Spyridon Thermos | DeepAI

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Featured Co-authors

Xiao Liu
179 publications
Sotirios A Tsaftaris
49 publications
Petros Daras
31 publications
Dimitrios Zarpalas
25 publications
Nikolaos Zioulis
21 publications
Alison Q O'Neil
15 publications
Pedro Sanchez
14 publications
Agisilaos Chartsias
11 publications
Gabriele Valvano
10 publications
Alexandros Doumanoglou
8 publications
Georgios Th. Papadopoulos
6 publications

∙ 06/13/2023

Compositionally Equivariant Representation Learning

Deep learning models often need sufficient supervision (i.e. labelled da...

0 Xiao Liu, et al. ∙

∙ 08/06/2022

HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information

Learning disentangled representations requires either supervision or the...

0 Xiao Liu, et al. ∙

∙ 06/29/2022

vMFNet: Compositionality Meets Domain-generalised Segmentation

Training medical image segmentation models usually requires a large amou...

4 Xiao Liu, et al. ∙

∙ 08/26/2021

A Tutorial on Learning Disentangled Representations in the Imaging Domain

Disentangled representation learning has been proposed as an approach to...

13 Xiao Liu, et al. ∙

∙ 07/04/2021

Controllable cardiac synthesis via disentangled anatomy arithmetic

Acquiring annotated data at scale with rare diseases or conditions remai...

12 Spyridon Thermos, et al. ∙

∙ 06/24/2021

Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation

Generalising deep models to new data from new centres (termed here domai...

0 Xiao Liu, et al. ∙

∙ 08/27/2020

Metrics for Exposing the Biases of Content-Style Disentanglement

Recent state-of-the-art semi- and un-supervised solutions for challengin...

5 Xiao Liu, et al. ∙

∙ 08/26/2020

Disentangled Representations for Domain-generalized Cardiac Segmentation

Robust cardiac image segmentation is still an open challenge due to the ...

7 Xiao Liu, et al. ∙

∙ 04/18/2020

A Deep Learning Approach to Object Affordance Segmentation

Learning to understand and infer object functionalities is an important ...

0 Spyridon Thermos, et al. ∙

∙ 03/23/2020

Deep Soft Procrustes for Markerless Volumetric Sensor Alignment

With the advent of consumer grade depth sensors, low-cost volumetric cap...

12 Vladimiros Sterzentsenko, et al. ∙

∙ 09/03/2019

Self-Supervised Deep Depth Denoising

Depth perception is considered an invaluable source of information for v...

48 Vladimiros Sterzentsenko, et al. ∙

∙ 04/10/2017

Deep Affordance-grounded Sensorimotor Object Recognition

It is well-established by cognitive neuroscience that human perception o...

0 Spyridon Thermos, et al. ∙

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