Alexander Unnervik

According to our database, Alexander Unnervik authored at least 6 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Model Pairing Using Embedding Translation for Backdoor Attack Detection on Open-Set Classification Tasks.

Alexander Unnervik, Hatef Otroshi-Shahreza, Anjith George, Sébastien Marcel

CoRR, 2024

2023

FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data.

Pietro Melzi, Ruben Tolosana, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Ivan DeAndres-Tame, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Weisong Zhao, Xiangyu Zhu, Zheyu Yan, Xiaoyu Zhang, Jinlin Wu, Zhen Lei, Suvidha Tripathi, Mahak Kothari, Md Haider Zama, Debayan Deb, Bernardo Biesseck, Pedro Vidal, Roger Granada, Guilherme P. 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, Fadi Boutros, Naser Damer, Gianni Fenu, Mirko Marras

CoRR, 2023

2022

An anomaly detection approach for backdoored neural networks: face recognition as a case study.

Alexander Unnervik, Sébastien Marcel

Proceedings of the 21st International Conference of the Biometrics Special Interest Group, 2022

2020

DMD: A Large-Scale Multi-modal Driver Monitoring Dataset for Attention and Alertness Analysis.

Juan Diego Ortega, Neslihan Kose, Paola Cañas, Min-An Chao, Alexander Unnervik, Marcos Nieto, Oihana Otaegui, Luis Salgado

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

Using High Performance Computing in Vehicles to Create Image Datasets for Deep Learning.

Branimir Malnar, Alexander Unnervik, Neslihan Köse

Proceedings of the 42nd International Convention on Information and Communication Technology, 2019

Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal Approach.

Neslihan Kose, Okan Köpüklü, Alexander Unnervik, Gerhard Rigoll

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019