Guy Rosman - RankMe

141 papers A* 25A 10B 1C 1Misc 4Journal 70Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On the Strengths and Weaknesses of Data for Open-set Embodied Assistance. CoRR Pradyumna Tambwekar, Andrew Silva, Deepak Edakkattil Gopinath, Jonathan A. DeCastro, Xiongyi Cui, Guy Rosman
2026	—	`conf`	Skill Modulates Coaching Language in Embodied Motor Learning. CHI Extended Abstracts Mariah Lynn Schrum, Srijan Srivatsa, Laporsha Dees, Evelyn Dixon, Patricio Reyes Gomez, Deepak E. Gopinath, Emily Sarah Sumner, Guy Rosman, Tiffany L. Chen
2026	J	`jnl`	Surg-R1: A Hierarchical Reasoning Foundation Model for Scalable and Interpretable Surgical Decision Support with Multi-Center Clinical Validation. CoRR Jian Jiang, Chenxi Lin, Yiming Gu, Zengyi Qin, Zhitao Zeng, Kun Yuan, Yonghao Long, Xiang Xia, Cheng Yuan, Yuqi Wang, Zijie Yue, Kunyi Yang, Yuting Zhang, Zhu Zhuo, Dian Qin, Xin Wang, Chi-Fai Ng, Brian Anthony, Daguang Xu, Guy Rosman, Ozanan R. Meireles, Zizhen Zhang, Nicolas Padoy, Hesheng Wang, Qi Dou, Yueming Jin, Yutong Ban
2026	J	`jnl`	SutureAgent: Learning Surgical Trajectories via Goal-conditioned Offline RL in Pixel Space. CoRR Huanrong Liu, Chunlin Tian, Tongyu Jia, Tailai Zhou, Qin Liu, Yu Gao, Yutong Ban, Yun Gu, Guy Rosman, Xin Ma, Qingbiao Li
2025	—	`conf`	A Simulator Dataset to Support the Study of Impaired Driving. ITSC John Gideon, Kimimasa Tamura, Emily Sumner, Laporsha Dees, Patricio Reyes Gomez, Bassam ul Haq, Todd Rowell, Avinash Balachandran, Simon Stent, Guy Rosman
2025	J	`jnl`	A Simulator Dataset to Support the Study of Impaired Driving. CoRR John Gideon, Kimimasa Tamura, Emily Sumner, Laporsha Dees, Patricio Reyes Gomez, Bassam ul Haq, Todd Rowell, Avinash Balachandran, Simon Stent, Guy Rosman
2025	A*	`conf`	Computational Teaching for Driving via Multi-Task Imitation Learning. ICRA Deepak E. Gopinath, Xiongyi Cui, Jonathan A. DeCastro, Emily Sumner, Jean Costa, Hiroshi Yasuda, Allison Morgan, Laporsha Dees, Sheryl Chau, John J. Leonard, Tiffany L. Chen, Guy Rosman, Avinash Balachandran
2025	—	`conf`	Enhancing Trust Repair in Driving: The Role of AI Emotional Expression and Perceived Control. ITSC Xinyue Hu, Laporsha Dees, Deepak E. Gopinath, Andrew Silva, Jonathan A. DeCastro, Guy Rosman, Emily Sumner
2025	J	`jnl`	Estimating cognitive biases with attention-aware inverse planning. CoRR Sounak Banerjee, Daphne Cornelisse, Deepak Edakkattil Gopinath, Emily Sumner, Jonathan A. DeCastro, Guy Rosman, Eugene Vinitsky, Mark K. Ho
2025	—	`conf`	From Dashboards to Dialogue: Evaluating a Conversational AI Coach for Performance Driving Skill Development. AutomotiveUI Jean Costa, Allison Morgan, Hiroshi Yasuda, Emily Sarah Sumner, Deepak Edakkattil Gopinath, Sheryl Chau, Hieu Nguyen, Andrew Best, Guy Rosman, Tiffany L. Chen
2025	A*	`conf`	Generating Out-of-Distribution Scenarios Using Language Models. ICRA Erfan Aasi, Phat Nguyen, Shiva Sreeram, Guy Rosman, Sertac Karaman, Daniela Rus
2025	J	`jnl`	Holistic Surgical Phase Recognition with Hierarchical Input Dependent State Space Models. CoRR Haoyang Wu, Tsun-Hsuan Wang, Mathias Lechner, Ramin M. Hasani, Jennifer A. Eckhoff, Paul Pak, Ozanan R. Meireles, Guy Rosman, Yutong Ban, Daniela Rus
