activity
20152024
most citedFIVR: Fine-grained Incident Video Retrieval

78 citations · 421 across the 37 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

eess.SP2022★ 5 cited

Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training

Georgios Zoumpourlis, Ioannis Patras

In this work, we study the problem of cross-subject motor imagery (MI) decoding from electroencephalography (EEG) data. Multi-subject EEG datasets present several kinds of domain s…

cs.CV2022★ 1 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.CV2022★ 1 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…

cs.CV2022★ 8 cited

Learning from Label Relationships in Human Affect

Niki Maria Foteinopoulou, Ioannis Patras

Human affect and mental state estimation in an automated manner, face a number of difficulties, including learning from labels with poor or no temporal resolution, learning from fe…

cs.CV2022★ 21 cited

Adaptive Soft Contrastive Learning

Chen Feng, Ioannis Patras

Self-supervised learning has recently achieved great success in representation learning without human annotations. The dominant method -- that is contrastive learning, is generally…

cs.CV2022★ 8 cited

ContraCLIP: Interpretable GAN generation driven by pairs of contrasting sentences

Christos Tzelepis, James Oldfield, Georgios Tzimiropoulos +1

This work addresses the problem of discovering non-linear interpretable paths in the latent space of pre-trained GANs in a model-agnostic manner. In the proposed method, the discov…