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20172022
most citedRegistration-free Face-SSD: Single shot analysis of smiles, facial attributes, and affect in the wild

51 citations · 102 across the 13 of their papers we have counts for

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19 papers · 1 filter

cs.CV20247 cited

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…

cs.CV2023

Prompting Visual-Language Models for Dynamic Facial Expression Recognition

Zengqun Zhao, Ioannis Patras

This paper presents a novel visual-language model called DFER-CLIP, which is based on the CLIP model and designed for in-the-wild Dynamic Facial Expression Recognition (DFER). Spec…

cs.CV2023

HyperReenact: One-Shot Reenactment via Jointly Learning to Refine and Retarget Faces

Stella Bounareli, Christos Tzelepis, Vasileios Argyriou +2

In this paper, we present our method for neural face reenactment, called HyperReenact, that aims to generate realistic talking head images of a source identity, driven by a target…

cs.CV2023

Aligned Unsupervised Pretraining of Object Detectors with Self-training

Ioannis Maniadis Metaxas, Adrian Bulat, Ioannis Patras +2

The unsupervised pretraining of object detectors has recently become a key component of object detector training, as it leads to improved performance and faster convergence during…

cs.CV20221 cited

StyleMask: Disentangling the Style Space of StyleGAN2 for Neural Face Reenactment

Stella Bounareli, Christos Tzelepis, Vasileios Argyriou +2

In this paper we address the problem of neural face reenactment, where, given a pair of a source and a target facial image, we need to transfer the target's pose (defined as the he…

cs.CV20221 cited

Capsule Network based Contrastive Learning of Unsupervised Visual Representations

Harsh Panwar, Ioannis Patras

Capsule Networks have shown tremendous advancement in the past decade, outperforming the traditional CNNs in various task due to it's equivariant properties. With the use of vector…