2025	A*	`conf`	Hypergraph-Transformer (HGT) for Interaction Event Prediction in Laparoscopic and Robotic Surgery. ICRA Lianhao Yin, Yutong Ban, Jennifer A. Eckhoff, Ozanan R. Meireles, Daniela Rus, Guy Rosman
2025	J	`jnl`	Learning to Plan, Planning to Learn: Adaptive Hierarchical RL-MPC for Sample-Efficient Decision Making. CoRR Toshiaki Hori, Jonathan A. DeCastro, Deepak E. Gopinath, Avinash Balachandran, Guy Rosman
2025	J	`jnl`	Probing Multimodal LLMs as World Models for Driving. IEEE Robotics Autom. Lett. Shiva Sreeram, Tsun-Hsuan Wang, Alaa Maalouf, Guy Rosman, Sertac Karaman, Daniela Rus
2025	A*	`conf`	ReGen: Generative Robot Simulation via Inverse Design. ICLR Phat Nguyen, Tsun-Hsuan Wang, Zhang-Wei Hong, Erfan Aasi, Andrew Silva, Guy Rosman, Sertac Karaman, Daniela Rus
2025	J	`jnl`	ReGen: Generative Robot Simulation via Inverse Design. CoRR Phat Nguyen, Tsun-Hsuan Wang, Zhang-Wei Hong, Erfan Aasi, Andrew Silva, Guy Rosman, Sertac Karaman, Daniela Rus
2025	J	`jnl`	SAFe-Copilot: Unified Shared Autonomy Framework. CoRR Phat Nguyen, Erfan Aasi, Shiva Sreeram, Guy Rosman, Andrew Silva, Sertac Karaman, Daniela Rus
2025	J	`jnl`	Safety with Agency: Human-Centered Safety Filter with Application to AI-Assisted Motorsports. CoRR Donggeon David Oh, Justin Lidard, Haimin Hu, Himani Sinhmar, Elle Lazarski, Deepak Edakkattil Gopinath, Emily S. Sumner, Jonathan A. DeCastro, Guy Rosman, Naomi Ehrich Leonard, Jaime Fernández Fisac
2025	A*	`conf`	Shared Autonomy for Proximal Teaching. HRI Megha Srivastava, Reihaneh Iranmanesh, Yuchen Cui, Deepak Edakkattil Gopinath, Emily Sarah Sumner, Andrew Silva, Laporsha Dees, Guy Rosman, Dorsa Sadigh
2025	J	`jnl`	Shared Autonomy for Proximal Teaching. CoRR Megha Srivastava, Reihaneh Iranmanesh, Yuchen Cui, Deepak Edakkattil Gopinath, Emily Sumner, Andrew Silva, Laporsha Dees, Guy Rosman, Dorsa Sadigh
2025	J	`jnl`	SimCoachCorpus: A naturalistic dataset with language and trajectories for embodied teaching. CoRR Emily Sumner, Deepak E. Gopinath, Laporsha Dees, Patricio Reyes Gomez, Xiongyi Cui, Andrew Silva, Jean Costa, Allison Morgan, Mariah Schrum, Tiffany L. Chen, Avinash Balachandran, Guy Rosman
2025	J	`jnl`	Surgical Foundation Model Leveraging Compression and Entropy Maximization for Image-Guided Surgical Assistance. CoRR Lianhao Yin, Ozanan R. Meireles, Guy Rosman, Daniela Rus
2025	J	`jnl`	The SAGES Critical View of Safety Challenge: A Global Benchmark for AI-Assisted Surgical Quality Assessment. CoRR Deepak Alapatt, Jennifer A. Eckhoff, Zhiliang Lyu, Yutong Ban, Jean-Paul Mazellier, Sarah Choksi, Kunyi Yang, 2024 CVS Challenge Consortium, Quanzheng Li, Filippo Filicori, Xiang Li, Pietro Mascagni, Daniel A. Hashimoto, Guy Rosman, Ozanan R. Meireles, Nicolas Padoy
2025	A*	`conf`	Think Deep and Fast: Learning Neural Nonlinear Opinion Dynamics from Inverse Dynamic Games for Split-Second Interactions. ICRA Haimin Hu, Jaime Fernández Fisac, Naomi Ehrich Leonard, Deepak E. Gopinath, Jonathan A. DeCastro, Guy Rosman
2025	J	`jnl`	Timing the Message: Language-Based Notifications for Time-Critical Assistive Settings. CoRR Ya-Chuan Hsu, Jonathan A. DeCastro, Andrew Silva, Guy Rosman
2024	—	`conf`	Blending Data-Driven Priors in Dynamic Games. Robotics: Science and Systems Justin Lidard, Haimin Hu, Asher J. Hancock, Zixu Zhang, Albert Gimó Contreras, Vikash Modi, Jonathan A. DeCastro, Deepak Edakkattil Gopinath, Guy Rosman, Naomi Ehrich Leonard, Maria Santos, Jaime Fernández Fisac
