2 citations · 4 across the 5 of their papers we have counts for
6 papers · 1 filter
Vision-Free Retrieval: Rethinking Multimodal Search with Textual Scene Descriptions
Ioanna Ntinou, Alexandros Xenos, Yassine Ouali +2
Contrastively-trained Vision-Language Models (VLMs), such as CLIP, have become the standard approach for learning discriminative vision-language representations. However, these mod…
MeMSVD: Long-Range Temporal Structure Capturing Using Incremental SVD
Ioanna Ntinou, Enrique Sanchez, Georgios Tzimiropoulos
This paper is on long-term video understanding where the goal is to recognise human actions over long temporal windows (up to minutes long). In prior work, long temporal context is…
VLLMs Provide Better Context for Emotion Understanding Through Common Sense Reasoning
Alexandros Xenos, Niki Maria Foteinopoulou, Ioanna Ntinou +2
Recognising emotions in context involves identifying an individual's apparent emotions while considering contextual cues from the surrounding scene. Previous approaches to this tas…
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 Transfer Learning approach to Heatmap Regression for Action Unit intensity estimation
Ioanna Ntinou, Enrique Sanchez, Adrian Bulat +2
Action Units (AUs) are geometrically-based atomic facial muscle movements known to produce appearance changes at specific facial locations. Motivated by this observation we propose…
Attention-Aware Generative Adversarial Networks (ATA-GANs)
Dimitris Kastaniotis, Ioanna Ntinou, Dimitrios Tsourounis +2
In this work, we present a novel approach for training Generative Adversarial Networks (GANs). Using the attention maps produced by a Teacher- Network we are able to improve the qu…