Niki Maria Foteinopoulou

Orcid: 0000-0003-4481-9360

Affiliations:
  • Tavus, London, UK
  • Toshiba Europe, Cambridge Research Laboratory, Cambridge, UK
  • University of Luxembourg, Luxemburg
  • Queen Mary University of London, UK (PhD)


According to our database1, Niki Maria Foteinopoulou authored at least 11 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Training-Free Multi-Concept Image Editing.
CoRR, February, 2026

2025
LoRAtorio: An intrinsic approach to LoRA Skill Composition.
CoRR, August, 2025

When Unsupervised Domain Adaptation meets One-class Anomaly Detection: Addressing the Two-fold Unsupervised Curse by Leveraging Anomaly Scarcity.
CoRR, February, 2025

Machine learning approaches for fine-grained symptom estimation in schizophrenia: A comprehensive review.
Artif. Intell. Medicine, 2025

VLLMs Provide Better Context for Emotion Understanding Through Common Sense Reasoning.
Proceedings of the International Joint Conference on Neural Networks, 2025

CAD-Assistant: Tool-Augmented VLLMs as Generic CAD Task Solvers.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
A Hitchhikers Guide to Fine-Grained Face Forgery Detection Using Common Sense Reasoning.
CoRR, 2024

A Hitchhiker's Guide to Fine-Grained Face Forgery Detection Using Common Sense Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

EmoCLIP: A Vision-Language Method for Zero-Shot Video Facial Expression Recognition.
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

2022
Learning from Label Relationships in Human Affect.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021
Estimating continuous affect with label uncertainty.
Proceedings of the 9th International Conference on Affective Computing and Intelligent Interaction, 2021


  Loading...