Guy Rosman

Orcid: 0000-0002-9334-1706

According to our database1, Guy Rosman authored at least 81 papers between 2006 and 2024.

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Bibliography

2024
Concept Graph Neural Networks for Surgical Video Understanding.
IEEE Trans. Medical Imaging, January, 2024

Blending Data-Driven Priors in Dynamic Games.
CoRR, 2024

Personalizing Driver Safety Interfaces via Driver Cognitive Factors Inference.
CoRR, 2024

Hypergraph-Transformer (HGT) for Interactive Event Prediction in Laparoscopic and Robotic Surgery.
CoRR, 2024

2023
Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving.
IEEE Robotics Autom. Lett., 2023

Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models.
CoRR, 2023

GAME-UP: Game-Aware Mode Enumeration and Understanding for Trajectory Prediction.
CoRR, 2023

Specification-Guided Data Aggregation for Semantically Aware Imitation Learning.
CoRR, 2023

MPOGames: Efficient Multimodal Partially Observable Dynamic Games.
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.
Proceedings of the Conference on Robot Learning, 2023

2022
Learning an Explainable Trajectory Generator Using the Automaton Generative Network (AGN).
IEEE Robotics Autom. Lett., 2022

SUPR-GAN: SUrgical PRediction GAN for Event Anticipation in Laparoscopic and Robotic Surgery.
IEEE Robotics Autom. Lett., 2022

Learning Latent Traits for Simulated Cooperative Driving Tasks.
CoRR, 2022

TIP: Task-Informed Motion Prediction for Intelligent Vehicles.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Trajectory Prediction with Linguistic Representations.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

A Deep Concept Graph Network for Interaction-Aware Trajectory Prediction.
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.
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.
IEEE Robotics Autom. Lett., 2021

CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy.
IEEE Robotics Autom. Lett., 2021

TIP: Task-Informed Motion Prediction for Intelligent Systems.
CoRR, 2021

SUrgical PRediction GAN for Events Anticipation.
CoRR, 2021

Risk Conditioned Neural Motion Planning.
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.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

MAAD: A Model and Dataset for "Attended Awareness" in Driving.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling.
IEEE Robotics Autom. Lett., 2020

Deep Context Maps: Agent Trajectory Prediction Using Location-Specific Latent Maps.
IEEE Robotics Autom. Lett., 2020

Aggregating Long-Term Context for Learning Surgical Workflows.
CoRR, 2020

Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving.
Proceedings of the Robotics: Science and Systems XVI, 2020

Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Behaviorally Diverse Traffic Simulation via Reinforcement Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Driving Through Ghosts: Behavioral Cloning with False Positives.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

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

Differentiable Logic Layer for Rule Guided Trajectory Prediction.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Probabilistic Risk Metrics for Navigating Occluded Intersections.
IEEE Robotics Autom. Lett., 2019

Deep Context Map: Agent Trajectory Prediction using Location-specific Latent Maps.
CoRR, 2019

Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling.
CoRR, 2019

Infrastructure-free NLoS Obstacle Detection for Autonomous Cars.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections.
Proceedings of the International Conference on Robotics and Automation, 2019

Variational End-to-End Navigation and Localization.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Information-Driven Adaptive Structured-Light Scanners.
IEEE Trans. Computational Imaging, 2018

The Manhattan Frame Model - Manhattan World Inference in the Space of Surface Normals.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

ShadowCam: Real-Time Detection of Moving Obstacles Behind A Corner For Autonomous Vehicles.
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.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Task-Specific Sensor Planning for Robotic Assembly Tasks.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
A Nonparametric Model for Multimodal Collaborative Activities Summarization.
CoRR, 2017

Hybrid control and learning with coresets for autonomous vehicles.
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.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017


Persistent surveillance of events with unknown, time-varying statistics.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

On the Role of Representations for Reasoning in Large-Scale Urban Scenes.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
Persistent Surveillance of Events with Unknown Rate Statistics.
Proceedings of the Algorithmic Foundations of Robotics XII, 2016

Real-Time Depth Refinement for Specular Objects.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Multi-Region Active Contours with a Single Level Set Function.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Fleye on the car: big data meets the internet of things.
Proceedings of the 14th International Conference on Information Processing in Sensor Networks, 2015

Coresets for visual summarization with applications to loop closure.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

RGBD-fusion: Real-time high precision depth recovery.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Coresets for k-Segmentation of Streaming Data.
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.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Aerial Reconstructions via Probabilistic Data Fusion.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
On natural parametrizations of motion and structure manifolds.
PhD thesis, 2013

Patch-Collaborative Spectral Point-Cloud Denoising.
Comput. Graph. Forum, 2013

Perspective Photometric Stereo with Shadows.
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.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

On Globally Optimal Local Modeling: From Moving Least Squares to Over-parametrization.
Proceedings of the Innovations for Shape Analysis, Models and Algorithms, 2013

Group-Valued Regularization for Motion Segmentation of Articulated Shapes.
Proceedings of the Innovations for Shape Analysis, Models and Algorithms, 2013

2012
Group-Valued Regularization for Analysis of Articulated Motion.
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Articulated Motion Segmentation of Point Clouds by Group-Valued Regularization.
Proceedings of the 5th Eurographics Workshop on 3D Object Retrieval, 2012

Sparse Modeling of Shape from Structured Light.
Proceedings of the 2012 Second International Conference on 3D Imaging, 2012

2011
On Semi-implicit Splitting Schemes for the Beltrami Color Image Filtering.
J. Math. Imaging Vis., 2011

Over-Parameterized Optical Flow Using a Stereoscopic Constraint.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Group-Valued Regularization Framework for Motion Segmentation of Dynamic Non-rigid Shapes.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Fast Regularization of Matrix-Valued Images.
Proceedings of the Efficient Algorithms for Global Optimization Methods in Computer Vision, 2011

2010
Nonlinear Dimensionality Reduction by Topologically Constrained Isometric Embedding.
Int. J. Comput. Vis., 2010

Polyakov Action Minimization for Efficient Color Image Processing.
Proceedings of the Trends and Topics in Computer Vision, 2010

2009
Efficient Beltrami Image Filtering via Vector Extrapolation Methods.
SIAM J. Imaging Sci., 2009

On Semi-implicit Splitting Schemes for the Beltrami Color Flow.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

On reconstruction of non-rigid shapes with intrinsic regularization.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

2007
Efficient Beltrami Filtering of Color Images Via Vector Extrapolation.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

2006
Topologically Constrained Isometric Embedding.
Proceedings of the Human Motion, Understanding, Modelling, Capture, and Animation [Dagstuhl Seminar, 11.06., 2006


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