About me

I am a permanent researcher (Chargée de recherche (CR)) at the STARS team at INRIA Méditerranée in Sophia Antipolis, France, where I have been since 2014.

My research is in computer vision and machine learning. My latest results deal designing methods that learn representations of human faces, as well as learning predictive models of human faces.

News

The thesis of my former Ph.D. student, Dr. David Anghelone received the second prize in informatics from the Côte d'Azur University, 2023.

My second Ph.D. student, Dr. David Anghelone defended his Ph.D. entitled Computer vision and deep learning applied to face recognition in the invisible spectrum 29/06/2023 in front of the renowned jury comprising Prof. Anil Jain (MSU), Prof. Touradj Ebrahimi (EPFL), Prof. Jean-Luc Dugelay (Eurecom), Prof. Christian Rathgeb (Hochschule Darmstadt) and Dr. Marco Lorenzi (Inria), Sandra Cremer (Thales), Sarah Lannes (Thales).

Abhijit Das (BITS, Pilani, India) and me gave a tutorial on the Alpha and omega of deepfakes at the IEEE International Joint Conference on Biometrics (IJCB'23).

I was invited for a talk at the Institute for Computer Science, Artificial Intelligence and Technology (INSAIT) in Sofia, Bulgaria.

We (me, Abhijit Das (BITS, India), Hu Han (ICT, CAS, China), Christian Rathgeb (Hochschule Darmstadt, Germany), Naser Damer (Fraunhofer IGD, Germany), Luisa Verdoliva (Univ. Federico II of Naples, Italy) and Ruben Tolosana (Universidad Autonoma de Madrid, Spain)) are organizing a Special Issue of the EURASIP Journal on Image and Video Processing on Manipulation Detection in Digital Images and Videos. For the call for papers see here.

We (Abhijit Das (BITS, India), me (Inria, France), Srijan Das (Stony Brook University, USA), Hu Han (ICT, CAS, China), Francois Bremond (Inria, France), Xilin Chen (ICT, CAS, China)) are organizing a workshop entitled Artificial intelligence for automated human healthcare and monitoring in conjunction with the 17th IEEE International Conference on Automatic Face and Gesture Recognition (FG'23).

I am looking for interns, a Ph.D. student and PostDocs in the area of Computer Vision for video generation and deepfake detection. If you are interested, please email a full application to antitza.dantcheva@inria.fr, indicating [Open Positions Deepfake] in the email subjet line.

My first student, Dr. Yaohui Wang defended his Ph.D. entitled Learning to generate human videos 30/09/2021 in front of the renowned jury comprising Dr. George Drettakis (Inria), Dr. Panayiotis Georgiou (Apple), Dr. Ivan Laptev (Inria), Prof. Elisa Ricci (Univ. of Trento), Prof. Shiguang Shan (CAS), and Dr. Sergey Tulyakov (Snap).

I defended my Habilitation à diriger des recherches (HDR) entitled Computer Vision for deciphering and generating faces on the 10/09/2021 in front of the renowned committee comprising Prof. Mohamed Daoudi, Prof. Patrick Flynn (Univ. of Notre Dame), Prof. Anil Jain (MSU), Prof. Pierre Kornprobst (Inria), Prof. Albert Ali Salah (Utrecht Univer.) and Prof. Nicu Sebe (Univ. of Trento).

We (Abhijit Das (Thapar Univ., India), Babak Taati (Univ. Toronto, Canada), Antitza Dantcheva (Inria, France), Diego Guarin (Florida Institute of Tehnology, USA), Srijan Das (Stony Brook Univ., USA), Andrea Bandini (Univ. Toronto, Canada), Hu Han (ICT, CAS, China), Yana Yunusovva (Univ. Toronto, Canada), Francois Bremond (Inria, France), Xilin Chen (ICT, CAS, China) are organizing a special session on Applications in Healthcare and Health Monitoring at the 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG'21).

I gave a talk on Generating and Deciphering Faces at In'Tro Inria on 31/05/21. YouTube link.

We (Xiaobai Li (Univ. Oulu, Finnland), Hu Han (ICT, CAS, China), Antitza Dantcheva (Inria, France), Shiguan Shan (ICT, CAS, China), Guoying Zhao) are organizing the 2nd Remote Physiological Signal Sensing (RePSS) challenge/workshop in conjunction with ICCV'21. For details, see here.

I was interviewed on the topic of deepfakes for the Data Analytics Post. See article.

