245 citations · 2.3k across the 58 of their papers we have counts for
61 papers
Diagnosing Convolutional Neural Networks using their Spectral Response
Victor Stamatescu, Mark D. McDonnell
Convolutional Neural Networks (CNNs) are a class of artificial neural networks whose computational blocks use convolution, together with other linear and non-linear operations, to…
Automatic Ground Truths: Projected Image Annotations for Omnidirectional Vision
Victor Stamatescu, Peter Barsznica, Manjung Kim +6
We present a novel data set made up of omnidirectional video of multiple objects whose centroid positions are annotated automatically. Omnidirectional vision is an active field of…
Track Everything: Limiting Prior Knowledge in Online Multi-Object Recognition
Sebastien C. Wong, Victor Stamatescu, Adam Gatt +3
This paper addresses the problem of online tracking and classification of multiple objects in an image sequence. Our proposed solution is to first track all objects in the scene wi…
A data set for evaluating the performance of multi-class multi-object video tracking
Avishek Chakraborty, Victor Stamatescu, Sebastien C. Wong +2
One of the challenges in evaluating multi-object video detection, tracking and classification systems is having publically available data sets with which to compare different syste…
Inauguration and First Light of the GCT-M Prototype for the Cherenkov Telescope Array
J. J. Watson, A. De Franco, A. Abchiche +66
The Gamma-ray Cherenkov Telescope (GCT) is a candidate for the Small Size Telescopes (SSTs) of the Cherenkov Telescope Array (CTA). Its purpose is to extend the sensitivity of CTA…
The Gamma-ray Cherenkov Telescope for the Cherenkov Telescope Array
L. Tibaldo, A. Abchiche, D. Allan +67
The Cherenkov Telescope Array (CTA) is a forthcoming ground-based observatory for very-high-energy gamma rays. CTA will consist of two arrays of imaging atmospheric Cherenkov teles…