64 citations · 232 across the 12 of their papers we have counts for
5 papers · 1 filter
RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model
Keyan Chen, Chenyang Liu, Hao Chen +4
Leveraging the extensive training data from SA-1B, the Segment Anything Model (SAM) demonstrates remarkable generalization and zero-shot capabilities. However, as a category-agnost…
Continuous Remote Sensing Image Super-Resolution based on Context Interaction in Implicit Function Space
Keyan Chen, Wenyuan Li, Sen Lei +4
Despite its fruitful applications in remote sensing, image super-resolution is troublesome to train and deploy as it handles different resolution magnifications with separate model…
Semantic-aware Dense Representation Learning for Remote Sensing Image Change Detection
Hao Chen, Wenyuan Li, Song Chen +1
Supervised deep learning models depend on massive labeled data. Unfortunately, it is time-consuming and labor-intensive to collect and annotate bitemporal samples containing desire…
Geographical Knowledge-driven Representation Learning for Remote Sensing Images
Wenyuan Li, Keyan Chen, Hao Chen +1
The proliferation of remote sensing satellites has resulted in a massive amount of remote sensing images. However, due to human and material resource constraints, the vast majority…
An attention-based multi-resolution model for prostate whole slide imageclassification and localization
Jiayun Li, Wenyuan Li, Arkadiusz Gertych +3
Histology review is often used as the `gold standard' for disease diagnosis. Computer aided diagnosis tools can potentially help improve current pathology workflows by reducing exa…