Vortrag von Antitza Dantcheva

04. December 2025
Title: Computer Vision for deciphering and generating faces

Abstract: This talk will focus on my research that develops automated face analysis methods for applications in both security and healthcare. In the security domain, my research designs algorithms to estimate soft biometric attributes such as age, gender, and ethnicity, while addressing issues like bias and the effects of facial cosmetics. In healthcare, it contributes spatio-temporal methods for analyzing facial behavior and emotions, including apathy detection in Alzheimer’s patients. More recently, the study explores generative models for generating realistic videos and interpreting the latent factors of appearance and motion.

Bio: Antitza Dantcheva is a Directrice de Recherche with the STARS team at the Inria Center of Université Côte d’Azur in Sophia Antipolis, France. She was previously a Marie Curie Fellow at Inria and a Postdoctoral Fellow at Michigan State University and West Virginia University, USA. She received her Ph.D. in image processing and biometrics from Telecom ParisTech/Eurecom, France in 2011 and obtained her Habilitation from the Université Côte d’Azur, France in 2021. Her research focuses on computer vision, particularly on developing algorithms for interpreting and generating human faces, with applications in security and healthcare. More recently, she has focused on generative models for realistic video generation and the disentanglement of appearance and motion in latent spaces. She is the recipient of several distinctions, including the ANR JCJC grant, the ECCV 2022 New Technology Show Award, the IEEE FG 2019 Best Poster Award, and the BEFA Challenge Award at ECCV 2018. Furthermore, she serves as Associate Editor for multiple journals, has been Workshop Chair at CVPR 2024, Area Chair at ECCV 2024 and ACM Multimedia 2022, a member of IEEE Biometrics Council and ELLIS network, and a reviewer for the French ANR and other research funding agencies.

DATUM: 04. Dezember, 16:00 Uhr

Ort: Raum  CG0402, Gusshausstraße 25/E389, Institute of Telecommunications

 

Beitrag erstellt am: 08. Oktober 2025