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 | 847* | 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 | 47* | 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 | 21 | 2022 |
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 | 5 | 2023 |
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 | 5 | 2019 |
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 | 2 | 2018 |
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 |
Normalizing Flows on the Product Space of SO (3) Manifolds for Probabilistic Human Pose Modeling O Dünkel, T Salzmann, F Pfaff arXiv preprint arXiv:2404.05675, 2024 | | 2024 |
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 |
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 |