34 citations · 79 across the 19 of their papers we have counts for
21 papers
HiRS-Agent: A Hierarchical Multi-Agent System for Reliable Long-Horizon Remote Sensing Task Solving
Boyang Mu, Zhiwei Wei, Mugen Peng +1
Recent advances in large language models and multimodal models have pushed remote sensing (RS) processing from simple perception models to agentic systems designed to tackle comple…
GeoChrono: Benchmarking and Rethinking Long-Term Temporal Understanding in Remote Sensing
Yujie Li, Jiancheng Pan, Zhiwei Wei +3
Remote sensing offers an unparalleled vantage point for observing the Earth's long-term surface evolution, yet it demands that a model not only perceive land cover at isolated mome…
Self in Space: Benchmarking Self-Awareness and Spatial Cognition in UAV Embodied Intelligence
Zhishan Zou, Guoyan Sun, Zhiwei Wei +4
Autonomous UAV systems increasingly rely on multimodal large language models (MLLMs) to operate in complex real-world environments. Such embodied scenarios require not only underst…
BTCChat: Advancing Remote Sensing Bi-temporal Change Captioning with Multimodal Large Language Model
Yujie Li, Wenjia Xu, Yuanben Zhang +2
Bi-temporal satellite imagery supports critical applications such as urbanization monitoring and disaster assessment. Although powerful multimodal large language models~(MLLMs) hav…
MapColorAI: Designing Contextually Relevant Choropleth Map Color Schemes Using a Large Language Model
Nai Yang, Yijie Wang, Fan Wu +1
Choropleth maps, which utilize color schemes to visualize spatial patterns and trends, are simple yet effective tools for geographic data analysis. As such, color scheme design is…
TS-SatMVSNet: Slope Aware Height Estimation for Large-Scale Earth Terrain Multi-view Stereo
Song Zhang, Zhiwei Wei, Wenjia Xu +4
3D terrain reconstruction with remote sensing imagery achieves cost-effective and large-scale earth observation and is crucial for safeguarding natural disasters, monitoring ecolog…
UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models
Yujie Li, Wenjia Xu, Guangzuo Li +4
The domain gap between remote sensing imagery and natural images has recently received widespread attention and Vision-Language Models (VLMs) have demonstrated excellent generaliza…
Using a negative spatial auto-correlation index to evaluate and improve intrinsic TagMap's multi-scale visualization capabilities
Zhiwei Wei, Nai Yang
The popularity of tag clouds has sparked significant interest in the geographic research community, leading to the development of map-based adaptations known as intrinsic tag maps.…
Optimized 3D Point Labeling with Leaders Using the Beams Displacement Method
Zhiwei Wei, Nai Yang, Wenjia Xu +4
In three-dimensional geographical scenes, adding labels with leader lines to point features can significantly improve their visibility. Leadered labels have a large degree of freed…
Generating grid maps via the snake model
Zhiwei Wei, Nai Yang, Wenjia Xu +1
The grid map, often referred to as the tile map, stands as a vital tool in geospatial visualization, possessing unique attributes that differentiate it from more commonly known tec…
RS-Agent: Automating Remote Sensing Tasks through Intelligent Agent
Wenjia Xu, Zijian Yu, Boyang Mu +3
Recent advances in Multimodal Large Language Models (MLLMs) have shown promise for remote sensing tasks such as visual question answering and scene understanding. However, existing…
UAV-VisLoc: A Large-scale Dataset for UAV Visual Localization
Wenjia Xu, Yaxuan Yao, Jiaqi Cao +4
The application of unmanned aerial vehicles (UAV) has been widely extended recently. It is crucial to ensure accurate latitude and longitude coordinates for UAVs, especially when t…
Deep Semantic-Visual Alignment for Zero-Shot Remote Sensing Image Scene Classification
Wenjia Xu, Jiuniu Wang, Zhiwei Wei +2
Deep neural networks have achieved promising progress in remote sensing (RS) image classification, for which the training process requires abundant samples for each class. However,…
Jointly Optimized Global-Local Visual Localization of UAVs
Haoling Li, Jiuniu Wang, Zhiwei Wei +1
Navigation and localization of UAVs present a challenge when global navigation satellite systems (GNSS) are disrupted and unreliable. Traditional techniques, such as simultaneous l…
ARAI-MVSNet: A multi-view stereo depth estimation network with adaptive depth range and depth interval
Song Zhang, Wenjia Xu, Zhiwei Wei +3
Multi-View Stereo~(MVS) is a fundamental problem in geometric computer vision which aims to reconstruct a scene using multi-view images with known camera parameters. However, the m…
Linear building pattern recognition via spatial knowledge graph
Wei Zhiwei, Xiao Yi, Tong Ying +2
Building patterns are important urban structures that reflect the effect of the urban material and social-economic on a region. Previous researches are mostly based on the graph is…
Inferring High-level Geographical Concepts via Knowledge Graph and Multi-scale Data Integration: A Case Study of C-shaped Building Pattern Recognition
Zhiwei Wei, Yi Xiao, Wenjia Xu +4
Effective building pattern recognition is critical for understanding urban form, automating map generalization, and visualizing 3D city models. Most existing studies use object-ind…
Circular cartograms via the elastic beam algorithm originated from cartographic generalization
Wei Zhiwei, Ding Su, Xu Wenjia +3
The circular cartogram, also known as the Dorling map, is a widely used tool for visualizing statistical data. It represents regions as circles with their areas in proportion to th…
From river flow to spatial flow: flow map via river flow directions assignment algorithm
Zhiwei Wei, Su Ding, Yang Wang +2
Flow maps are thematic maps that visualize object movements across space with a tree layout, in which the underlying tree structure is similar to a natural river system. In this pa…
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
Dawei Du, Longyin Wen, Pengfei Zhu +52
Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint.…
AMRNet: Chips Augmentation in Aerial Images Object Detection
Zhiwei Wei, Chenzhen Duan, Xinghao Song +2
Object detection in aerial images is a challenging task due to the following reasons: (1) objects are small and dense relative to images; (2) the object scale varies in a wide rang…