67 citations · 119 across the 6 of their papers we have counts for
6 papers
Viewpoint Integration and Registration with Vision Language Foundation Model for Image Change Understanding
Xiaonan Lu, Jianlong Yuan, Ruigang Niu +2
Recently, the development of pre-trained vision language foundation models (VLFMs) has led to remarkable performance in many tasks. However, these models tend to have strong single…
RSGPT: A Remote Sensing Vision Language Model and Benchmark
Yuan Hu, Jianlong Yuan, Congcong Wen +2
The emergence of large-scale large language models, with GPT-4 as a prominent example, has significantly propelled the rapid advancement of artificial general intelligence and spar…
Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object Detection
Xiaonan Lu, Wenhui Diao, Yongqiang Mao +4
Few-shot object detection, expecting detectors to detect novel classes with a few instances, has made conspicuous progress. However, the prototypes extracted by existing meta-learn…
Bidirectional Feature Globalization for Few-shot Semantic Segmentation of 3D Point Cloud Scenes
Yongqiang Mao, Zonghao Guo, Xiaonan Lu +2
Few-shot segmentation of point cloud remains a challenging task, as there is no effective way to convert local point cloud information to global representation, which hinders the g…
Beyond single receptive field: A receptive field fusion-and-stratification network for airborne laser scanning point cloud classification
Yongqiang Mao, Kaiqiang Chen, Wenhui Diao +4
The classification of airborne laser scanning (ALS) point clouds is a critical task of remote sensing and photogrammetry fields. Although recent deep learning-based methods have ac…
Semantic Segmentation for Point Cloud Scenes via Dilated Graph Feature Aggregation and Pyramid Decoders
Yongqiang Mao, Xian Sun, Kaiqiang Chen +4
Semantic segmentation of point clouds generates comprehensive understanding of scenes through densely predicting the category for each point. Due to the unicity of receptive field,…