1.7k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of SciencesCN81 papers
- University of Chinese Academy of SciencesCN44 papers
- Centre National de la Recherche ScientifiqueFR12 papers
- Institut polytechnique de GrenobleFR12 papers
- Université Grenoble AlpesFR12 papers
- GIPSA-LabFR8 papers
- Laboratoire Jean KuntzmannFR6 papers
- Xi'an Jiaotong UniversityCN6 papers
- Chongqing UniversityCN5 papers
- Institut national de recherche en sciences et technologies du numériqueFR5 papers
- International Research Center of Big Data for Sustainable Development GoalsCN5 papers
- Tsinghua UniversityCN5 papers
6 papers · 1 filter
Oriented Objects as pairs of Middle Lines
Haoran Wei, Yue Zhang, Zhonghan Chang +3
The detection of oriented objects is frequently appeared in the field of natural scene text detection as well as object detection in aerial images. Traditional detectors for orient…
Relational Learning for Joint Head and Human Detection
Cheng Chi, Shifeng Zhang, Junliang Xing +3
Head and human detection have been rapidly improved with the development of deep convolutional neural networks. However, these two tasks are often studied separately without consid…
PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes
Cheng Chi, Shifeng Zhang, Junliang Xing +3
Pedestrian detection in crowded scenes is a challenging problem, because occlusion happens frequently among different pedestrians. In this paper, we propose an effective and effici…
Directionally Constrained Fully Convolutional Neural Network For Airborne Lidar Point Cloud Classification
Congcong Wen, Lina Yang, Ling Peng +2
Point cloud classification plays an important role in a wide range of airborne light detection and ranging (LiDAR) applications, such as topographic mapping, forest monitoring, pow…
NPSA: Nonorthogonal Principal Skewness Analysis
Xiurui Geng, Lei Wang
Principal skewness analysis (PSA) has been introduced for feature extraction in hyperspectral imagery. As a third-order generalization of principal component analysis (PCA), its so…
What, Where and How to Transfer in SAR Target Recognition Based on Deep CNNs
Zhongling Huang, Zongxu Pan, Bin Lei
Deep convolutional neural networks (DCNNs) have attracted much attention in remote sensing recently. Compared with the large-scale annotated dataset in natural images, the lack of…