Search Results for author:
Found 12 papers, 2 papers with code
FaceDancer: Pose- and Occlusion-Aware High Fidelity Face Swapping
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
Real-Time Drone Detection and Tracking With Visible, Thermal and Acoustic Sensors
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.
Action and intention recognition of pedestrians in urban traffic
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.
Expression Recognition Using the Periocular Region: A Feasibility Study
Periocular is the facial region in the immediate vicinity of the eye.
Towards Structured Evaluation of Deep Neural Network Supervisors
Deep Neural Networks (DNN) have improved the quality of several non-safety related products in the past years.
Performance Analysis of Out-of-Distribution Detection on Various Trained Neural Networks
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.
AI perspectives in Smart Cities and Communities to enable road vehicle automation and smart traffic control
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.
A dataset for multi-sensor drone detection
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.
Performance Analysis of Out-of-Distribution Detection on Trained Neural Networks
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.
Drone Detection and Tracking in Real-Time by Fusion of Different Sensing Modalities
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.
Drone navigation and license place detection for vehicle location in indoor spaces
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.
FIVA: Facial Image and Video Anonymization and Anonymization Defense
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
