With the continue development of Convolutional Neural Networks (CNNs), t...
Capsule Networks (CapsNets) have been re-introduced as a more compact an...
The Lottery Ticket Hypothesis (LTH) showed that by iteratively training ...
With their combined spectral depth and geometric resolution, hyperspectr...
In recent years multi-label, multi-class video action recognition has ga...
One of the most common problems of weakly supervised object localization...
Explainable AI (XAI) methods focus on explaining what a neural network h...
We present a method for adversarial attack detection based on the inspec...
Given a really low-resolution input image of a face (say 16x16 or 8x8
pi...
In recent years, unsupervised/weakly-supervised conditional generative
a...
Multiple Instance learning (MIL) algorithms are tasked with learning how...
We address the problem of un-supervised geometric image-to-image transla...
Learning-based representations have become the defacto means to address
...
Online social networks contain a constantly increasing amount of images ...
In this paper we present a hierarchical method to discover mid-level ele...
We propose a function-based temporal pooling method that captures the la...