1 citations · 1 across the 6 of their papers we have counts for
6 papers
ExDDV: A New Dataset for Explainable Deepfake Detection in Video
Vlad Hondru, Eduard Hogea, Darian Onchis +1
The ever growing realism and quality of generated videos makes it increasingly harder for humans to spot deepfake content, who need to rely more and more on automatic deepfake dete…
ViTmiX: Vision Transformer Explainability Augmented by Mixed Visualization Methods
Eduard Hogea, Darian M. Onchis, Ana Coporan +2
Recent advancements in Vision Transformers (ViT) have demonstrated exceptional results in various visual recognition tasks, owing to their ability to capture long-range dependencie…
Enhanced Anomaly Detection in Automotive Systems Using SAAD: Statistical Aggregated Anomaly Detection
Dacian Goina, Eduard Hogea, George Maties
This paper presents a novel anomaly detection methodology termed Statistical Aggregated Anomaly Detection (SAAD). The SAAD approach integrates advanced statistical techniques with…
The ethical situation of DALL-E 2
Eduard Hogea, Josem Rocafortf
A hot topic of Artificial Intelligence right now is image generation from prompts. DALL-E 2 is one of the biggest names in this domain, as it allows people to create images from si…
FeTrIL++: Feature Translation for Exemplar-Free Class-Incremental Learning with Hill-Climbing
Eduard Hogea, Adrian Popescu, Darian Onchis +1
Exemplar-free class-incremental learning (EFCIL) poses significant challenges, primarily due to catastrophic forgetting, necessitating a delicate balance between stability and plas…
Neuro-symbolic model for cantilever beams damage detection
Darian Onchis, Gilbert-Rainer Gillich, Eduard Hogea +1
In the last decade, damage detection approaches swiftly changed from advanced signal processing methods to machine learning and especially deep learning models, to accurately and n…