2 citations · 2 across the 7 of their papers we have counts for
8 papers · 1 filter
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…
DialBench: Towards Accurate Reading Recognition of Pointer Meter using Large Foundation Models
Futian Wang, Chaoliu Weng, Xiao Wang +3
The precise reading recognition of pointer meters plays a key role in smart power systems, but existing approaches remain fragile due to challenges like reflections, occlusions, dy…
EvRainDrop: HyperGraph-guided Completion for Effective Frame and Event Stream Aggregation
Futian Wang, Fan Zhang, Xiao Wang +3
Event cameras produce asynchronous event streams that are spatially sparse yet temporally dense. Mainstream event representation learning algorithms typically use event frames, vox…
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…
R2GenKG: Hierarchical Multi-modal Knowledge Graph for LLM-based Radiology Report Generation
Futian Wang, Yuhan Qiao, Xiao Wang +3
X-ray medical report generation is one of the important applications of artificial intelligence in healthcare. With the support of large foundation models, the quality of medical r…
EventSTR: A Benchmark Dataset and Baselines for Event Stream based Scene Text Recognition
Xiao Wang, Jingtao Jiang, Dong Li +5
Mainstream Scene Text Recognition (STR) algorithms are developed based on RGB cameras which are sensitive to challenging factors such as low illumination, motion blur, and cluttere…
Spatio-temporal Graph Learning on Adaptive Mined Key Frames for High-performance Multi-Object Tracking
Futian Wang, Fengxiang Liu, Xiao Wang
In the realm of multi-object tracking, the challenge of accurately capturing the spatial and temporal relationships between objects in video sequences remains a significant hurdle.…
Spatio-Temporal Side Tuning Pre-trained Foundation Models for Video-based Pedestrian Attribute Recognition
Xiao Wang, Qian Zhu, Jiandong Jin +5
Existing pedestrian attribute recognition (PAR) algorithms are mainly developed based on a static image, however, the performance is unreliable in challenging scenarios, such as he…