24 citations · 33 across the 9 of their papers we have counts for
9 papers
Real-World Knowledge-Guided Change Data Synthesis for Remote Sensing
Yaoyi Qi, Xingxing Weng, Chao Pang +5
Change data synthesis provides a cost-effective solution for expanding training data and improving the performance of change detection models. However, existing synthesis methods t…
Continual Vision-Language Learning for Remote Sensing: Benchmarking and Analysis
Xingxing Weng, Ruifeng Ni, Chao Pang +5
Current remote sensing vision-language models (RS VLMs) demonstrate impressive performance in image interpretation but rely on static training data, limiting their ability to accom…
DragOSM: Extract Building Roofs and Footprints from Aerial Images by Aligning Historical Labels
Kai Li, Xingxing Weng, Yupeng Deng +4
Extracting polygonal roofs and footprints from remote sensing images is critical for large-scale urban analysis. Most existing methods rely on segmentation-based models that assume…
High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation
Lunhao Duan, Shanshan Zhao, Xingxing Weng +2
This paper investigates indoor point cloud semantic segmentation under scene-level annotation, which is less explored compared to methods relying on sparse point-level labels. In t…
Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives
Xingxing Weng, Chao Pang, Gui-Song Xia
Vision-language modeling (VLM) aims to bridge the information gap between images and natural language. Under the new paradigm of first pre-training on massive image-text pairs and…
Exploring Scene Affinity for Semi-Supervised LiDAR Semantic Segmentation
Chuandong Liu, Xingxing Weng, Shuguo Jiang +3
This paper explores scene affinity (AIScene), namely intra-scene consistency and inter-scene correlation, for semi-supervised LiDAR semantic segmentation in driving scenes. Adoptin…
VHM: Versatile and Honest Vision Language Model for Remote Sensing Image Analysis
Chao Pang, Xingxing Weng, Jiang Wu +8
This paper develops a Versatile and Honest vision language Model (VHM) for remote sensing image analysis. VHM is built on a large-scale remote sensing image-text dataset with rich-…
HiCD: Change Detection in Quality-Varied Images via Hierarchical Correlation Distillation
Chao Pang, Xingxing Weng, Jiang Wu +2
Advanced change detection techniques primarily target image pairs of equal and high quality. However, variations in imaging conditions and platforms frequently lead to image pairs…
DAM-Net: Global Flood Detection from SAR Imagery Using Differential Attention Metric-Based Vision Transformers
Tamer Saleh, Xingxing Weng, Shimaa Holail +2
The detection of flooded areas using high-resolution synthetic aperture radar (SAR) imagery is a critical task with applications in crisis and disaster management, as well as envir…