most citedHi-OSCAR: Hierarchical Open-set Classifier for Human Activity Recognition

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

FUSED: Forensic-Semantic Mixture-of-Experts for AI Inpainting Detection and Localization

Anton Nuzhdin, Marcel Worring, Ivona Najdenkoska

Diffusion-based inpainting models modify only a localized part of an image, while many AI-image detectors rely on global artifacts and do not localize. These artifacts vary across…

cs.HC2026

InfoCIR: Multimedia Analysis for Composed Image Retrieval

Ioannis Dravilas, Ioannis Kapetangeorgis, Anastasios Latsoudis +3

Composed Image Retrieval (CIR) allows users to search for images by combining a reference image with a text prompt that describes desired modifications. While vision-language model…

cs.LG2025

Forensic Activity Classification Using Digital Traces from iPhones: A Machine Learning-based Approach

Conor McCarthy, Jan Peter van Zandwijk, Marcel Worring +1

Smartphones and smartwatches are ever-present in daily life, and provide a rich source of information on their users' behaviour. In particular, digital traces derived from the phon…

cs.CV2025★ 2 cited

Hi-OSCAR: Hierarchical Open-set Classifier for Human Activity Recognition

Conor McCarthy, Loes Quirijnen, Jan Peter van Zandwijk +2

Within Human Activity Recognition (HAR), there is an insurmountable gap between the range of activities performed in life and those that can be captured in an annotated sensor data…

cs.CV2025

LATTE: Latent Trajectory Embedding for Diffusion-Generated Image Detection

Ana Vasilcoiu, Ivona Najdenkoska, Zeno Geradts +1

The rapid advancement of diffusion-based image generators has made it increasingly difficult to distinguish generated from real images. This erodes trust in digital media, making i…