5 citations · 10 across the 7 of their papers we have counts for
7 papers
ObliCity: A Benchmark and Baseline for Roof-to-Ground Projection Displacement Correction
Kai Li, Yupeng Deng, Ligao Deng +6
Oblique-view urban remote sensing imagery inevitably exhibits geometric projection displacements between building roofs and footprints, leading to significant distortions in spatia…
Decomposed Vision-Language Alignment for Fine-Grained Open-Vocabulary Segmentation
Chenhao Wang, Yingrui Ji, Yu Meng +1
Open-vocabulary segmentation models often struggle to generalize to unseen combinations of object categories and attributes, because fine-grained descriptions are typically encoded…
RS-OOD: A Vision-Language Augmented Framework for Out-of-Distribution Detection in Remote Sensing
Chenhao Wang, Yingrui Ji, Yu Meng +2
Out-of-distribution (OOD) detection represents a critical challenge in remote sensing applications, where reliable identification of novel or anomalous patterns is essential for au…
SOPSeg: Prompt-based Small Object Instance Segmentation in Remote Sensing Imagery
Chenhao Wang, Yingrui Ji, Yu Meng +2
Extracting small objects from remote sensing imagery plays a vital role in various applications, including urban planning, environmental monitoring, and disaster management. While…
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…
PolyFootNet: Extracting Polygonal Building Footprints in Off-Nadir Remote Sensing Images
Kai Li, Yupeng Deng, Jingbo Chen +6
Extracting polygonal building footprints from off-nadir imagery is crucial for diverse applications. Current deep-learning-based extraction approaches predominantly rely on semanti…
Prompt-Driven Building Footprint Extraction in Aerial Images with Offset-Building Model
Kai Li, Yupeng Deng, Yunlong Kong +5
More accurate extraction of invisible building footprints from very-high-resolution (VHR) aerial images relies on roof segmentation and roof-to-footprint offset extraction. Existin…