受强制性开放获取政策约束的文章 - Liang Wang了解详情
无法在其他位置公开访问的文章:20 篇
A convex relaxation optimization algorithm for multi-camera calibration with 1D objects
L Wang, W Wang, C Shen, F Duan
Neurocomputing 215, 82-89, 2016
强制性开放获取政策: 中国科学院, 国家自然科学基金委员会
Energy-based multi-plane detection from 3D point clouds
L Wang, C Shen, F Duan, P Guo
Neural Information Processing: 23rd International Conference, ICONIP 2016 …, 2016
强制性开放获取政策: 国家自然科学基金委员会
Energy-based automatic recognition of multiple spheres in three-dimensional point cloud
L Wang, C Shen, F Duan, K Lu
Pattern Recognition Letters 83, 287-293, 2016
强制性开放获取政策: 国家自然科学基金委员会
An adaptively weighted algorithm for camera calibration with 1D objects
L Wang, F Duan, K Lu
Neurocomputing 149, 1552-1559, 2015
强制性开放获取政策: 中国科学院, 国家自然科学基金委员会
An improved YOLO V5-based algorithm of safety helmet wearing detection
L Sun, L Wang
2022 34th Chinese Control and Decision Conference (CCDC), 2030-2035, 2022
强制性开放获取政策: 国家自然科学基金委员会
Robust and real-time outdoor localization only with a single 2-D LiDAR
L Wang, Z Liu, H Li
IEEE sensors journal 22 (24), 24516-24525, 2022
强制性开放获取政策: 国家自然科学基金委员会
Light field depth estimation using occlusion-aware consistency analysis
X Wang, W Chao, L Wang, F Duan
The Visual Computer 39 (8), 3441-3454, 2023
强制性开放获取政策: 国家自然科学基金委员会
Recovering the Manhattan Frame from a single RGB-D image by using orientation relevance
Z Wu, L Wang
2017 29th Chinese Control And Decision Conference (CCDC), 4574-4579, 2017
强制性开放获取政策: 国家自然科学基金委员会
Fast single image dehazing using morphological reconstruction and saturation compensation
S Zheng, L Wang
International Conference on Multimedia Modeling, 493-504, 2022
强制性开放获取政策: 国家自然科学基金委员会
Robust orientation estimation from only a plane and a line in Manhattan world
L Wang, D Zhao
2022 34th Chinese Control and Decision Conference (CCDC), 5060-5065, 2022
强制性开放获取政策: 国家自然科学基金委员会
A graphical convolutional network-based method for 3d point cloud classification
L Wang, J Li, D Fan
2021 33rd Chinese Control and Decision Conference (CCDC), 1686-1691, 2021
强制性开放获取政策: 国家自然科学基金委员会
UDenseNet: A universal dense convolutional network for image recognition
L Wang, C Zhao, L Shao, Y Wu
Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 209-221, 2020
强制性开放获取政策: 国家自然科学基金委员会
Semantic line detection using deep-hough with attention mechanism and strip convolution
H Zhang, H Li, L Wang
International Conference on Neural Information Processing, 139-152, 2023
强制性开放获取政策: 国家自然科学基金委员会
Learning depth for multi-view stereo with adversarial training
L Wang, D Fan, J Li
2021 33rd Chinese Control and Decision Conference (CCDC), 1674-1679, 2021
强制性开放获取政策: 国家自然科学基金委员会
Extraction of Multi-class Multi-instance Geometric Primitives from Point Clouds Using Energy Minimization
L Wang, B Yan, F Duan, K Lu
MultiMedia Modeling: 26th International Conference, MMM 2020, Daejeon, South …, 2020
强制性开放获取政策: 国家自然科学基金委员会
Object-Oriented Semantic SLAM Based on Weighted Scoring of Pose Initialization
J Pan, L Wang
2023 China Automation Congress (CAC), 6126-6131, 2023
强制性开放获取政策: 国家自然科学基金委员会
A Bayesian-Based Improved Algorithm for Non-Rigid Structure Reconstruction
B Liu, L Wang
2023 China Automation Congress (CAC), 8671-8676, 2023
强制性开放获取政策: 国家自然科学基金委员会
A New Method for Single Image Rain Removal with Directional Gradient Constraints
Y Chen, L Wang
2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2023
强制性开放获取政策: 国家自然科学基金委员会
Multi-session Joint Optimization for Accurate Mapping
H Wang, H Li, L Wang
2021 China Automation Congress (CAC), 7354-7359, 2021
强制性开放获取政策: 国家自然科学基金委员会
FVL-OutLoc: Fusion of Vision and 2D LiDAR for Accurate Outdoor Localization
Z Liu, H Li, L Wang
2021 China Automation Congress (CAC), 7405-7410, 2021
强制性开放获取政策: 国家自然科学基金委员会
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