Recent radiology multi-modal language models have made substantial progress in chest X-ray report generation, visual question answering, and temporal reasoning. While longitudinal chest X-ray interpretation compares sequential examinations to describe change, visual grounding aims to connect clinical language with loca...
Adonay Demewez Gebremedhin, Wessam Shehieb, Sara Alansari et al.· 0 citations
This work proposes an innovative solution that combines a lightweight vision-language encoder with a compact multi-layer perceptron to predict combustion efficiency directly from low-cost thermal video footage to achieve high combustion efficiency in flare stacks.
Afeefa Azam, I. I. Ganapathi, Fares Ossama Abdelhafez et al.· 0 citations
A Consistent Photometric Enhancement Network (CPEN) for change detection under complex illumination conditions that applies a low-light compensation mechanism to reduce photometric discrepancies between image pairs, which is followed by a bi-temporal enhancement module that jointly improves brightness while preserving...
Pengcheng Han, Zhenyu Xia, Lin Chen et al.· Remote Sensing· 0 citations
A semantic attention-driven retrieval framework based on a lightweight Meta-Domain Adaptive Segmentation Network (MDA-SN) with an adaptive data normalization strategy to enhance infection detection in cross-dataset analysis and achieves real-time execution.
M. Owais, Taimur Hassan, Naqash Afzal et al.· Scientific Reports· 1 citation
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