63 citations · 86 across the 14 of their papers we have counts for
15 papers
Infectious behaviour: Simulating the effects of communication and social influence on pathogen transmission in crowds
Sophia Johanna Wagner, Anne Templeton, Gerta Köster
Public health measures at mass gatherings work only if people follow them, and adherence depends both on how instructions are communicated and what others do. We link these behavio…
FIVA: Facial Image and Video Anonymization and Anonymization Defense
Felix Rosberg, Eren Erdal Aksoy, Cristofer Englund +1
In this paper, we present a new approach for facial anonymization in images and videos, abbreviated as FIVA. Our proposed method is able to maintain the same face anonymization con…
Drone navigation and license place detection for vehicle location in indoor spaces
Moa Arvidsson, Sithichot Sawirot, Cristofer Englund +3
Millions of vehicles are transported every year, tightly parked in vessels or boats. To reduce the risks of associated safety issues like fires, knowing the location of vehicles is…
FaceDancer: Pose- and Occlusion-Aware High Fidelity Face Swapping
Felix Rosberg, Eren Erdal Aksoy, Fernando Alonso-Fernandez +1
In this work, we present a new single-stage method for subject agnostic face swapping and identity transfer, named FaceDancer. We have two major contributions: Adaptive Feature Fus…
Drone Detection and Tracking in Real-Time by Fusion of Different Sensing Modalities
Fredrik Svanström, Fernando Alonso-Fernandez, Cristofer Englund
Automatic detection of flying drones is a key issue where its presence, especially if unauthorized, can create risky situations or compromise security. Here, we design and evaluate…
Performance Analysis of Out-of-Distribution Detection on Trained Neural Networks
Jens Henriksson, Christian Berger, Markus Borg +3
Several areas have been improved with Deep Learning during the past years. Implementing Deep Neural Networks (DNN) for non-safety related applications have shown remarkable achieve…
A dataset for multi-sensor drone detection
Fredrik Svanström, Fernando Alonso-Fernandez, Cristofer Englund
The use of small and remotely controlled unmanned aerial vehicles (UAVs), or drones, has increased in recent years. This goes in parallel with misuse episodes, with an evident thre…
AI perspectives in Smart Cities and Communities to enable road vehicle automation and smart traffic control
Cristofer Englund, Eren Erdal Aksoy, Fernando Alonso-Fernandez +3
Smart Cities and Communities (SCC) constitute a new paradigm in urban development. SCC ideates on a data-centered society aiming at improving efficiency by automating and optimizin…
Performance Analysis of Out-of-Distribution Detection on Various Trained Neural Networks
Jens Henriksson, Christian Berger, Markus Borg +3
Several areas have been improved with Deep Learning during the past years. For non-safety related products adoption of AI and ML is not an issue, whereas in safety critical applica…
Real-Time Drone Detection and Tracking With Visible, Thermal and Acoustic Sensors
Fredrik Svanstrom, Cristofer Englund, Fernando Alonso-Fernandez
This paper explores the process of designing an automatic multi-sensor drone detection system. Besides the common video and audio sensors, the system also includes a thermal infrar…
Towards Structured Evaluation of Deep Neural Network Supervisors
Jens Henriksson, Christian Berger, Markus Borg +4
Deep Neural Networks (DNN) have improved the quality of several non-safety related products in the past years. However, before DNNs should be deployed to safety-critical applicatio…
Safely Entering the Deep: A Review of Verification and Validation for Machine Learning and a Challenge Elicitation in the Automotive Industry
Markus Borg, Cristofer Englund, Krzysztof Wnuk +7
Deep Neural Networks (DNN) will emerge as a cornerstone in automotive software engineering. However, developing systems with DNNs introduces novel challenges for safety assessments…
Action and intention recognition of pedestrians in urban traffic
Dimitrios Varytimidis, Fernando Alonso-Fernandez, Boris Duran +1
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…
Expression Recognition Using the Periocular Region: A Feasibility Study
Fernando Alonso-Fernandez, Josef Bigun, Cristofer Englund
This paper investigates the feasibility of using the periocular region for expression recognition. Most works have tried to solve this by analyzing the whole face. Periocular is th…
Exploring home robot capabilities by medium fidelity prototyping
Martin Cooney, Sepideh Pashami, Yuantao Fan +9
In order for autonomous robots to be able to support people's well-being in homes and everyday environments, new interactive capabilities will be required, as exemplified by the so…