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OA-Pose: Occlusion-aware monocular 6-DoF object pose estimation under geometry alignment for robot manipulation
Journal article
Wang, Jikun, Luo, Luqing, Liang, Weixiang, Yang, Zhi Xin. OA-Pose: Occlusion-aware monocular 6-DoF object pose estimation under geometry alignment for robot manipulation[J]. Pattern Recognition, 2024, 154, 110576.
Authors:
Wang, Jikun
;
Luo, Luqing
;
Liang, Weixiang
;
Yang, Zhi Xin
Favorite
|
TC[Scopus]:
3
IF:
7.5
/
7.6
|
Submit date:2024/06/05
Deep Learning
Dense Correspondence
Object Pose Estimation
Occlusion Scene
Robot Manipulation
TES-CVIDS: A Transmission Efficient Sub-Map Based Collaborative Dense VI-SLAM Framework
Journal article
Zhang, Tianjun, Zhang, Lin, Zhang, Fengyi, Zhao, Shengjie, Zhou, Yicong. TES-CVIDS: A Transmission Efficient Sub-Map Based Collaborative Dense VI-SLAM Framework[J]. IEEE Transactions on Intelligent Vehicles, 2024, 1-14.
Authors:
Zhang, Tianjun
;
Zhang, Lin
;
Zhang, Fengyi
;
Zhao, Shengjie
;
Zhou, Yicong
Favorite
|
TC[Scopus]:
1
IF:
14.0
/
11.2
|
Submit date:2024/05/16
Multi-agent,
Transmission Efficient
Dense Mapping
Visual-inertial Odometry
Dense Top-View Semantic Completion with Sparse Guidance and Online Distillation
Journal article
Gu, Shuo, Lu, Jiacheng, Yang, Jian, Xu, Chengzhong, Kong, Hui. Dense Top-View Semantic Completion with Sparse Guidance and Online Distillation[J]. IEEE Transactions on Intelligent Vehicles, 2023, 9(1), 481 - 491.
Authors:
Gu, Shuo
;
Lu, Jiacheng
;
Yang, Jian
;
Xu, Chengzhong
;
Kong, Hui
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
14.0
/
11.2
|
Submit date:2023/07/30
Computational Modeling
Convolution
Dense Top-view
Laser Radar
Online Distillation
Semantic Completion
Semantic Segmentation
Semantics
Sparse Guidance
Task Analysis
Three-dimensional Displays
Sparse-to-Dense Matching Network for Large-scale LiDAR Point Cloud Registration
Journal article
Lu,Fan, Chen,Guang, Liu,Yinlong, Zhan,Yibing, Li,Zhijun, Tao,Dacheng, Jiang,Changjun. Sparse-to-Dense Matching Network for Large-scale LiDAR Point Cloud Registration[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45(9), 11270-11282.
Authors:
Lu,Fan
;
Chen,Guang
;
Liu,Yinlong
;
Zhan,Yibing
;
Li,Zhijun
; et al.
Favorite
|
TC[WOS]:
9
TC[Scopus]:
12
IF:
20.8
/
22.2
|
Submit date:2023/08/03
Cloud Computing
Correspondence
Feature Extraction
Feature Matching
Filtering
Laser Radar
Lidar
Optimal Transport
Pipelines
Point Cloud Compression
Point Cloud Registration
Rigid
Sparse-to-dense
Three-dimensional Displays
Beam Management in Ultra-dense mmWave Network via Federated Reinforcement Learning: An Intelligent and Secure Approach
Journal article
Qing Xue, Yi-Jing Liu, Yao Sun, Wang, Jian, Li Yan, Gang Feng, Shaodan Ma. Beam Management in Ultra-dense mmWave Network via Federated Reinforcement Learning: An Intelligent and Secure Approach[J]. IEEE Transactions on Cognitive Communications and Networking, 2022, 9(1), 185-197.
Authors:
Qing Xue
;
Yi-Jing Liu
;
Yao Sun
;
Wang, Jian
;
Li Yan
; et al.
Favorite
|
TC[WOS]:
34
TC[Scopus]:
44
IF:
7.4
/
6.9
|
Submit date:2023/01/30
Beam Management
Millimeter Wave (mmWave) Communication
Ultra-dense Network
Federated Reinforcement Learning
CVIDS: A Collaborative Localization and Dense Mapping Framework for Multi-Agent Based Visual-Inertial SLAM
Journal article
Zhang, Tianjun, Zhang, Lin, Chen, Yang, Zhou, Yicong. CVIDS: A Collaborative Localization and Dense Mapping Framework for Multi-Agent Based Visual-Inertial SLAM[J]. IEEE Transactions on Image Processing, 2022, 31, 6562-6576.
Authors:
Zhang, Tianjun
;
Zhang, Lin
;
Chen, Yang
;
Zhou, Yicong
Favorite
|
TC[WOS]:
8
TC[Scopus]:
10
IF:
10.8
/
12.1
|
Submit date:2023/01/30
Dense Mapping
Monocular Camera Suite
Multi-agent
Visual-inertial Odometry
DSD-MatchingNet: Deformable Sparse-to-Dense Feature Matching for Learning Accurate Correspondences
Journal article
Zhao, Yicheng, Zhang, Han, Lu, Ping, Li, Ping, Wu, Enhua, Sheng, Bin. DSD-MatchingNet: Deformable Sparse-to-Dense Feature Matching for Learning Accurate Correspondences[J]. Virtual Reality and Intelligent Hardware, 2022, 4(5), 432-443.
Authors:
Zhao, Yicheng
;
Zhang, Han
;
Lu, Ping
;
Li, Ping
;
Wu, Enhua
; et al.
Favorite
|
TC[Scopus]:
5
A Principled Design of Image Representation: Towards Forensic Tasks
Journal article
Shuren Qi, Yushu Zhang, Chao Wang, Jiantao Zhou, Xiaochun Cao. A Principled Design of Image Representation: Towards Forensic Tasks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, 45(5), 5337-5354.
Authors:
Shuren Qi
;
Yushu Zhang
;
Chao Wang
;
Jiantao Zhou
;
Xiaochun Cao
Favorite
|
TC[WOS]:
9
TC[Scopus]:
10
IF:
20.8
/
22.2
|
Submit date:2022/09/14
Dense Invariant Representation
Image Forensics
Orthogonal Moments
Covariance
Fast Fourier Transform
User-Centric Association in Ultra-Dense mmWave Networks via Deep Reinforcement Learning
Journal article
Xue, Qing, Sun, Yao, Wang, Jian, Feng, Gang, Yan, Li, Ma, Shaodan. User-Centric Association in Ultra-Dense mmWave Networks via Deep Reinforcement Learning[J]. IEEE Communications Letters, 2021, 25(11), 3594-3598.
Authors: ; et al.
Favorite
|
TC[WOS]:
15
TC[Scopus]:
18
IF:
3.7
/
3.5
|
Submit date:2021/12/08
Deep Learning
Multiple Association
Ultra-dense Mmwave Network
User-centric
An End-to-End Dense-InceptionNet for Image Copy-Move Forgery Detection
Presentation
会议地点: 46th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 报告日期: 2021-05-01
Authors:
J.-L. Zhong
;
C.-M. Pun
Favorite
|
TC[WOS]:
88
TC[Scopus]:
125
|
Submit date:2022/08/26
Copy-move Forgery Detection
Deep Neural Network
Dense-inceptionnet