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Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data
Ivan DeAndres-Tame;Ruben Tolosana;Pietro Melzi;Ruben Vera-Rodriguez;Minchul Kim;Christian Rathgeb;Xiaoming Liu;Aythami Morales;Julian Fierrez;Javier Ortega-Garcia;Zhizhou Zhong;Yuge Huang;Yuxi Mi;Shouhong Ding;Shuigeng Zhou;Shuai He;Lingzhi Fu;Heng Cong;Rongyu Zhang;Zhihong Xiao;Evgeny Smirnov;Anton Pimenov;Aleksei Grigorev;Denis Timoshenko;Kaleb Mesfin Asfaw;Cheng Yaw Low;Hao Liu;Chuyi Wang;Qing Zuo;Zhixiang He;Hatef Otroshi Shahreza;Anjith George;Alexander Unnervik;Parsa Rahimi;Sébastien Marcel;Pedro C. Neto;Marco Huber;Jan Niklas Kolf;Naser Damer;Fadi Boutros;Jaime S. Cardoso;Ana F. Sequeira;Andrea Atzori;Gianni Fenu;Mirko Marras;Vitomir Štruc;Jiang Yu;Zhangjie Li;Jichun Li;Weisong Zhao;Zhen Lei;Xiangyu Zhu;Xiao-Yu Zhang;Bernardo Biesseck;Pedro Vidal;Luiz Coelho;Roger Granada;David Menotti
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2024 | Conference Paper |
Cited by: Papers (1)
Synthetic data is gaining increasing relevance for training machine learning models. This is mainly motivated due to several factors such as the lack of real data and intra-class variability, time and errors produced in manual labeling, and in some cases privacy concerns, among others. This paper presents an overview of the 2nd edition of the Face Recognition Challenge in the Era of Synthetic Data...Show More
Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data
Ivan DeAndres-Tame;Ruben Tolosana;Pietro Melzi;Ruben Vera-Rodriguez;Minchul Kim;Christian Rathgeb;Xiaoming Liu;Aythami Morales;Julian Fierrez;Javier Ortega-Garcia;Zhizhou Zhong;Yuge Huang;Yuxi Mi;Shouhong Ding;Shuigeng Zhou;Shuai He;Lingzhi Fu;Heng Cong;Rongyu Zhang;Zhihong Xiao;Evgeny Smirnov;Anton Pimenov;Aleksei Grigorev;Denis Timoshenko;Kaleb Mesfin Asfaw;Cheng Yaw Low;Hao Liu;Chuyi Wang;Qing Zuo;Zhixiang He;Hatef Otroshi Shahreza;Anjith George;Alexander Unnervik;Parsa Rahimi;Sébastien Marcel;Pedro C. Neto;Marco Huber;Jan Niklas Kolf;Naser Damer;Fadi Boutros;Jaime S. Cardoso;Ana F. Sequeira;Andrea Atzori;Gianni Fenu;Mirko Marras;Vitomir Štruc;Jiang Yu;Zhangjie Li;Jichun Li;Weisong Zhao;Zhen Lei;Xiangyu Zhu;Xiao-Yu Zhang;Bernardo Biesseck;Pedro Vidal;Luiz Coelho;Roger Granada;David Menotti
Year: 2024 | Conference Paper |
ProMark: Proactive Diffusion Watermarking for Causal Attribution
Vishal Asnani;John Collomosse;Tu Bui;Xiaoming Liu;Shruti Agarwal
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Year: 2024 | Conference Paper |
Cited by: Papers (1)
Generative AI (GenAI) is transforming creative work-flows through the capability to synthesize and manipulate images via high-level prompts. Yet creatives are not well supported to receive recognition or reward for the use of their content in GenAI training. To this end, we propose ProMark, a causal attribution technique to attribute a synthetically generated image to its training data concepts li...Show More
FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data
Pietro Melzi;Ruben Tolosana;Ruben Vera-Rodriguez;Minchul Kim;Christian Rathgeb;Xiaoming Liu;Ivan DeAndres-Tame;Aythami Morales;Julian Fierrez;Javier Ortega-Garcia;Weisong Zhao;Xiangyu Zhu;Zheyu Yan;Xiao-Yu Zhang;Jinlin Wu;Zhen Lei;Suvidha Tripathi;Mahak Kothari;Md Haider Zama;Debayan Deb;Bernardo Biesseck;Pedro Vidal;Roger Granada;Guilherme Fickel;Gustavo Führ;David Menotti;Alexander Unnervik;Anjith George;Christophe Ecabert;Hatef Otroshi Shahreza;Parsa Rahimi;Sébastien Marcel;Ioannis Sarridis;Christos Koutlis;Georgia Baltsou;Symeon Papadopoulos;Christos Diou;Nicolò Di Domenico;Guido Borghi;Lorenzo Pellegrini;Enrique Mas-Candela;Ángela Sánchez-Pérez;Andrea Atzori;Gianni Fenu;Fadi Boutros;Mirko Marras;Naser Damer
2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