We (Wenjin Wang (Eindhoven University of Technology, Netherlands), Xiaobai Li (University of Oulu, Finland), Daniel McDuff (Microsoft Research, USA), Sander Stuijk (Eindhoven University of Technology, Netherlands), Hu Han (Chinese Academy of Sciences, China), Antitza Dantcheva (Inria, France), Guoying Zhao (University of Oulu, Finland), Shiguan Shan (Chinese Academy of Sciencces, China)) are organizing a workshop and challenge on Computer Vision for Physiological Measurement in conjunction with the Conference on Computer Vision and Pattern Recognition (CVPR'20).

We (Antitza Dantcheva (Inria, France), Abhijit Das (Inria, France), Francois Bremond (Inria, France), Hu Han (Chinese Academy of Sciencces, China) and Xilin Chen (Chinese Academy of Sciences, China)) are organizing a special session on Computer Vision for automated Human Health Monitoring at the 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG'20). For details, see here.

We (Antitza Dantcheva (Inria, France), SL Happy (Inria, France), Tamara Rezk (Inria, France) and Cunjian Chen (Michigan State University, USA)) are organizing a special session on advances and challenges in Face and Gesture based Security Systems (ACFGSS) at the 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG'20). For details, see here.

We (Cunjian Chen (Michigan State University, USA), Adam Czajka (University of Notre Dae, USA), Naser Damer (Fraunhofer IGD, Germany), Antitza Dantcheva (Inria, France), Hu Han (Chinese Academy of Sciences (CAS), China), Kiran Raja (NTNU, Norway) and Raghavendra Ramachandra (NTNU, Norway)) are organizing a workshop on Deepfakes and Presentation Attacks in Biometrics in conjunction with the Winter Conference on Appliations of Computer Vision (WACV'20). For details, see here.

I was interviewed for an article in Science et Vie on facial analysis, see the full article here.

We recceived a Best Poster Award at the 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2019) in Lille, France (the flagship face analysis conference) for the paper: "Robust remote heart rate estimation from face utilizing spatial-temporal attention" authored by Xuesong Niu, Xingyuan Zhao, Hu Han, Abhijit Das, Antitza Dantcheva, Shiguang Shan and Xilin Chen.

The ANR - DFG Project RESPECT launched.

We (Shiguang Shan (Chinese Academy of Sciencces, China), Hu Han (Chinese Academy of Sciencces, China), Abhijit Das (Inria, France), Antitza Dantcheva (Inria, France)) are organizing the Robust Tattoo Detection and Retrieval Competition (RTDRC 2019) associated to the 10th IEEE International Conferencce on Biometrics: Theory, Applications and Systems (BTAS 2019).

We (Wael Abd-Almageed (USC, USA), Antitza Dantcheva (Inria, France), Sebastien Marcel (Idiap, Switzerland)) are organizing a special session on The Future of Biometrics beyond Recognition and Anti-Spoofing at the 12th IAPR International Conference on Biometrics (ICB'19). For details, see here.

I was interviewed for an aticle in Charlie Hebdo on facial recognition, see the full article here.

We (Abhijit Das (Inria, France), Hu Han (Chinese Academy of Sciencces, China), Antitza Dantcheva (Inria, France), Francois Bremond (Inria, France), Xilin Chen (Chinese Academy of Sciences, China)) are organizing a special session on human health monitoring based on computer vision at the 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG'19). For details, see here.

We (Abhijit Das, Antitza Dantcheva, Francois Bremond) won the ECCV'18 challenge on bias estimation in face analysis (BEFA). The challenge placed focus on a pertinent, but largely neglected issue - the biasness of face analytics datasets, with respect to factors such as age, gender, ethnicity, pose and resolution. In order to progress toward balanced face recognition and attribute estimation truly in the wild, the BEFA - challenge introduced a well-balanced dataset across multiple factors: age, gender, ethnicity, pose and resolution and requested for algorithms to estimate biases.
We proposed a Multi-Task Convolutional Neural Network (MTCNN) algorithm that jointly learned gender, age and ethnicity by a loss function involving joint dynamic loss weight adjustment and was successful, as well as relatively unbiased in estimating age, gender and ethnicity. More details here.

We found a Ph.D. student in the area of Computer Vision and Deep Learning applied to Facial Analysis in invisibe spectra.

We are organizing a special session on mobile biometrics at the 9th international conference on biometrics: theory, applications and systems (BTAS'18). For details, see here.