Robust and accurate geometric understanding against adverse weather conditions is one
top prioritized conditions to achieve a high-level autonomy of self-driving cars. However …

Gait recognition (GR) is a growing biometric modality used for person identification from a
distance through visual cameras. GR provides a secure and reliable alternative to fingerprint …

Image Super-Resolution (SR) is essential for a wide range of computer vision and image
processing tasks. Investigating infrared (IR) image (or thermal images) super-resolution is a …

In this critical brief review, we explore the pivotal role of computer vision in wildfire detection,
following the PRISMA methodology and focusing on 35 key studies published between …

Due to their minimal susceptibility to environmental changes, infrared images are widely
applicable across various fields, particularly in the realm of traffic. Nonetheless, a common …

Thermal Infrared (IR) imagery is utilized in several applications due to their unique
properties. However, there are a number of challenges, such as small target objects, image …

Given the broad application of infrared technology across diverse fields, there is an
increasing emphasis on investigating super-resolution techniques for infrared images within …

Due to the lack of a definitive ground truth for the image fusion problem, the loss functions
are structured based on evaluation metrics, such as the structural similarity index measure …

Tracking objects can be a difficult task in computer vision, especially when faced with
challenges such as occlusion, changes in lighting, and motion blur. Recent advances in …

Abstract Visible-to-Infrared image Translation (V2I) is fundamentally an ill-defined problem,
since RGB images do not have any information about the thermal characteristics of different …