227 citations · 271 across the 5 of their papers we have counts for
5 papers
Reduced Memory Region Based Deep Convolutional Neural Network Detection
Denis Tome', Luca Bondi, Emanuele Plebani +3
Accurate pedestrian detection has a primary role in automotive safety: for example, by issuing warnings to the driver or acting actively on car's brakes, it helps decreasing the pr…
Deep convolutional neural networks for pedestrian detection
Denis Tomè, Federico Monti, Luca Baroffio +3
Pedestrian detection is a popular research topic due to its paramount importance for a number of applications, especially in the fields of automotive, surveillance and robotics. De…
Fast keypoint detection in video sequences
Luca Baroffio, Matteo Cesana, Alessandro Redondi +1
A number of computer vision tasks exploit a succinct representation of the visual content in the form of sets of local features. Given an input image, feature extraction algorithms…
Hybrid coding of visual content and local image features
Luca Baroffio, Matteo Cesana, Alessandro Redondi +2
Distributed visual analysis applications, such as mobile visual search or Visual Sensor Networks (VSNs) require the transmission of visual content on a bandwidth-limited network, f…
Coding local and global binary visual features extracted from video sequences
Luca Baroffio, Antonio Canclini, Matteo Cesana +3
Binary local features represent an effective alternative to real-valued descriptors, leading to comparable results for many visual analysis tasks, while being characterized by sign…