2024	J	`jnl`	Blending Data-Driven Priors in Dynamic Games. CoRR Justin Lidard, Haimin Hu, Asher J. Hancock, Zixu Zhang, Albert Gimó Contreras, Vikash Modi, Jonathan A. DeCastro, Deepak E. Gopinath, Guy Rosman, Naomi Ehrich Leonard, María Santos, Jaime Fernández Fisac
2024	B	`conf`	Can Pupillometry be used to Detect Driver Hazard Awareness? SMC Kimimasa Tamura, John Gideon, Simon Stent, Guy Rosman
2024	J	`jnl`	Computational Teaching for Driving via Multi-Task Imitation Learning. CoRR Deepak E. Gopinath, Xiongyi Cui, Jonathan A. DeCastro, Emily Sumner, Jean Costa, Hiroshi Yasuda, Allison Morgan, Laporsha Dees, Sheryl Chau, John J. Leonard, Tiffany L. Chen, Guy Rosman, Avinash Balachandran
2024	J	`jnl`	Concept Graph Neural Networks for Surgical Video Understanding. IEEE Trans. Medical Imaging Yutong Ban, Jennifer A. Eckhoff, Thomas M. Ward, Daniel A. Hashimoto, Ozanan R. Meireles, Daniela Rus, Guy Rosman
2024	Misc	`conf`	Dreaming to Assist: Learning to Align with Human Objectives for Shared Control in High-Speed Racing. CoRL Jonathan A. DeCastro, Andrew Silva, Deepak E. Gopinath, Emily Sumner, Thomas Matrai Balch, Laporsha Dees, Guy Rosman
2024	J	`jnl`	Dreaming to Assist: Learning to Align with Human Objectives for Shared Control in High-Speed Racing. CoRR Jonathan A. DeCastro, Andrew Silva, Deepak E. Gopinath, Emily Sumner, Thomas Matrai Balch, Laporsha Dees, Guy Rosman
2024	A*	`conf`	Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models. ICRA Tsun-Hsuan Wang, Alaa Maalouf, Wei Xiao, Yutong Ban, Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus
2024	J	`jnl`	Generating Out-Of-Distribution Scenarios Using Language Models. CoRR Erfan Aasi, Phat Nguyen, Shiva Sreeram, Guy Rosman, Sertac Karaman, Daniela Rus
2024	J	`jnl`	Hypergraph-Transformer (HGT) for Interactive Event Prediction in Laparoscopic and Robotic Surgery. CoRR Lianhao Yin, Yutong Ban, Jennifer A. Eckhoff, Ozanan R. Meireles, Daniela Rus, Guy Rosman
2024	A	`conf`	Learning autonomous driving from aerial imagery. IROS Varun Murali, Guy Rosman, Sertac Karaman, Daniela Rus
2024	J	`jnl`	Learning autonomous driving from aerial imagery. CoRR Varun Murali, Guy Rosman, Sertac Karaman, Daniela Rus
2024	J	`jnl`	Modeling Drivers' Risk Perception via Attention to Improve Driving Assistance. CoRR Abhijat Biswas, John Gideon, Kimimasa Tamura, Guy Rosman
2024	A	`conf`	Online Adaptation of Learned Vehicle Dynamics Model with Meta-Learning Approach. IROS Yuki Tsuchiya, Thomas Balch, Paul Drews, Guy Rosman
2024	J	`jnl`	Online Adaptation of Learned Vehicle Dynamics Model with Meta-Learning Approach. CoRR Yuki Tsuchiya, Thomas Balch, Paul Drews, Guy Rosman
2024	J	`jnl`	Personalizing Driver Safety Interfaces via Driver Cognitive Factors Inference. CoRR Emily S. Sumner, Jonathan A. DeCastro, Jean Costa, Deepak E. Gopinath, Everlyne Kimani, Shabnam Hakimi, Allison Morgan, Andrew Best, Hieu Nguyen, Daniel J. Brooks, Bassam ul Haq, Andrew Patrikalakis, Hiroshi Yasuda, Katharine Sieck, Avinash Balachandran, Tiffany L. Chen, Guy Rosman
2024	J	`jnl`	Probing Multimodal LLMs as World Models for Driving. CoRR Shiva Sreeram, Tsun-Hsuan Wang, Alaa Maalouf, Guy Rosman, Sertac Karaman, Daniela Rus
