Viktor Kreß

According to our database, Viktor Kreß authored at least 16 papers between 2018 and 2023.

Collaborative distances:

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

2023

Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users' Trajectories.

Viktor Kress, Fabian Jeske, Stefan Zernetsch, Konrad Doll, Bernhard Sick

IEEE Trans. Intell. Veh., March, 2023

2022

A Holistic View on Probabilistic Trajectory Forecasting - Case Study. Cyclist Intention Detection.

Stefan Zernetsch, Hannes Reichert, Viktor Kress, Konrad Doll, Bernhard Sick

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

2021

Aschaffenburg Pose Dataset.

Viktor Kress, Stefan Zernetsch, Hannes Reichert, Manuel Hetzel, Maarten Bieshaar, Günther Reitberger, Erich Fuchs, Konrad Doll, Bernhard Sick

Dataset, November, 2021

Pedestrians and Cyclists in Road Traffic: Trajectories, 3D Poses and Semantic Maps.

Viktor Kress, Stefan Zernetsch, Maarten Bieshaar, Günther Reitberger, Erich Fuchs, Konrad Doll, Bernhard Sick

Dataset, June, 2021

Cyclist Intention Detection: A Probabilistic Approach.

Stefan Zernetsch, Hannes Reichert, Viktor Kress, Konrad Doll, Bernhard Sick

CoRR, 2021

Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information.

Stefan Zernetsch, Oliver Trupp, Viktor Kress, Konrad Doll, Bernhard Sick

Proceedings of the IEEE International Smart Cities Conference, 2021

2020

Pose Based Action Recognition of Vulnerable Road Users Using Recurrent Neural Networks.

Viktor Kress, Steven Schreck, Stefan Zernetsch, Konrad Doll, Bernhard Sick

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Image Sequence Based Cyclist Action Recognition Using Multi-Stream 3D Convolution.

Stefan Zernetsch, Steven Schreck, Viktor Kress, Konrad Doll, Bernhard Sick

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Pose Based Trajectory Forecast of Vulnerable Road Users Using Recurrent Neural Networks.

Viktor Kress, Stefan Zernetsch, Konrad Doll, Bernhard Sick

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019

Pose Based Trajectory Forecast of Vulnerable Road Users.

Viktor Kress, Stefan Zernetsch, Konrad Doll, Bernhard Sick

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Trajectory Forecasts with Uncertainties of Vulnerable Road Users by Means of Neural Networks.

Stefan Zernetsch, Hannes Reichert, Viktor Kress, Konrad Doll, Bernhard Sick

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Pose Based Start Intention Detection of Cyclists.

Viktor Kress, Janis Jung, Stefan Zernetsch, Konrad Doll, Bernhard Sick

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Start Intention Detection of Cyclists using an LSTM Network.

Viktor Kress, Janis Jung, Stefan Zernetsch, Konrad Doll, Bernhard Sick

Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik - Informatik für Gesellschaft, INFORMATIK 2019, 2019

2018

Highly Automated Learning for Improved Active Safety of Vulnerable Road Users.

Maarten Bieshaar, Günther Reitberger, Viktor Kreß, Stefan Zernetsch, Konrad Doll, Erich Fuchs, Bernhard Sick

CoRR, 2018

Human Pose Estimation in Real Traffic Scenes.

Viktor Kress, Janis Jung, Stefan Zernetsch, Konrad Doll, Bernhard Sick

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network.

Stefan Zernetsch, Viktor Kress, Bernhard Sick, Konrad Doll

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018