XAINES: Explaining AI with narratives

M Hartmann, H Du, N Feldhus, I Kruijff-Korbayová… - KI-Künstliche …, 2022 - Springer
Artificial Intelligence (AI) systems are increasingly pervasive: Internet of Things, in-car
intelligent devices, robots, and virtual assistants, and their large-scale adoption makes it …

ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimation

Y Wu, Y Wang, S Qu, Z Li, G Chen - arXiv preprint arXiv:2406.09481, 2024 - arxiv.org
We consider the problem of user-adaptive 3D gaze estimation. The performance of person-
independent gaze estimation is limited due to interpersonal anatomical differences. Our goal …

Fine-tuning deep CNN models on specific MS COCO categories

D Sonntag, M Barz, J Zacharias, S Stauden… - arXiv preprint arXiv …, 2017 - arxiv.org
Fine-tuning of a deep convolutional neural network (CNN) is often desired. This paper
provides an overview of our publicly available py-faster-rcnn-ft software library that can be …

[PDF][PDF] Interaction with explanations in the XAINES project

M Hartmann, I Kruijff-Korbayová, D Sonntag - Trustworthy AI in the Wild …, 2021 - dfki.de
AI systems are increasingly pervasive, and their large-scale adoption makes it necessary to
explain their behaviour, for example to their users who are impacted by their decisions, or to …