Boris Ivanovic
Title
Cited by
Cited by
Year
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
882019
Trajectron++: Dynamically-Feasible Trajectory Forecasting with Heterogeneous Data
T Salzmann, B Ivanovic, P Chakravarty, M Pavone
2020 European Conference on Computer Vision (ECCV), 2020
56*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
272018
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
202019
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
172020
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
62020
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
52020
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
52020
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
32020
Visual place recognition in changing environments with time-invariant image patch descriptors
B Ivanovic
Representation Learning in Computer Vision course, Stanford university, 2016
22016
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
12020
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
12019
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
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Articles 1–14