2024	J	`jnl`	Think Deep and Fast: Learning Neural Nonlinear Opinion Dynamics from Inverse Dynamic Games for Split-Second Interactions. CoRR Haimin Hu, Jonathan A. DeCastro, Deepak E. Gopinath, Guy Rosman, Naomi Ehrich Leonard, Jaime Fernández Fisac
2023	J	`jnl`	Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models. CoRR Tsun-Hsuan Wang, Alaa Maalouf, Wei Xiao, Yutong Ban, Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus
2023	Misc	`conf`	Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation. CoRL Peter Werner, Tim Seyde, Paul Drews, Thomas Matrai Balch, Igor Gilitschenski, Wilko Schwarting, Guy Rosman, Sertac Karaman, Daniela Rus
2023	J	`jnl`	GAME-UP: Game-Aware Mode Enumeration and Understanding for Trajectory Prediction. CoRR Justin Lidard, Oswin So, Yanxia Zhang, Jonathan A. DeCastro, Xiongyi Cui, Xin Huang, Yen-Ling Kuo, John J. Leonard, Avinash Balachandran, Naomi Ehrich Leonard, Guy Rosman
2023	A*	`conf`	MPOGames: Efficient Multimodal Partially Observable Dynamic Games. ICRA Oswin So, Paul Drews, Thomas Balch, Velin Dimitrov, Guy Rosman, Evangelos A. Theodorou
2023	J	`jnl`	Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving. CoRR Xiao Li, Igor Gilitschenski, Guy Rosman, Sertac Karaman, Daniela Rus
2023	J	`jnl`	Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving. IEEE Robotics Autom. Lett. Xiao Li, Igor Gilitschenski, Guy Rosman, Sertac Karaman, Daniela Rus
2023	J	`jnl`	Specification-Guided Data Aggregation for Semantically Aware Imitation Learning. CoRR Ameesh Shah, Jonathan A. DeCastro, John Gideon, Beyazit Yalcinkaya, Guy Rosman, Sanjit A. Seshia
2022	A*	`conf`	A Deep Concept Graph Network for Interaction-Aware Trajectory Prediction. ICRA Yutong Ban, Xiao Li, Guy Rosman, Igor Gilitschenski, Ozanan R. Meireles, Sertac Karaman, Daniela Rus
2022	J	`jnl`	Concept Graph Neural Networks for Surgical Video Understanding. CoRR Yutong Ban, Jennifer A. Eckhoff, Thomas M. Ward, Daniel A. Hashimoto, Ozanan R. Meireles, Daniela Rus, Guy Rosman
2022	—	`conf`	HMIway-env: A Framework for Simulating Behaviors and Preferences to Support Human-AI Teaming in Driving. CVPR Workshops Deepak E. Gopinath, Jonathan A. DeCastro, Guy Rosman, Emily Sumner, Allison Morgan, Shabnam Hakimi, Simon Stent
2022	A*	`conf`	HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling. ICRA Xin Huang, Guy Rosman, Igor Gilitschenski, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams
2022	J	`jnl`	Learning Latent Traits for Simulated Cooperative Driving Tasks. CoRR Jonathan A. DeCastro, Deepak E. Gopinath, Guy Rosman, Emily Sumner, Shabnam Hakimi, Simon Stent
2022	J	`jnl`	Learning an Explainable Trajectory Generator Using the Automaton Generative Network (AGN). IEEE Robotics Autom. Lett. Xiao Li, Guy Rosman, Igor Gilitschenski, Brandon Araki, Cristian-Ioan Vasile, Sertac Karaman, Daniela Rus
2022	A*	`conf`	Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction. ICRA Zhangjie Cao, Erdem Biyik, Guy Rosman, Dorsa Sadigh
2022	J	`jnl`	Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction. CoRR Zhangjie Cao, Erdem Biyik, Guy Rosman, Dorsa Sadigh
2022	J	`jnl`	MPOGames: Efficient Multimodal Partially Observable Dynamic Games. CoRR Oswin So, Paul Drews, Thomas Balch, Velin Dimitrov, Guy Rosman, Evangelos A. Theodorou
2022	J	`jnl`	SUPR-GAN: SUrgical PRediction GAN for Event Anticipation in Laparoscopic and Robotic Surgery. IEEE Robotics Autom. Lett. Yutong Ban, Guy Rosman, Jennifer A. Eckhoff, Thomas M. Ward, Daniel A. Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan R. Meireles, Daniela Rus
