Lucas Stoffl

According to our database, Lucas Stoffl authored at least 4 papers between 2017 and 2023.

Collaborative distances:

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

2023

Rethinking pose estimation in crowds: overcoming the detection information bottleneck and ambiguity.

Mu Zhou, Lucas Stoffl, Mackenzie Weygandt Mathis, Alexander Mathis

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

End-to-End Trainable Multi-Instance Pose Estimation with Transformers.

Lucas Stoffl, Maxime Vidal, Alexander Mathis

CoRR, 2021

2020

How are response properties in the middle temporal area related to inference on visual motion patterns?

Omid Rezai, Lucas Stoffl, Bryan P. Tripp

Neural Networks, 2020

2017

On the use of deep recurrent neural networks for detecting audio spoofing attacks.

Simone Scardapane, Lucas Stoffl, Florian Röhrbein, Aurelio Uncini

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017