Boris Ivanovic

Orcid: 0000-0002-8698-202X

According to our database1, Boris Ivanovic authored at least 59 papers between 2017 and 2024.

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Bibliography

2024
Sample-efficient safety assurances using conformal prediction.
Int. J. Robotics Res., 2024

Large Spatial Model: End-to-end Unposed Images to Semantic 3D.
CoRR, 2024

System-Level Analysis of Module Uncertainty Quantification in the Autonomy Pipeline.
CoRR, 2024

Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning.
CoRR, 2024

Distributed NeRF Learning for Collaborative Multi-Robot Perception.
CoRR, 2024

Promptable Closed-loop Traffic Simulation.
CoRR, 2024

OmniRe: Omni Urban Scene Reconstruction.
CoRR, 2024

Wolf: Captioning Everything with a World Summarization Framework.
CoRR, 2024

Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving.
CoRR, 2024

NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking.
CoRR, 2024

DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features.
CoRR, 2024

Learning Traffic Crashes as Language: Datasets, Benchmarks, and What-if Causal Analyses.
CoRR, 2024

Countrywide natural experiment reveals impact of built environment on physical activity.
CoRR, 2024

Language-Image Models with 3D Understanding.
CoRR, 2024

InstantSplat: Unbounded Sparse-view Pose-free Gaussian Splatting in 40 Seconds.
CoRR, 2024

Parallelized Spatiotemporal Binding.
CoRR, 2024

DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Reinforcement Learning with Human Feedback for Realistic Traffic Simulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Parallelized Spatiotemporal Slot Binding for Videos.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention.
Proceedings of the Computer Vision - ECCV 2024, 2024

PARA-Drive: Parallelized Architecture for Real-Time Autonomous Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Driving Everywhere with Large Language Model Policy Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Producing and Leveraging Online Map Uncertainty in Trajectory Prediction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Partial-View Object View Synthesis via Filtering Inversion.
Proceedings of the International Conference on 3D Vision, 2024

2023
Partial-View Object View Synthesis via Filtered Inversion.
CoRR, 2023

trajdata: A Unified Interface to Multiple Human Trajectory Datasets.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

BITS: Bi-level Imitation for Traffic Simulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Tree-structured Policy Planning with Learned Behavior Models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Robust and Controllable Object-Centric Learning through Energy-based Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Language-Guided Traffic Simulation via Scene-Level Diffusion.
Proceedings of the Conference on Robot Learning, 2023

Language Conditioned Traffic Generation.
Proceedings of the Conference on Robot Learning, 2023

2022
MTP: Multi-hypothesis Tracking and Prediction for Reduced Error Propagation.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Injecting Planning-Awareness into Prediction and Detection Evaluation.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Propagating State Uncertainty Through Trajectory Forecasting.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Whose Track Is It Anyway? Improving Robustness to Tracking Errors with Affinity-based Trajectory Prediction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles.
Proceedings of the Conference on Robot Learning, 2022

Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles.
Proceedings of the Conference on Robot Learning, 2022

2021
Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach.
IEEE Robotics Autom. Lett., 2021

Rethinking Trajectory Forecasting Evaluation.
CoRR, 2021

Leveraging Neural Network Gradients within Trajectory Optimization for Proactive Human-Robot Interactions.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Content adaptive pre-filtering for video compression.
Signal Image Video Process., 2020

Trajectron++: Multi-Agent Generative Trajectory Forecasting With Heterogeneous Data for Control.
CoRR, 2020

Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Risk-Sensitive Sequential Action Control with Multi-Modal Human Trajectory Forecasting for Safe Crowd-Robot Interaction.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Map-Predictive Motion Planning in Unknown Environments.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Trajectron++: Dynamically-Feasible Trajectory Forecasting with Heterogeneous Data.
Proceedings of the Computer Vision - ECCV 2020, 2020

MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Content-aware video encoding for cloud gaming.
Proceedings of the 10th ACM Multimedia Systems Conference, 2019

BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning.
Proceedings of the International Conference on Robotics and Automation, 2019

The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Modeling Multimodal Dynamic Spatiotemporal Graphs.
CoRR, 2018

Generative Modeling of Multimodal Multi-Human Behavior.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Content-Adaptive Resolution Control To Improve Video Coding Efficiency.
Proceedings of the 2018 IEEE International Conference on Multimedia & Expo Workshops, 2018

2017
AdaPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems.
Proceedings of the Robotics Research, The 18th International Symposium, 2017


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