2022	A	`conf`	TIP: Task-Informed Motion Prediction for Intelligent Vehicles. IROS Xin Huang, Guy Rosman, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams
2022	A*	`conf`	Trajectory Prediction with Linguistic Representations. ICRA Yen-Ling Kuo, Xin Huang, Andrei Barbu, Stephen G. McGill, Boris Katz, John J. Leonard, Guy Rosman
2021	A*	`conf`	Aggregating Long-Term Context for Learning Laparoscopic and Robot-Assisted Surgical Workflows. ICRA Yutong Ban, Guy Rosman, Thomas M. Ward, Daniel A. Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan R. Meireles, Daniela Rus
2021	J	`jnl`	CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy. IEEE Robotics Autom. Lett. Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Luke Fletcher, John J. Leonard, Brian C. Williams, Guy Rosman
2021	J	`jnl`	HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling. CoRR Xin Huang, Guy Rosman, Igor Gilitschenski, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams
2021	—	`conf`	MAAD: A Model and Dataset for "Attended Awareness" in Driving. ICCVW Deepak E. Gopinath, Guy Rosman, Simon Stent, Katsuya Terahata, Luke Fletcher, Brenna Argall, John J. Leonard
2021	J	`jnl`	MAAD: A Model and Dataset for "Attended Awareness" in Driving. CoRR Deepak E. Gopinath, Guy Rosman, Simon Stent, Katsuya Terahata, Luke Fletcher, Brenna Argall, John J. Leonard
2021	A	`conf`	Risk Conditioned Neural Motion Planning. IROS Xin Huang, Meng Feng, Ashkan Jasour, Guy Rosman, Brian C. Williams
2021	J	`jnl`	Risk Conditioned Neural Motion Planning. CoRR Xin Huang, Meng Feng, Ashkan Jasour, Guy Rosman, Brian Charles Williams
2021	J	`jnl`	SUrgical PRediction GAN for Events Anticipation. CoRR Yutong Ban, Guy Rosman, Thomas M. Ward, Daniel A. Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan R. Meireles, Daniela Rus
2021	J	`jnl`	TIP: Task-Informed Motion Prediction for Intelligent Systems. CoRR Xin Huang, Guy Rosman, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams
2021	J	`jnl`	Trajectory Prediction with Linguistic Representations. CoRR Yen-Ling Kuo, Xin Huang, Andrei Barbu, Stephen G. McGill, Boris Katz, John J. Leonard, Guy Rosman
2021	J	`jnl`	Vehicle Trajectory Prediction Using Generative Adversarial Network With Temporal Logic Syntax Tree Features. IEEE Robotics Autom. Lett. Xiao Li, Guy Rosman, Igor Gilitschenski, Cristian Ioan Vasile, Jonathan A. DeCastro, Sertac Karaman, Daniela Rus
2020	J	`jnl`	Aggregating Long-Term Context for Learning Surgical Workflows. CoRR Yutong Ban, Guy Rosman, Thomas M. Ward, Daniel A. Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan R. Meireles, Daniela Rus
2020	A	`conf`	Behaviorally Diverse Traffic Simulation via Reinforcement Learning. IROS Shinya Shiroshita, Shirou Maruyama, Daisuke Nishiyama, Mario Ynocente Castro, Karim Hamzaoui, Guy Rosman, Jonathan A. DeCastro, Kuan-Hui Lee, Adrien Gaidon
2020	J	`jnl`	Behaviorally Diverse Traffic Simulation via Reinforcement Learning. CoRR Shinya Shiroshita, Shirou Maruyama, Daisuke Nishiyama, Mario Ynocente Castro, Karim Hamzaoui, Guy Rosman, Jonathan A. DeCastro, Kuan-Hui Lee, Adrien Gaidon
2020	J	`jnl`	CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy. CoRR Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Brian C. Williams, Luke Fletcher, John J. Leonard, Guy Rosman
