| The Trajectron: Probabilistic multi-agent trajectory modeling with dynamic spatiotemporal graphs B Ivanovic, M Pavone Proceedings of the IEEE International Conference on Computer Vision, 2375-2384, 2019 | 86 | 2019 |
| Trajectron++: Dynamically-Feasible Trajectory Forecasting with Heterogeneous Data T Salzmann, B Ivanovic, P Chakravarty, M Pavone 2020 European Conference on Computer Vision (ECCV), 2020 | 55* | 2020 |
| Generative modeling of multimodal multi-human behavior B Ivanovic, E Schmerling, K Leung, M Pavone 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 27 | 2018 |
| Barc: Backward reachability curriculum for robotic reinforcement learning B Ivanovic, J Harrison, A Sharma, M Chen, M Pavone 2019 International Conference on Robotics and Automation (ICRA), 15-21, 2019 | 20 | 2019 |
| AdaPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems J Harrison, A Garg, B Ivanovic, Y Zhu, S Savarese, L Fei-Fei, M Pavone Robotics Research, 437-453, 2020 | 17 | 2020 |
| Multimodal deep generative models for trajectory prediction: A conditional variational autoencoder approach B Ivanovic, K Leung, E Schmerling, M Pavone IEEE Robotics and Automation Letters 6 (2), 295-302, 2020 | 6 | 2020 |
| Risk-sensitive sequential action control with multi-modal human trajectory forecasting for safe crowd-robot interaction H Nishimura, B Ivanovic, A Gaidon, M Pavone, M Schwager 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 | 5 | 2020 |
| Map-predictive motion planning in unknown environments A Elhafsi, B Ivanovic, L Janson, M Pavone 2020 IEEE International Conference on Robotics and Automation (ICRA), 8552-8558, 2020 | 5 | 2020 |
| MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control B Ivanovic, A Elhafsi, G Rosman, A Gaidon, M Pavone 2020 Conference on Robot Learning (CoRL), 2020 | 3 | 2020 |
| Visual place recognition in changing environments with time-invariant image patch descriptors B Ivanovic Representation Learning in Computer Vision course, Stanford university, 2016 | 2 | 2016 |
| Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders M Itkina, B Ivanovic, R Senanayake, MJ Kochenderfer, M Pavone 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 2020 | 1 | 2020 |
| Evidential Disambiguation of Latent Multimodality in Conditional Variational Autoencoders M Itkina, B Ivanovic, R Senanayake, MJ Kochenderfer, M Pavone Conf. on Neural Information Processing Systems-Workshop on Bayesian Deep …, 2019 | 1 | 2019 |
| Leveraging Neural Network Gradients within Trajectory Optimization for Proactive Human-Robot Interactions S Schaefer, K Leung, B Ivanovic, M Pavone 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021 | | 2021 |
| Learning a Visual State Representation for Generative Adversarial Imitation Learning B Ivanovic, Y Zhu, A Garg, S Savarese | | |
Marco PavoneAssociate Professor of Aeronautics and Astronautics, Stanford UniversityBestätigte E-Mail-Adresse bei stanford.edu
