Tim Salzmann

According to our database, Tim Salzmann authored at least 12 papers between 2018 and 2024.

Collaborative distances:

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

2024

Learning for CasADi: Data-driven models in numerical optimization.

Tim Salzmann, Jon Arrizabalaga, Joel Andersson, Marco Pavone, Markus Ryll

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detection.

Tim Salzmann, Markus Ryll, Alex Bewley, Matthias Minderer

Proceedings of the Computer Vision - ECCV 2024, 2024

Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling.

Olaf Dünkel, Tim Salzmann, Florian Pfaff

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Robots That Can See: Leveraging Human Pose for Trajectory Prediction.

Tim Salzmann, Hao-Tien Lewis Chiang, Markus Ryll, Dorsa Sadigh, Carolina Parada, Alex Bewley

IEEE Robotics Autom. Lett., November, 2023

Real-Time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms.

Tim Salzmann, Elia Kaufmann, Jon Arrizabalaga, Marco Pavone, Davide Scaramuzza, Markus Ryll

IEEE Robotics Autom. Lett., April, 2023

Robots That Can See: Leveraging Human Pose for Trajectory Prediction.

Tim Salzmann, Lewis Chiang, Markus Ryll, Dorsa Sadigh, Carolina Parada, Alex Bewley

CoRR, 2023

2022

Neural-MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms.

Tim Salzmann, Elia Kaufmann, Marco Pavone, Davide Scaramuzza, Markus Ryll

CoRR, 2022

Motron: Multimodal Probabilistic Human Motion Forecasting.

Tim Salzmann, Marco Pavone, Markus Ryll

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

Trajectron++: Multi-Agent Generative Trajectory Forecasting With Heterogeneous Data for Control.

Tim Salzmann, Boris Ivanovic, Punarjay Chakravarty, Marco Pavone

CoRR, 2020

Trajectron++: Dynamically-Feasible Trajectory Forecasting with Heterogeneous Data.

Tim Salzmann, Boris Ivanovic, Punarjay Chakravarty, Marco Pavone

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Online Path Generation from Sensor Data for Highly Automated Driving Functions.

Tim Salzmann, Julian Thomas, Thomas Kühbeck, Jou-ching Sung, Sebastian Wagner, Alois C. Knoll

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018

Context Prediction Architectures in Next Generation of Intelligent Cars.

Sina Shafaei, Fabian Muller, Tim Salzmann, Morteza Hashemi Farzaneh, Stefan Kugele, Alois C. Knoll

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018