Tim Salzmann

17 papers A* 2Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — —
Deep Generative Models for Human-Centered Autonomous Systems: Machine Learning for Enhanced Perception, Prediction, and Planning and Control.
Tim Salzmann
2024 — conf
Learning for CasADi: Data-driven models in numerical optimization.
L4DC
Tim Salzmann, Jon Arrizabalaga, Joel Andersson, Marco Pavone, Markus Ryll
2024 A* conf
Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling.
CVPR
Olaf Dünkel, Tim Salzmann, Florian Pfaff
2024 J jnl
Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling.
CoRR
Olaf Dünkel, Tim Salzmann, Florian Pfaff
2024 — conf
Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detection.
ECCV (84)
Tim Salzmann, Markus Ryll, Alex Bewley, Matthias Minderer
2024 J jnl
Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detection.
CoRR
Tim Salzmann, Markus Ryll, Alex Bewley, Matthias Minderer
2023 J jnl
Learning for CasADi: Data-driven Models in Numerical Optimization.
CoRR
Tim Salzmann, Jon Arrizabalaga, Joel Andersson, Marco Pavone, Markus Ryll
2023 J jnl
Real-Time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms.
IEEE Robotics Autom. Lett.
Tim Salzmann, Elia Kaufmann, Jon Arrizabalaga, Marco Pavone, Davide Scaramuzza, Markus Ryll
2023 J jnl
Robots That Can See: Leveraging Human Pose for Trajectory Prediction.
CoRR
Tim Salzmann, Lewis Chiang, Markus Ryll, Dorsa Sadigh, Carolina Parada, Alex Bewley
2023 J jnl
Robots That Can See: Leveraging Human Pose for Trajectory Prediction.
IEEE Robotics Autom. Lett.
Tim Salzmann, Hao-Tien Lewis Chiang, Markus Ryll, Dorsa Sadigh, Carolina Parada, Alex Bewley
2022 A* conf
Motron: Multimodal Probabilistic Human Motion Forecasting.
CVPR
Tim Salzmann, Marco Pavone, Markus Ryll
2022 J jnl
Motron: Multimodal Probabilistic Human Motion Forecasting.
CoRR
Tim Salzmann, Marco Pavone, Markus Ryll
2022 J jnl
Neural-MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms.
CoRR
Tim Salzmann, Elia Kaufmann, Marco Pavone, Davide Scaramuzza, Markus Ryll
2020 — conf
Trajectron++: Dynamically-Feasible Trajectory Forecasting with Heterogeneous Data.
ECCV (18)
Tim Salzmann, Boris Ivanovic, Punarjay Chakravarty, Marco Pavone
2020 J jnl
Trajectron++: Multi-Agent Generative Trajectory Forecasting With Heterogeneous Data for Control.
CoRR
Tim Salzmann, Boris Ivanovic, Punarjay Chakravarty, Marco Pavone
2019 — conf
Online Path Generation from Sensor Data for Highly Automated Driving Functions.
ITSC
Tim Salzmann, Julian Thomas, Thomas Kühbeck, Jou-ching Sung, Sebastian Wagner, Alois C. Knoll
2018 — conf
Context Prediction Architectures in Next Generation of Intelligent Cars.
ITSC
Sina Shafaei, Fabian Muller, Tim Salzmann, Morteza Hashemi Farzaneh, Stefan Kugele, Alois C. Knoll