21 citations · 60 across the 18 of their papers we have counts for
18 papers
Efficient Unsupervised Visual Representation Learning with Explicit Cluster Balancing
Ioannis Maniadis Metaxas, Georgios Tzimiropoulos, Ioannis Patras
Self-supervised learning has recently emerged as the preeminent pretraining paradigm across and between modalities, with remarkable results. In the image domain specifically, group…
FashionSD-X: Multimodal Fashion Garment Synthesis using Latent Diffusion
Abhishek Kumar Singh, Ioannis Patras
The rapid evolution of the fashion industry increasingly intersects with technological advancements, particularly through the integration of generative AI. This study introduces a…
LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition
Zhonglin Sun, Chen Feng, Ioannis Patras +1
In this work we focus on learning facial representations that can be adapted to train effective face recognition models, particularly in the absence of labels. Firstly, compared wi…
MOAB: Multi-Modal Outer Arithmetic Block For Fusion Of Histopathological Images And Genetic Data For Brain Tumor Grading
Omnia Alwazzan, Abbas Khan, Ioannis Patras +1
Brain tumors are an abnormal growth of cells in the brain. They can be classified into distinct grades based on their growth. Often grading is performed based on a histological ima…
FOAA: Flattened Outer Arithmetic Attention For Multimodal Tumor Classification
Omnia Alwazzan, Ioannis Patras, Gregory Slabaugh
Fusion of multimodal healthcare data holds great promise to provide a holistic view of a patient's health, taking advantage of the complementarity of different modalities while lev…
Self-Supervised Facial Representation Learning with Facial Region Awareness
Zheng Gao, Ioannis Patras
Self-supervised pre-training has been proved to be effective in learning transferable representations that benefit various visual tasks. This paper asks this question: can self-sup…