:    Sort:
Computer Vision Based Link Scheduling in mmWave Multi-Hop V2X Communications Conference paper
Xu, Weihua, Gao, Feifei, Xing, Ling, Ma, Shaodan, Tao, Xiaoming. Computer Vision Based Link Scheduling in mmWave Multi-Hop V2X Communications[C]:IEEE, 2024.
Authors:  Xu, Weihua;  Gao, Feifei;  Xing, Ling;  Ma, Shaodan;  Tao, Xiaoming
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date:2024/08/05
3d Detection  Computer Vision  Link Scheduling  Multi-hop Latency  V2x Communications  
Walk in Views: Multi-view Path Aggregation Graph Network for 3D Shape Analysis Journal article
Xu, Lixiang, Cui, Qingzhe, Xu, Wei, Chen, Enhong, Tong, He, Tang, Yuanyan. Walk in Views: Multi-view Path Aggregation Graph Network for 3D Shape Analysis[J]. Information Fusion, 2024, 103, 102131.
Authors:  Xu, Lixiang;  Cui, Qingzhe;  Xu, Wei;  Chen, Enhong;  Tong, He; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:14.7/16.1 | Submit date:2024/04/02
3d Shape Analysis  Graph Networks  Multi-view Fusion  Path Aggregation  Vision Transformer  
Improving deep learning on point cloud by maximizing mutual information across layers Journal article
Wang, Di, Tang, Lulu, Wang, Xu, Luo, Luqing, Yang, Zhi Xin. Improving deep learning on point cloud by maximizing mutual information across layers[J]. Pattern Recognition, 2022, 131, 108892.
Authors:  Wang, Di;  Tang, Lulu;  Wang, Xu;  Luo, Luqing;  Yang, Zhi Xin
Favorite | TC[WOS]:8 TC[Scopus]:9  IF:7.5/7.6 | Submit date:2022/08/02
Deep Learning  3d Vision  Point Clouds  Mutual Information  
InfoPCT: Mutual Information Maximization based Point Cloud Transformer Conference paper
Wang, Di, Yang, Zhixin. InfoPCT: Mutual Information Maximization based Point Cloud Transformer[C], 2022, 17-21.
Authors:  Wang, Di;  Yang, Zhixin
Favorite | TC[Scopus]:2 | Submit date:2022/08/05
3d Computer Vision  Deep Learning  Mutual Information Maximization  Point Cloud Transformer  
PU-EVA: An Edge-Vector based Approximation Solution for Flexible-scale Point Cloud Upsampling Conference paper
Luqing Luo, Lulu Tang, Wanyi Zhou, Shizheng Wang, Zhi-Xin Yang. PU-EVA: An Edge-Vector based Approximation Solution for Flexible-scale Point Cloud Upsampling[C]:IEEE, 2021, 16188-16197.
Authors:  Luqing Luo;  Lulu Tang;  Wanyi Zhou;  Shizheng Wang;  Zhi-Xin Yang
Favorite | TC[WOS]:14 TC[Scopus]:27 | Submit date:2022/05/13
Vision For Robotics And Autonomous Vehicles  Low-level And Physics-based Vision , Stereo  3d From Multiview And Other Sensors  
Embedding 3D models in offline physical environments Journal article
Egemen Ertugrul, Han Zhang, Fang Zhu, Ping Lu, Ping Li, Bin Sheng, Enhua Wu. Embedding 3D models in offline physical environments[J]. COMPUTER ANIMATION AND VIRTUAL WORLDS, 2020, 31(4-5), e1959.
Authors:  Egemen Ertugrul;  Han Zhang;  Fang Zhu;  Ping Lu;  Ping Li; et al.
Favorite | TC[WOS]:11 TC[Scopus]:15  IF:0.9/1.1 | Submit date:2021/12/06
3d Data Compression  Augmented Reality  Autoencoders  Human–computer Interaction  Robotics And Vision  Ubiquitous Computing  Volume Rendering  
Tensor Completion based 3D Reconstruction of Binocular Stereo Vision Conference paper
Liu,Ze Hua, Rong,Hai Jun, Yang,Zhao Xu, Yang,Zhi Xin. Tensor Completion based 3D Reconstruction of Binocular Stereo Vision[C], 2019, 968-972.
Authors:  Liu,Ze Hua;  Rong,Hai Jun;  Yang,Zhao Xu;  Yang,Zhi Xin
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/03/11
3d Reconstruction  Binocular Stereo Vision  Tensor Completion  
Metric measurements of 3D object features by a moving camera Conference paper
Chen H.Y., Li Y.F.. Metric measurements of 3D object features by a moving camera[C], 2004, 498-503.
Authors:  Chen H.Y.;  Li Y.F.
Favorite |  | Submit date:2019/04/08
3D measurement  Best focused location  Moving camera  Robot vision  Visual feature