2020	J	`jnl`	Deep Context Maps: Agent Trajectory Prediction Using Location-Specific Latent Maps. IEEE Robotics Autom. Lett. Igor Gilitschenski, Guy Rosman, Arjun Gupta, Sertac Karaman, Daniela Rus
2020	Misc	`conf`	Differentiable Logic Layer for Rule Guided Trajectory Prediction. CoRL Xiao Li, Guy Rosman, Igor Gilitschenski, Jonathan A. DeCastro, Cristian Ioan Vasile, Sertac Karaman, Daniela Rus
2020	—	`conf`	Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation. ITSC Daisuke Nishiyama, Mario Ynocente Castro, Shirou Maruyama, Shinya Shiroshita, Karim Hamzaoui, Yi Ouyang, Guy Rosman, Jonathan A. DeCastro, Kuan-Hui Lee, Adrien Gaidon
2020	J	`jnl`	Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation. CoRR Daisuke Nishiyama, Mario Ynocente Castro, Shirou Maruyama, Shinya Shiroshita, Karim Hamzaoui, Yi Ouyang, Guy Rosman, Jonathan A. DeCastro, Kuan-Hui Lee, Adrien Gaidon
2020	J	`jnl`	DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling. IEEE Robotics Autom. Lett. Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Luke Fletcher, John J. Leonard, Brian C. Williams, Guy Rosman
2020	A	`conf`	Driving Through Ghosts: Behavioral Cloning with False Positives. IROS Andreas Bühler, Adrien Gaidon, Andrei Cramariuc, Rares Ambrus, Guy Rosman, Wolfram Burgard
2020	J	`jnl`	Driving Through Ghosts: Behavioral Cloning with False Positives. CoRR Andreas Bühler, Adrien Gaidon, Andrei Cramariuc, Rares Ambrus, Guy Rosman, Wolfram Burgard
2020	Misc	`conf`	MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control. CoRL Boris Ivanovic, Amine Elhafsi, Guy Rosman, Adrien Gaidon, Marco Pavone
2020	J	`jnl`	MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control. CoRR Boris Ivanovic, Amine Elhafsi, Guy Rosman, Adrien Gaidon, Marco Pavone
2020	—	`conf`	Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving. Robotics: Science and Systems Zhangjie Cao, Erdem Biyik, Woodrow Z. Wang, Allan Raventos, Adrien Gaidon, Guy Rosman, Dorsa Sadigh
2020	J	`jnl`	Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving. CoRR Zhangjie Cao, Erdem Biyik, Woodrow Z. Wang, Allan Raventos, Adrien Gaidon, Guy Rosman, Dorsa Sadigh
2019	J	`jnl`	Deep Context Map: Agent Trajectory Prediction using Location-specific Latent Maps. CoRR Igor Gilitschenski, Guy Rosman, Arjun Gupta, Sertac Karaman, Daniela Rus
2019	J	`jnl`	Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling. CoRR Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Brian C. Williams, Luke Fletcher, John J. Leonard, Guy Rosman
2019	A	`conf`	Infrastructure-free NLoS Obstacle Detection for Autonomous Cars. IROS Felix Naser, Igor Gilitschenski, Alexander Amini, Christina Liao, Guy Rosman, Sertac Karaman, Daniela Rus
2019	J	`jnl`	Probabilistic Risk Metrics for Navigating Occluded Intersections. IEEE Robotics Autom. Lett. Stephen G. McGill, Guy Rosman, Teddy Ort, Alyssa Pierson, Igor Gilitschenski, Brandon Araki, Luke Fletcher, Sertac Karaman, Daniela Rus, John J. Leonard
2019	A*	`conf`	Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections. ICRA Xin Huang, Stephen G. McGill, Brian C. Williams, Luke Fletcher, Guy Rosman
2019	J	`jnl`	Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections. CoRR Xin Huang, Stephen G. McGill, Brian C. Williams, Luke Fletcher, Guy Rosman
