19 citations · 97 across the 49 of their papers we have counts for
6 papers · 1 filter
Multiscale Vision Transformers meet Bipartite Matching for efficient single-stage Action Localization
Ioanna Ntinou, Enrique Sanchez, Georgios Tzimiropoulos
Action Localization is a challenging problem that combines detection and recognition tasks, which are often addressed separately. State-of-the-art methods rely on off-the-shelf bou…
A Simple Baseline for Knowledge-Based Visual Question Answering
Alexandros Xenos, Themos Stafylakis, Ioannis Patras +1
This paper is on the problem of Knowledge-Based Visual Question Answering (KB-VQA). Recent works have emphasized the significance of incorporating both explicit (through external d…
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…
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…
Black Box Few-Shot Adaptation for Vision-Language models
Yassine Ouali, Adrian Bulat, Brais Martinez +1
Vision-Language (V-L) models trained with contrastive learning to align the visual and language modalities have been shown to be strong few-shot learners. Soft prompt learning is t…