8 citations · 12 across the 6 of their papers we have counts for
7 papers · 1 filter
Training-Free Multi-Concept Image Editing
Niki Foteinopoulou, Ignas Budvytis, Stephan Liwicki
Training-free image editing with diffusion models is highly desirable yet is complex and remains a significant challenge. While recent optimisation-based methods achieve strong zer…
LoRAtorio: An intrinsic approach to LoRA Skill Composition
Niki Foteinopoulou, Ignas Budvytis, Stephan Liwicki
Low-Rank Adaptation (LoRA) has become a widely adopted technique in text-to-image diffusion models, enabling the personalisation of visual concepts such as characters, styles, and…
CAD-Assistant: Tool-Augmented VLLMs as Generic CAD Task Solvers
Dimitrios Mallis, Ahmet Serdar Karadeniz, Sebastian Cavada +5
We propose CAD-Assistant, a general-purpose CAD agent for AI-assisted design. Our approach is based on a powerful Vision and Large Language Model (VLLM) as a planner and a tool-aug…
A Hitchhikers Guide to Fine-Grained Face Forgery Detection Using Common Sense Reasoning
Niki Maria Foteinopoulou, Enjie Ghorbel, Djamila Aouada
Explainability in artificial intelligence is crucial for restoring trust, particularly in areas like face forgery detection, where viewers often struggle to distinguish between rea…
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…
EmoCLIP: A Vision-Language Method for Zero-Shot Video Facial Expression Recognition
Niki Maria Foteinopoulou, Ioannis Patras
Facial Expression Recognition (FER) is a crucial task in affective computing, but its conventional focus on the seven basic emotions limits its applicability to the complex and exp…
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…