2 citations · 2 across the 4 of their papers we have counts for
5 papers
MGRL-RSCC: Multi-Granularity Reward Reinforcement Learning for Fine-Grained Remote Sensing Change Captioning
Futian Wang, Mengqi Wang, Xiao Wang +4
Remote Sensing Change Captioning (RSCC), which aims to generate accurate and detailed linguistic descriptions of ground object variations from bi-temporal remote sensing images, is…
SAM Guided Semantic and Motion Changed Region Mining for Remote Sensing Change Captioning
Futian Wang, Mengqi Wang, Xiao Wang +2
Remote sensing change captioning is an emerging and popular research task that aims to describe, in natural language, the content of interest that has changed between two remote se…
Exploring the Equivalence of Closed-Set Generative and Real Data Augmentation in Image Classification
Haowen Wang, Guowei Zhang, Xiang Zhang +4
In this paper, we address a key scientific problem in machine learning: Given a training set for an image classification task, can we train a generative model on this dataset to en…
Adversarial Attack for RGB-Event based Visual Object Tracking
Qiang Chen, Xiao Wang, Haowen Wang +5
Visual object tracking is a crucial research topic in the fields of computer vision and multi-modal fusion. Among various approaches, robust visual tracking that combines RGB frame…
Activating Associative Disease-Aware Vision Token Memory for LLM-Based X-ray Report Generation
Xiao Wang, Fuling Wang, Haowen Wang +5
X-ray image based medical report generation achieves significant progress in recent years with the help of the large language model, however, these models have not fully exploited…