78 citations · 421 across the 37 of their papers we have counts for
8 papers · 1 filter
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…
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…
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…
Parts of Speech-Grounded Subspaces in Vision-Language Models
James Oldfield, Christos Tzelepis, Yannis Panagakis +2
Latent image representations arising from vision-language models have proved immensely useful for a variety of downstream tasks. However, their utility is limited by their entangle…
DivClust: Controlling Diversity in Deep Clustering
Ioannis Maniadis Metaxas, Georgios Tzimiropoulos, Ioannis Patras
Clustering has been a major research topic in the field of machine learning, one to which Deep Learning has recently been applied with significant success. However, an aspect of cl…
Self-Supervised Video Similarity Learning
Giorgos Kordopatis-Zilos, Giorgos Tolias, Christos Tzelepis +3
We introduce SVS, a video similarity learning approach with self-supervision. Self-Supervised Learning (SSL) is typically used to train deep models on a proxy task so as to hav…