Asymmetric cross-modal activation network for RGB-T salient object detection

C Xu, Q Li, Q Zhou, X Jiang, D Yu, Y Zhou - Knowledge-Based Systems, 2022 - Elsevier
RGB-thermal salient object detection (RGB-T SOD) has unique advantages in terms of
handling challenging scenes with cluttered backgrounds, low illumination, and low contrast …

Cippsrnet: A camera internal parameters perception network based contrastive learning for thermal image super-resolution

K Wang, Q Sun, Y Wang, H Wei, C Lv… - Proceedings of the …, 2022 - openaccess.thecvf.com
Abstract Thermal Image Super-Resolution (TISR) is a technique for converting Low-
Resolution (LR) thermal images to High-Resolution (HR) thermal images. This technique …

Multi-Scale Feature Fusion using Channel Transformers for Guided Thermal Image Super Resolution

RS Puttagunta, B Kathariya, Z Li… - Proceedings of the …, 2024 - openaccess.thecvf.com
Thermal imaging leveraging the infrared spectrum offers a compelling alternative to visible
spectrum (VIS) imagery in challenging environmental conditions like low-light occlusions …

A Dual CNN for Image Super-Resolution

J Song, J Xiao, C Tian, Y Hu, L You, S Zhang - Electronics, 2022 - mdpi.com
High-quality images have an important effect on high-level tasks. However, due to human
factors and camera hardware, digital devices collect low-resolution images. Deep networks …

A Prediction-to-Prediction Remote Sensing Image Super-Resolution Network under a Multi-Level Supervision Paradigm

J Guo, M Li, Q Zhao, Q Xu - Applied Sciences, 2023 - mdpi.com
Super-resolution enhances the spatial resolution of remote sensing images, yielding clearer
data for diverse satellite applications. However, existing methods often lose true detail and …

Data-Driven Algorithm for Temperature Predictions and Corrections from Low-Resolution Thermal Images at Fire Scenes

Y Dong, J Jiang, W Chen, J Ye - Available at SSRN 5060066 - papers.ssrn.com
An accurate and efficient temperature measurement at fire scenes is crucial for structural
safety predictions and fire emergency responses. The application of thermal images …