Year: 2024 | Conference Paper |
Cited by: Papers (6)
Despite the widespread adoption of face recognition technology around the world, and its remarkable performance on current benchmarks, there are still several challenges that must be covered in more detail. This paper offers an overview of the Face Recognition Challenge in the Era of Synthetic Data (FRCSyn) organized at WACV 2024. This is the first international challenge aiming to explore the use...Show More
FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data
Pietro Melzi;Ruben Tolosana;Ruben Vera-Rodriguez;Minchul Kim;Christian Rathgeb;Xiaoming Liu;Ivan DeAndres-Tame;Aythami Morales;Julian Fierrez;Javier Ortega-Garcia;Weisong Zhao;Xiangyu Zhu;Zheyu Yan;Xiao-Yu Zhang;Jinlin Wu;Zhen Lei;Suvidha Tripathi;Mahak Kothari;Md Haider Zama;Debayan Deb;Bernardo Biesseck;Pedro Vidal;Roger Granada;Guilherme Fickel;Gustavo Führ;David Menotti;Alexander Unnervik;Anjith George;Christophe Ecabert;Hatef Otroshi Shahreza;Parsa Rahimi;Sébastien Marcel;Ioannis Sarridis;Christos Koutlis;Georgia Baltsou;Symeon Papadopoulos;Christos Diou;Nicolò Di Domenico;Guido Borghi;Lorenzo Pellegrini;Enrique Mas-Candela;Ángela Sánchez-Pérez;Andrea Atzori;Gianni Fenu;Fadi Boutros;Mirko Marras;Naser Damer
Year: 2024 | Conference Paper |
FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude
Feng Liu;Ryan Ashbaugh;Nicholas Chimitt;Najmul Hassan;Ali Hassani;Ajay Jaiswal;Minchul Kim;Zhiyuan Mao;Christopher Perry;Zhiyuan Ren;Yiyang Su;Pegah Varghaei;Kai Wang;Stanley Chan;Arun Ross;Humphrey Shi;Zhangyang Wang;Anil Jain;Xiaoming Liu
2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Year: 2024 | Conference Paper |
Cited by: Papers (6)
Whole-body biometric recognition is an important area of research due to its vast applications in law enforcement, border security, and surveillance. This paper presents the end-to-end design, development and evaluation of FarSight, an innovative software system designed for whole-body (fusion of face, gait and body shape) biometric recognition. FarSight accepts videos from elevated platforms and ...Show More
FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude
Feng Liu;Ryan Ashbaugh;Nicholas Chimitt;Najmul Hassan;Ali Hassani;Ajay Jaiswal;Minchul Kim;Zhiyuan Mao;Christopher Perry;Zhiyuan Ren;Yiyang Su;Pegah Varghaei;Kai Wang;Stanley Chan;Arun Ross;Humphrey Shi;Zhangyang Wang;Anil Jain;Xiaoming Liu
Year: 2024 | Conference Paper |
AG-ReID 2023: Aerial-Ground Person Re-identification Challenge Results
Kien Nguyen;Clinton Fookes;Sridha Sridharan;Feng Liu;Xiaoming Liu;Arun Ross;Dana Michalski;Huy Nguyen;Debayan Deb;Mahak Kothari;Manisha Saini;Dawei Du;Scott McCloskey;Gabriel Bertocco;Fernanda Andaló;Terrance E. Boult;Anderson Rocha;Haidong Zhu;Zhaoheng Zheng;Ram Nevatia;Zaigham Randhawa;Sinan Sabri;Gianfranco Doretto
2023 IEEE International Joint Conference on Biometrics (IJCB)
Year: 2023 | Conference Paper |
Cited by: Papers (2)
Person re-identification (Re-ID) on aerial-ground platforms has emerged as an intriguing topic within computer vision, presenting a plethora of unique challenges. Highflying altitudes of aerial cameras make persons appear differently in terms of viewpoints, poses, and resolution compared to the images of the same person viewed from ground cameras. Despite its potential, few algorithms have been de...Show More
AG-ReID 2023: Aerial-Ground Person Re-identification Challenge Results
Kien Nguyen;Clinton Fookes;Sridha Sridharan;Feng Liu;Xiaoming Liu;Arun Ross;Dana Michalski;Huy Nguyen;Debayan Deb;Mahak Kothari;Manisha Saini;Dawei Du;Scott McCloskey;Gabriel Bertocco;Fernanda Andaló;Terrance E. Boult;Anderson Rocha;Haidong Zhu;Zhaoheng Zheng;Ram Nevatia;Zaigham Randhawa;Sinan Sabri;Gianfranco Doretto
Year: 2023 | Conference Paper |
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