2019	A*	`conf`	Variational End-to-End Navigation and Localization. ICRA Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus
2018	J	`jnl`	Information-Driven Adaptive Structured-Light Scanners. IEEE Trans. Computational Imaging Guy Rosman, Daniela Rus, John W. Fisher III
2018	—	`conf`	ShadowCam: Real-Time Detection of Moving Obstacles Behind A Corner For Autonomous Vehicles. ITSC Felix Naser, Igor Gilitschenski, Guy Rosman, Alexander Amini, Frédo Durand, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Sertac Karaman, Daniela Rus
2018	A*	`conf`	Task-Specific Sensor Planning for Robotic Assembly Tasks. ICRA Guy Rosman, Changhyun Choi, Mehmet Remzi Dogar, John W. Fisher III, Daniela Rus
2018	J	`jnl`	The Manhattan Frame Model - Manhattan World Inference in the Space of Surface Normals. IEEE Trans. Pattern Anal. Mach. Intell. Julian Straub, Oren Freifeld, Guy Rosman, John J. Leonard, John W. Fisher III
2018	A	`conf`	Variational Autoencoder for End-to-End Control of Autonomous Driving with Novelty Detection and Training De-biasing. IROS Alexander Amini, Wilko Schwarting, Guy Rosman, Brandon Araki, Sertac Karaman, Daniela Rus
2018	J	`jnl`	Variational End-to-End Navigation and Localization. CoRR Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus
2017	J	`jnl`	A Nonparametric Model for Multimodal Collaborative Activities Summarization. CoRR Guy Rosman, John W. Fisher III, Daniela Rus
2017	A*	`conf`	Duckietown: An open, inexpensive and flexible platform for autonomy education and research. ICRA Liam Paull, Jacopo Tani, Heejin Ahn, Javier Alonso-Mora, Luca Carlone, Michal Cáp, Yu Fan Chen, Changhyun Choi, Jeff Dusek, Yajun Fang, Daniel Hoehener, Shih-Yuan Liu, Michael Novitzky, Igor Franzoni Okuyama, Jason Pazis, Guy Rosman, Valerio Varricchio, Hsueh-Cheng Wang, Dmitry S. Yershov, Hang Zhao, Michael Benjamin, Christopher Carr, Maria T. Zuber, Sertac Karaman, Emilio Frazzoli, Domitilla Del Vecchio, Daniela Rus, Jonathan P. How, John J. Leonard, Andrea Censi
2017	A	`conf`	Hybrid control and learning with coresets for autonomous vehicles. IROS Guy Rosman, Liam Paull, Daniela Rus
2017	A*	`conf`	Machine learning and coresets for automated real-time video segmentation of laparoscopic and robot-assisted surgery. ICRA Mikhail Volkov, Daniel A. Hashimoto, Guy Rosman, Ozanan R. Meireles, Daniela Rus
2017	—	`conf`	On the Role of Representations for Reasoning in Large-Scale Urban Scenes. CVPR Workshops Randi Cabezas, Maros Blaha, Sue Zheng, Guy Rosman, Konrad Schindler, John W. Fisher III
2017	A*	`conf`	Persistent surveillance of events with unknown, time-varying statistics. ICRA Cenk Baykal, Guy Rosman, Sebastian Claici, Daniela Rus
2016	A*	`conf`	Information-Driven Adaptive Structured-Light Scanners. CVPR Guy Rosman, Daniela Rus, John W. Fisher III
2016	C	`conf`	Persistent Surveillance of Events with Unknown Rate Statistics. WAFR Cenk Baykal, Guy Rosman, Kyle Kotowick, Mark Donahue, Daniela Rus
2016	A*	`conf`	Real-Time Depth Refinement for Specular Objects. CVPR Roy Or-El, Rom Hershkovitz, Aaron Wetzler, Guy Rosman, Alfred M. Bruckstein, Ron Kimmel
2015	A*	`conf`	Coresets for visual summarization with applications to loop closure. ICRA Mikhail Volkov, Guy Rosman, Dan Feldman, John W. Fisher III, Daniela Rus
