DICTA, established in 1991 as the premier conference of the Australian Pattern Recognition
Society (APRS), is the main Australian Conference on computer vision, image processing …

We propose a new deep learning-based hierarchical object detection algorithm for high-
definition vision sensors for the goal of controlling autonomous vehicles and drones. The …

In recent years, object detection has experienced impressive progress in several fields.
However, identifying objects in aerial images remains a complex undertaking due to specific …

Abstract Single-Pixel Imaging (SPI) is a novel imaging technique that is applicable to
acquiring spatial information under low light, high absorption, and backscattering conditions …

In challenging weather conditions, various visual impediments such as raindrops, shadows,
haze and distortions from dirty camera lenses and codec errors adversely affect the quality …

This paper summarizes the design, experiments and results of our solution to the Road
Damage Detection and Classification Challenge held as part of the 2018 IEEE International …

Object recognition has achieved a good progress in computer vision, but still it is a difficult
task in case of low-resolution images, because traditional discriminant features in high …

This research examines the utilization of Convolutional Neural Networks (CNNs) in image
classification, shedding light on recent progress in machine learning algorithms …

When a disaster happens, affected individuals may use social media platforms, such as
Twitter or Facebook, to ask for help or post information about the disaster. From a disaster …

It is our great pleasure to publish these post-workshop proceedings of the 30th International
Workshop on Frontiers of Computer Vision (IW-FCV 2024), which was held in Tokyo, Japan …