During about 30 years, a lot of research teams have worked on the big challenge of
detection of moving objects in various challenging environments. First applications concern …

Pedestrian detection remains a critical problem in various domains, such as computer
vision, surveillance, and autonomous driving. In particular, accurate and instant detection of …

In this work we introduce ProMotion a unified prototypical transformer-based framework
engineered to model fundamental motion tasks. ProMotion offers a range of compelling …

Due to the recent development of machine learning and sensor innovations, hand gesture
recognition systems become promising for the digital entertainment field. In this paper, we …

Distracted driving is one of the main causes of deaths and injuries in the world. Monitoring
driver behaviors through Driver Action Recognition (DAR) contributes significantly to …

In this work, we introduce the Prototypical Transformer (ProtoFormer), a general and unified
framework that approaches various motion tasks from a prototype perspective. ProtoFormer …

Driver distraction and fatigue have become one of the leading causes of severe traffic
accidents. Hence, driver inattention monitoring systems are crucial. Even with the growing …

Driver behaviors and decisions are crucial factors for on-road driving safety. With a precise
driver behavior monitoring system, traffic accidents and injuries can be significantly reduced …

A reliable environment perception is a crucial task for autonomous driving, especially in
dense traffic areas. Recent improvements and breakthroughs in scene understanding for …

Pedestrian detection is crucial for crowd surveillance applications and cyber-physical
systems that can deliver timely and sophisticated solutions, especially with applications like …