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Tim Salzmann
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2020 – today
- 2024
- [c7]Olaf Dünkel, Tim Salzmann, Florian Pfaff:
Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling. CVPR 2024: 2285-2294 - [c6]Tim Salzmann, Markus Ryll, Alex Bewley, Matthias Minderer:
Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detection. ECCV (84) 2024: 195-213 - [c5]Tim Salzmann, Jon Arrizabalaga, Joel Andersson, Marco Pavone, Markus Ryll:
Learning for CasADi: Data-driven models in numerical optimization. L4DC 2024: 541-553 - [i7]Tim Salzmann, Markus Ryll, Alex Bewley, Matthias Minderer:
Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detection. CoRR abs/2403.14270 (2024) - [i6]Olaf Dünkel, Tim Salzmann, Florian Pfaff:
Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling. CoRR abs/2404.05675 (2024) - 2023
- [j2]Tim Salzmann, Elia Kaufmann, Jon Arrizabalaga, Marco Pavone, Davide Scaramuzza, Markus Ryll:
Real-Time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms. IEEE Robotics Autom. Lett. 8(4): 2397-2404 (2023) - [j1]Tim Salzmann, Hao-Tien Lewis Chiang, Markus Ryll, Dorsa Sadigh, Carolina Parada, Alex Bewley:
Robots That Can See: Leveraging Human Pose for Trajectory Prediction. IEEE Robotics Autom. Lett. 8(11): 7090-7097 (2023) - [i5]Tim Salzmann, Lewis Chiang, Markus Ryll, Dorsa Sadigh, Carolina Parada, Alex Bewley:
Robots That Can See: Leveraging Human Pose for Trajectory Prediction. CoRR abs/2309.17209 (2023) - [i4]Tim Salzmann, Jon Arrizabalaga, Joel Andersson, Marco Pavone, Markus Ryll:
Learning for CasADi: Data-driven Models in Numerical Optimization. CoRR abs/2312.05873 (2023) - 2022
- [c4]Tim Salzmann, Marco Pavone, Markus Ryll:
Motron: Multimodal Probabilistic Human Motion Forecasting. CVPR 2022: 6447-6456 - [i3]Tim Salzmann, Marco Pavone, Markus Ryll:
Motron: Multimodal Probabilistic Human Motion Forecasting. CoRR abs/2203.04132 (2022) - [i2]Tim Salzmann, Elia Kaufmann, Marco Pavone, Davide Scaramuzza, Markus Ryll:
Neural-MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms. CoRR abs/2203.07747 (2022) - 2020
- [c3]Tim Salzmann, Boris Ivanovic, Punarjay Chakravarty, Marco Pavone:
Trajectron++: Dynamically-Feasible Trajectory Forecasting with Heterogeneous Data. ECCV (18) 2020: 683-700 - [i1]Tim Salzmann, Boris Ivanovic, Punarjay Chakravarty, Marco Pavone:
Trajectron++: Multi-Agent Generative Trajectory Forecasting With Heterogeneous Data for Control. CoRR abs/2001.03093 (2020)
2010 – 2019
- 2019
- [c2]Tim Salzmann, Julian Thomas, Thomas Kühbeck, Jou-ching Sung, Sebastian Wagner, Alois C. Knoll:
Online Path Generation from Sensor Data for Highly Automated Driving Functions. ITSC 2019: 1807-1812 - 2018
- [c1]Sina Shafaei, Fabian Muller, Tim Salzmann, Morteza Hashemi Farzaneh, Stefan Kugele, Alois C. Knoll:
Context Prediction Architectures in Next Generation of Intelligent Cars. ITSC 2018: 2923-2930
Coauthor Index
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