62 citations · 99 across the 32 of their papers we have counts for
9 papers · 1 filter
Infectious behaviour: Simulating the effects of communication and social influence on pathogen transmission in crowds
Sophia Johanna Wagner, Anne Templeton, Gerta Köster
Public health measures at mass gatherings work only if people follow them, and adherence depends both on how instructions are communicated and what others do. We link these behavio…
GRACE: Adaptive Concept Erasure with Geometry-Guided Retention in Diffusion Models
Qinghui Gong, Yihuai Liang, Yuanlun Xie +3
Text-to-image (T2I) diffusion models inevitably internalize sensitive or non-compliant concepts from large-scale pretraining data, necessitating post-hoc concept erasure. However,…
SCOUT: Semantic Concept Discovery for Open-Vocabulary Editing of face Recognition Templates
Leon Todorov, Peter Rot, Peter Peer +2
Face recognition templates are compact identity representations, yet they also encode rich semantic information about facial appearance. Prior work has shown that templates can be…
IJCB-AFMFR 2026: Competition on Adapting Foundation Models for Face Recognition Using Synthetic Training Data
Tahar Chettaoui, Guray Ozgur, Eduarda Caldeira +13
This paper presents a summary of the Competition on Adapting Foundation Models for Face Recognition Using Synthetic Training Data (AFMFR), held at the 2026 International Joint Conf…
Beyond Error-vs-Discard Characteristic: Toward Stable and Reliable Evaluation for Face Image Quality Assessment
Bhavesh Wani, Žiga Babnik, Vitomir Štruc +1
Face Image Quality Assessment (FIQA) aims to estimate the utility of facial images for reliable recognition. The evaluation of FIQA methods is predominantly based on the Error-vers…
Employing Vision-Language Models for Face Image Quality Assessment
Erdi Sarıtaş, Eren Onaran, Vitomir Štruc +1
Face Image Quality Assessment (FIQA) is a crucial control step in biometric pipelines. It ensures only reliable samples are processed to maintain system accuracy. State-of-the-art…