no code implementations • 23 Oct 2018 • Fernando Alonso-Fernandez, Josef Bigun, Cristofer Englund
Periocular is the facial region in the immediate vicinity of the eye.
no code implementations • 23 Oct 2018 • Dimitrios Varytimidis, Fernando Alonso-Fernandez, Boris Duran, Cristofer Englund
Action and intention recognition of pedestrians in urban settings are challenging problems for Advanced Driver Assistance Systems as well as future autonomous vehicles to maintain smooth and safe traffic.
no code implementations • 4 Mar 2019 • Jens Henriksson, Christian Berger, Markus Borg, Lars Tornberg, Cristofer Englund, Sankar Raman Sathyamoorthy, Stig Ursing
Deep Neural Networks (DNN) have improved the quality of several non-safety related products in the past years.
1 code implementation • 14 Jul 2020 • Fredrik Svanstrom, Cristofer Englund, Fernando Alonso-Fernandez
Besides the common video and audio sensors, the system also includes a thermal infrared camera, which is shown to be a feasible solution to the drone detection task.
no code implementations • 29 Mar 2021 • Jens Henriksson, Christian Berger, Markus Borg, Lars Tornberg, Sankar Raman Sathyamoorthy, Cristofer Englund
Understanding the relationship between training results and supervisor performance is valuable to improve robustness of the model and indicates where more work has to be done to create generalized models for safety critical applications.
no code implementations • 7 Apr 2021 • Cristofer Englund, Eren Erdal Aksoy, Fernando Alonso-Fernandez, Martin Daniel Cooney, Sepideh Pashami, Bjorn Astrand
This paper describes AI perspectives in SCC and gives an overview of AI-based technologies used in traffic to enable road vehicle automation and smart traffic control.
no code implementations • 2 Nov 2021 • Fredrik Svanström, Fernando Alonso-Fernandez, Cristofer Englund
To counteract the mentioned issues and allow fundamental studies with a common public benchmark, we contribute with an annotated multi-sensor database for drone detection that includes infrared and visible videos and audio files.
no code implementations • 26 Apr 2022 • Jens Henriksson, Christian Berger, Markus Borg, Lars Tornberg, Sankar Raman Sathyamoorthy, Cristofer Englund
Implementing Deep Neural Networks (DNN) for non-safety related applications have shown remarkable achievements over the past years; however, for using DNNs in safety critical applications, we are missing approaches for verifying the robustness of such models.
no code implementations • 5 Jul 2022 • Fredrik Svanström, Fernando Alonso-Fernandez, Cristofer Englund
In conjunction with standard video cameras and microphone sensors, we explore the use of thermal infrared cameras, pointed out as a feasible and promising solution that is scarcely addressed in the related literature.
1 code implementation • 19 Oct 2022 • Felix Rosberg, Eren Erdal Aksoy, Fernando Alonso-Fernandez, Cristofer Englund
In this work, we present a new single-stage method for subject agnostic face swapping and identity transfer, named FaceDancer.
Ranked #1 on Face Swapping on AFLW2000-3D
no code implementations • 19 Jul 2023 • Moa Arvidsson, Sithichot Sawirot, Cristofer Englund, Fernando Alonso-Fernandez, Martin Torstensson, Boris Duran
This work is aimed at creating a solution based on a nano-drone that navigates across rows of parked vehicles and detects their license plates.
no code implementations • 8 Sep 2023 • Felix Rosberg, Eren Erdal Aksoy, Cristofer Englund, Fernando Alonso-Fernandez
In this paper, we present a new approach for facial anonymization in images and videos, abbreviated as FIVA.
Ranked #1 on Face Anonymization on LFW