activity
20162026
most citedC-VTON: Context-Driven Image-Based Virtual Try-On Network

62 citations · 99 across the 32 of their papers we have counts for

collaborators

34 papers

math.DS2026

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…

cs.CV2026

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,…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…