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
9 papers · 1 filter
Diverse Instance Generation via Diffusion Models for Enhanced Few-Shot Object Detection in Remote Sensing Images
Yanxing Liu, Jiancheng Pan, Jianwei Yang +3
Few-shot object detection (FSOD) aims to detect novel instances with only a limited number of labeled training samples, presenting a challenge that is particularly prominent in num…
Observation of nonlinear higher-order topological insulators with unconventional boundary truncations
Changming Huang, Alexander V. Kireev, Yuxin Jiang +10
In higher-order topological insulators (HOTIs), topologically nontrivial phases are usually associated with the shift of Wannier centers to topologically nontrivial positions on th…
Observation of nonlinear topological corner states originating from different spectral charges
Victor O. Kompanets, Suge Feng, Yiqi Zhang +11
Higher-order topological insulators (HOTIs) are unique topological materials supporting edge states with the dimensionality at least by two lower than the dimensionality of the und…
IRSAMap:Towards Large-Scale, High-Resolution Land Cover Map Vectorization
Yu Meng, Ligao Deng, Zhihao Xi +9
With the enhancement of remote sensing image resolution and the rapid advancement of deep learning, land cover mapping is transitioning from pixel-level segmentation to object-base…
ARSAR-Net: Adaptively Regularized SAR Imaging Network with Efficient Unfolding
Shiping Fu, Yufan Chen, Zhe Zhang +1
Developed from sparse reconstruction approaches, deep unfolding networks (DUNs) have constituted an emerging method for synthetic aperture radar (SAR) imaging, offering fast conver…
APCoTTA: Continual Test-Time Adaptation for Semantic Segmentation of Airborne LiDAR Point Clouds
Yuan Gao, Shaobo Xia, Sheng Nie +3
Airborne laser scanning (ALS) point cloud semantic segmentation is a fundamental task for large-scale 3D scene understanding. Fixed models deployed in real-world scenarios often su…
LiDAR Remote Sensing Meets Weak Supervision: Concepts, Methods, and Perspectives
Yuan Gao, Shaobo Xia, Pu Wang +3
Light detection and ranging (LiDAR) remote sensing encompasses two major directions: data interpretation and parameter inversion. However, both directions rely heavily on costly an…
A Survey of Sample-Efficient Deep Learning for Change Detection in Remote Sensing: Tasks, Strategies, and Challenges
Lei Ding, Danfeng Hong, Maofan Zhao +6
In the last decade, the rapid development of deep learning (DL) has made it possible to perform automatic, accurate, and robust Change Detection (CD) on large volumes of Remote Sen…
Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention
Shanwen Wang, Xin Sun, Changrui Chen +2
Semi-supervised learning offers an appealing solution for remote sensing (RS) image segmentation to relieve the burden of labor-intensive pixel-level labeling. However, RS images p…