activity
20182021
most citedTensor Methods in Computer Vision and Deep Learning

182 citations · 182 across the 4 of their papers we have counts for

collaborators

8 papers

q-bio.QM2021

Classification of Influenza Hemagglutinin Protein Sequences using Convolutional Neural Networks

Charalambos Chrysostomou, Floris Alexandrou, Mihalis A. Nicolaou +1

The Influenza virus can be considered as one of the most severe viruses that can infect multiple species with often fatal consequences to the hosts. The Hemagglutinin (HA) gene of…

cs.CV2021182 cited

Tensor Methods in Computer Vision and Deep Learning

Yannis Panagakis, Jean Kossaifi, Grigorios G. Chrysos +4

Tensors, or multidimensional arrays, are data structures that can naturally represent visual data of multiple dimensions. Inherently able to efficiently capture structured, latent…

cs.CV2020

Enhancing Facial Data Diversity with Style-based Face Aging

Markos Georgopoulos, James Oldfield, Mihalis A. Nicolaou +2

A significant limiting factor in training fair classifiers relates to the presence of dataset bias. In particular, face datasets are typically biased in terms of attributes such as…

cs.CV2019

Multimodal Joint Emotion and Game Context Recognition in League of Legends Livestreams

Charles Ringer, James Alfred Walker, Mihalis A. Nicolaou

Video game streaming provides the viewer with a rich set of audio-visual data, conveying information both with regards to the game itself, through game footage and audio, as well a…

cs.CV2019

3DFaceGAN: Adversarial Nets for 3D Face Representation, Generation, and Translation

Stylianos Moschoglou, Stylianos Ploumpis, Mihalis Nicolaou +2

Over the past few years, Generative Adversarial Networks (GANs) have garnered increased interest among researchers in Computer Vision, with applications including, but not limited…

cs.CV2019

Adversarial Learning of Disentangled and Generalizable Representations for Visual Attributes

James Oldfield, Yannis Panagakis, Mihalis A. Nicolaou

Recently, a multitude of methods for image-to-image translation have demonstrated impressive results on problems such as multi-domain or multi-attribute transfer. The vast majority…