2 citations · 3 across the 4 of their papers we have counts for
4 papers
Semantic-Driven Scale and Spatial Selection for Efficient Cross-Modal Alignment in Referring Remote Sensing Image Segmentation
Kun Li, Shengxi Gui, Francesco Nex +1
Referring Remote Sensing Image Segmentation (RRSIS) seeks to localize and segment the target object or region specified by a natural language expression in a remote sensing image.…
AUG: A New Dataset and An Efficient Model for Aerial Image Urban Scene Graph Generation
Yansheng Li, Kun Li, Yongjun Zhang +2
Scene graph generation (SGG) aims to understand the visual objects and their semantic relationships from one given image. Until now, lots of SGG datasets with the eyelevel view are…
Interactive Image Segmentation with Cross-Modality Vision Transformers
Kun Li, George Vosselman, Michael Ying Yang
Interactive image segmentation aims to segment the target from the background with the manual guidance, which takes as input multimodal data such as images, clicks, scribbles, and…
HRVQA: A Visual Question Answering Benchmark for High-Resolution Aerial Images
Kun Li, George Vosselman, Michael Ying Yang
Visual question answering (VQA) is an important and challenging multimodal task in computer vision. Recently, a few efforts have been made to bring VQA task to aerial images, due t…