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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