Visual private information leakage is an emerging key issue for the fast growing applications
of video understanding like activity recognition. Existing approaches for mitigating privacy …

With the advancement of vision-based artificial intelligence, the proliferation of the Internet of
Things connected cameras, and the increasing societal need for rapid and equitable …

Humans drive in a holistic fashion which entails, in particular, understanding dynamic road
events and their evolution. Injecting these capabilities in autonomous vehicles can thus take …

To reduce the loss induced by forest fires, it is very important to detect the forest fire smoke in
real time so that early and timely warning can be issued. Machine vision and image …

Abstract Semi-Supervised Learning can be more beneficial for the video domain compared
to images because of its higher annotation cost and dimensionality. Besides, any video …

Distracted driver actions can be dangerous and cause severe accidents. Thus, it is important
to detect and eliminate distracted driving behaviors on the road to save lives. To this end, we …

Video object and human action detection are applied in many fields, such as video
surveillance, face recognition, etc. Video object detection includes object classification and …

City-scale multi-camera vehicle tracking is an important task in the intelligent city and traffic
management. It is quite challenging with large scale variance, frequent occlusion and …

Activity detection has wide-reaching applications in video surveillance, sports, and behavior
analysis. The existing literature in activity detection has mainly focused on benchmarks like …

Action Spotting in the broadcast soccer game is important to understand salient actions and
video summary applications. In this paper, we propose an efficient transformer-based …