Low-light image (LLI) enhancement is an important image processing task that aims at
improving the illumination of images taken under low-light conditions. Recently, a …

Low-light image enhancement is challenging in that it needs to consider not only brightness
recovery but also complex issues like color distortion and noise, which usually hide in the …

Today, visual recognition systems are still rarely employed in robotics applications. Perhaps
one of the main reasons for this is the lack of demanding benchmarks that mimic such …

Road detection from the perspective of moving vehicles is a challenging issue in
autonomous driving. Recently, many deep learning methods spring up for this task, because …

High level semantics embodied in scene texts are both rich and clear and thus can serve as
important cues for a wide range of vision applications, for instance, image understanding …

We introduce a new general framework for the recognition of complex visual scenes, which
is motivated by biology: We describe a hierarchical system that closely follows the …

Abstract Pedestrian Attribute Recognition (PAR) is an important task in computer vision
community and plays an important role in practical video surveillance. The goal of this paper …

Progress in understanding the brain mechanisms underlying vision requires the construction
of computational models that not only emulate the brain's anatomy and physiology, but …

Motorcycles are Vulnerable Road Users (VRU) and as such, in addition to bicycles and
pedestrians, they are the traffic actors most affected by accidents in urban areas. Automatic …

Common visual recognition tasks such as classification, object detection, and semantic
segmentation are rapidly reaching maturity, and given the recent rate of progress, it is not …