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Tim Salzmann
Tim Salzmann
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Trajectron++: Dynamically-feasible trajectory forecasting with heterogeneous data
T Salzmann, B Ivanovic, P Chakravarty, M Pavone
2020 European Conference on Computer Vision (ECCV), 683-700, 2020
913*2020
Real-time Neural-MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms
T Salzmann, E Kaufmann, J Arrizabalaga, M Pavone, D Scaramuzza, ...
IEEE Robotics and Automation Letters, 2023
62*2023
Motron: Multimodal Probabilistic Human Motion Forecasting
T Salzmann, M Pavone, M Ryll
IEEE/CVF Conference on Computer Vision and Pattern Recognition, 6457--6466, 2022
252022
Robots That Can See: Leveraging Human Pose for Trajectory Prediction
T Salzmann, HTL Chiang, M Ryll, D Sadigh, C Parada, A Bewley
IEEE Robotics and Automation Letters, 2023
72023
Online Path Generation from Sensor Data for Highly Automated Driving Functions
T Salzmann, J Thomas, T Kühbeck, J Sung, S Wagner, A Knoll
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 1807-1812, 2019
52019
Context prediction architectures in next generation of intelligent cars
S Shafaei, F Müller, T Salzmann, MH Farzaneh, S Kugele, A Knoll
2018 21st International Conference on Intelligent Transportation Systems …, 2018
22018
Human Scene Transformer
T Salzmann, L Chiang, M Ryll, D Sadigh, C Parada, A Bewley
2022 IEEE International Conference on Robotics and Automation (ICRA) - 4th …, 2023
1*2023
Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detection
T Salzmann, M Ryll, A Bewley, M Minderer
arXiv preprint arXiv:2403.14270, 2024
2024
Neural-Fields in Numerical Optimization with L4CasADi
T Salzmann, J Arrizabalaga, L Pries, M Ryll
RoboNerF: 1st Workshop On Neural Fields In Robotics at ICRA 2024, 2024
2024
Normalizing Flows on the Product Space of SO (3) Manifolds for Probabilistic Human Pose Modeling
O Dünkel, T Salzmann, F Pfaff
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
2024
Learning for CasADi: Data-driven Models in Numerical Optimization
T Salzmann, J Arrizabalaga, J Andersson, M Pavone, M Ryll
arXiv preprint arXiv:2312.05873, 2023
2023
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