Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …

Pedestrian detection is a key problem in computer vision, with several applications that have
the potential to positively impact quality of life. In recent years, the number of approaches to …

The use of unmanned aerial vehicles (UAVs) is growing rapidly across many civil
application domains, including real-time monitoring, providing wireless coverage, remote …

We introduce a comprehensive benchmark for local features and robust estimation
algorithms, focusing on the downstream task—the accuracy of the reconstructed camera …

We introduce a novel Deep Network architecture that implements the full feature point
handling pipeline, that is, detection, orientation estimation, and feature description. While …

Recent advances in pedestrian detection are attained by transferring the learned features of
Convolutional Neural Network (ConvNet) to pedestrians. This ConvNet is typically pre …

Face detection is one of the most studied topics in computer vision literature, not only
because of the challenging nature of face as an object, but also due to the countless …

We present a new state-of-the-art approach for face detection. The key idea is to combine
face alignment with detection, observing that aligned face shapes provide better features for …

This comprehensive review investigates the multifaceted applications of machine learning in
materials research across six key dimensions, redefining the field's boundaries. It explains …

Inspired by the recent success of text-based question answering, visual question answering
(VQA) is proposed to automatically answer natural language questions with the reference to …