Guy Rosman

Naomi Ehrich Leonard

Maria Santos

Jaime Fernández Fisac

Proceedings of the Robotics: Science and Systems XX, 2024

Online Adaptation of Learned Vehicle Dynamics Model with Meta-Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Learning autonomous driving from aerial imagery.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2023

GAME-UP: Game-Aware Mode Enumeration and Understanding for Trajectory Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

Specification-Guided Data Aggregation for Semantically Aware Imitation Learning.

[BibT_eX]

[DOI]

CoRR, 2023

MPOGames: Efficient Multimodal Partially Observable Dynamic Games.

[BibT_eX]

[DOI]

Evangelos A. Theodorou

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

2022

Learning an Explainable Trajectory Generator Using the Automaton Generative Network (AGN).

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

SUPR-GAN: SUrgical PRediction GAN for Event Anticipation in Laparoscopic and Robotic Surgery.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Learning Latent Traits for Simulated Cooperative Driving Tasks.

[BibT_eX]

[DOI]

CoRR, 2022

TIP: Task-Informed Motion Prediction for Intelligent Vehicles.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Trajectory Prediction with Linguistic Representations.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

A Deep Concept Graph Network for Interaction-Aware Trajectory Prediction.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

HMIway-env: A Framework for Simulating Behaviors and Preferences to Support Human-AI Teaming in Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Vehicle Trajectory Prediction Using Generative Adversarial Network With Temporal Logic Syntax Tree Features.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

TIP: Task-Informed Motion Prediction for Intelligent Systems.

[BibT_eX]

[DOI]

CoRR, 2021

SUrgical PRediction GAN for Events Anticipation.

[BibT_eX]

[DOI]

CoRR, 2021

Risk Conditioned Neural Motion Planning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Aggregating Long-Term Context for Learning Laparoscopic and Robot-Assisted Surgical Workflows.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

MAAD: A Model and Dataset for "Attended Awareness" in Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2020

Deep Context Maps: Agent Trajectory Prediction Using Location-Specific Latent Maps.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2020

Aggregating Long-Term Context for Learning Surgical Workflows.

[BibT_eX]

[DOI]

CoRR, 2020

Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XVI, 2020

Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation.

[BibT_eX]

[DOI]

Daisuke Nishiyama

Mario Ynocente Castro

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Behaviorally Diverse Traffic Simulation via Reinforcement Learning.

[BibT_eX]

[DOI]

Shinya Shiroshita

Shirou Maruyama

Daisuke Nishiyama

Mario Ynocente Castro

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Driving Through Ghosts: Behavioral Cloning with False Positives.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

Differentiable Logic Layer for Rule Guided Trajectory Prediction.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Probabilistic Risk Metrics for Navigating Occluded Intersections.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2019

Deep Context Map: Agent Trajectory Prediction using Location-specific Latent Maps.

[BibT_eX]

[DOI]

CoRR, 2019

Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling.

[BibT_eX]

[DOI]

CoRR, 2019

Infrastructure-free NLoS Obstacle Detection for Autonomous Cars.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Variational End-to-End Navigation and Localization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Information-Driven Adaptive Structured-Light Scanners.

[BibT_eX]

[DOI]

Daniela Rus

John W. Fisher III

IEEE Trans. Computational Imaging, 2018

The Manhattan Frame Model - Manhattan World Inference in the Space of Surface Normals.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2018

ShadowCam: Real-Time Detection of Moving Obstacles Behind A Corner For Autonomous Vehicles.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Variational Autoencoder for End-to-End Control of Autonomous Driving with Novelty Detection and Training De-biasing.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Task-Specific Sensor Planning for Robotic Assembly Tasks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

A Nonparametric Model for Multimodal Collaborative Activities Summarization.

[BibT_eX]

[DOI]

John W. Fisher III

Daniela Rus

CoRR, 2017

Hybrid control and learning with coresets for autonomous vehicles.

[BibT_eX]

[DOI]

Anastasia Dubrovina-Karni

Liam Paull

Daniela Rus

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Machine learning and coresets for automated real-time video segmentation of laparoscopic and robot-assisted surgery.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Duckietown: An open, inexpensive and flexible platform for autonomy education and research.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Persistent surveillance of events with unknown, time-varying statistics.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

On the Role of Representations for Reasoning in Large-Scale Urban Scenes.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Persistent Surveillance of Events with Unknown Rate Statistics.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Foundations of Robotics XII, 2016

Real-Time Depth Refinement for Specular Objects.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Multi-Region Active Contours with a Single Level Set Function.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Fleye on the car: big data meets the internet of things.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Information Processing in Sensor Networks, 2015

Coresets for visual summarization with applications to loop closure.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

RGBD-fusion: Real-time high precision depth recovery.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Coresets for k-Segmentation of Streaming Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

A Mixture of Manhattan Frames: Beyond the Manhattan World.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Aerial Reconstructions via Probabilistic Data Fusion.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

On natural parametrizations of motion and structure manifolds.

[BibT_eX]

[DOI]

PhD thesis, 2013

Patch-Collaborative Spectral Point-Cloud Denoising.

[BibT_eX]

[DOI]

Anastasia Dubrovina

Comput. Graph. Forum, 2013

Perspective Photometric Stereo with Shadows.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

Active Contours for Multi-region Image Segmentation with a Single Level Set Function.

[BibT_eX]

[DOI]

Anastasia Dubrovina

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

On Globally Optimal Local Modeling: From Moving Least Squares to Over-parametrization.

[BibT_eX]

[DOI]

Proceedings of the Innovations for Shape Analysis, Models and Algorithms, 2013

Group-Valued Regularization for Motion Segmentation of Articulated Shapes.

[BibT_eX]

[DOI]

Alon Wolf

Proceedings of the Innovations for Shape Analysis, Models and Algorithms, 2013

2012

Group-Valued Regularization for Analysis of Articulated Motion.

[BibT_eX]

[DOI]

Xue-Cheng Tai

Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Articulated Motion Segmentation of Point Clouds by Group-Valued Regularization.

[BibT_eX]

[DOI]

Proceedings of the 5th Eurographics Workshop on 3D Object Retrieval, 2012

Sparse Modeling of Shape from Structured Light.

[BibT_eX]

[DOI]

Anastasia Dubrovina

Proceedings of the 2012 Second International Conference on 3D Imaging, 2012

2011

On Semi-implicit Splitting Schemes for the Beltrami Color Image Filtering.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2011

Over-Parameterized Optical Flow Using a Stereoscopic Constraint.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Group-Valued Regularization Framework for Motion Segmentation of Dynamic Non-rigid Shapes.

[BibT_eX]

[DOI]

Alon Wolf

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Fast Regularization of Matrix-Valued Images.

[BibT_eX]

[DOI]

Proceedings of the Efficient Algorithms for Global Optimization Methods in Computer Vision, 2011

2010

Nonlinear Dimensionality Reduction by Topologically Constrained Isometric Embedding.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2010

Polyakov Action Minimization for Efficient Color Image Processing.

[BibT_eX]

[DOI]

Proceedings of the Trends and Topics in Computer Vision, 2010

2009

Efficient Beltrami Image Filtering via Vector Extrapolation Methods.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2009

On Semi-implicit Splitting Schemes for the Beltrami Color Flow.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

On reconstruction of non-rigid shapes with intrinsic regularization.

[BibT_eX]

[DOI]

Yohai S. Devir

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

2007

Efficient Beltrami Filtering of Color Images Via Vector Extrapolation.

[BibT_eX]

[DOI]

Lorina Dascal

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

2006

Topologically Constrained Isometric Embedding.

[BibT_eX]

[DOI]