2015	—	`conf`	Fleye on the car: big data meets the internet of things. IPSN Soliman Nasser, Andew Barry, Marek Doniec, Guy Peled, Guy Rosman, Daniela Rus, Mikhail Volkov, Dan Feldman
2015	J	`jnl`	Multi-Region Active Contours with a Single Level Set Function. IEEE Trans. Pattern Anal. Mach. Intell. Anastasia Dubrovina-Karni, Guy Rosman, Ron Kimmel
2015	A*	`conf`	RGBD-fusion: Real-time high precision depth recovery. CVPR Roy Or-El, Guy Rosman, Aaron Wetzler, Ron Kimmel, Alfred M. Bruckstein
2015	J	`jnl`	Real-Time Depth Refinement for Specular Objects. CoRR Roy Or-El, Rom Hershkovitz, Aaron Wetzler, Guy Rosman, Alfred M. Bruckstein, Ron Kimmel
2014	A*	`conf`	A Mixture of Manhattan Frames: Beyond the Manhattan World. CVPR Julian Straub, Guy Rosman, Oren Freifeld, John J. Leonard, John W. Fisher III
2014	A*	`conf`	Aerial Reconstructions via Probabilistic Data Fusion. CVPR Randi Cabezas, Oren Freifeld, Guy Rosman, John W. Fisher III
2014	—	`conf`	Coresets for k-Segmentation of Streaming Data. NIPS Guy Rosman, Mikhail Volkov, Dan Feldman, John W. Fisher III, Daniela Rus
2013	—	`conf`	Active Contours for Multi-region Image Segmentation with a Single Level Set Function. SSVM Anastasia Dubrovina, Guy Rosman, Ron Kimmel
2013	—	`ch.`	Group-Valued Regularization for Motion Segmentation of Articulated Shapes. Innovations for Shape Analysis, Models and Algorithms Guy Rosman, Michael M. Bronstein, Alexander M. Bronstein, Alon Wolf, Ron Kimmel
2013	—	`ch.`	On Globally Optimal Local Modeling: From Moving Least Squares to Over-parametrization. Innovations for Shape Analysis, Models and Algorithms Shachar Shem-Tov, Guy Rosman, Gilad Adiv, Ron Kimmel, Alfred M. Bruckstein
2013	—	`—`	On natural parametrizations of motion and structure manifolds. Guy Rosman
2013	J	`jnl`	Patch-Collaborative Spectral Point-Cloud Denoising. Comput. Graph. Forum Guy Rosman, Anastasia Dubrovina, Ron Kimmel
2013	—	`conf`	Perspective Photometric Stereo with Shadows. SSVM Roberto Mecca, Guy Rosman, Ron Kimmel, Alfred M. Bruckstein
2012	—	`conf`	Articulated Motion Segmentation of Point Clouds by Group-Valued Regularization. 3DOR@Eurographics Guy Rosman, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel
2012	—	`conf`	Fast Regularization of Matrix-Valued Images. ECCV (3) Guy Rosman, Yu Wang, Xue-Cheng Tai, Ron Kimmel, Alfred M. Bruckstein
2012	—	`conf`	Group-Valued Regularization for Analysis of Articulated Motion. ECCV Workshops (1) Guy Rosman, Alexander M. Bronstein, Michael M. Bronstein, Xue-Cheng Tai, Ron Kimmel
2012	—	`conf`	Sparse Modeling of Shape from Structured Light. 3DIMPVT Guy Rosman, Anastasia Dubrovina, Ron Kimmel
2011	—	`conf`	Fast Regularization of Matrix-Valued Images. Efficient Algorithms for Global Optimization Methods in Computer Vision Guy Rosman, Yu Wang, Xue-Cheng Tai, Ron Kimmel, Alfred M. Bruckstein
2011	—	`conf`	Group-Valued Regularization Framework for Motion Segmentation of Dynamic Non-rigid Shapes. SSVM Guy Rosman, Michael M. Bronstein, Alexander M. Bronstein, Alon Wolf, Ron Kimmel
2011	J	`jnl`	On Semi-implicit Splitting Schemes for the Beltrami Color Image Filtering. J. Math. Imaging Vis. Guy Rosman, Lorina Dascal, Xue-Cheng Tai, Ron Kimmel
2011	—	`conf`	Over-Parameterized Optical Flow Using a Stereoscopic Constraint. SSVM Guy Rosman, Shachar Shem-Tov, David Bitton, Tal Nir, Gilad Adiv, Ron Kimmel, Arie Feuer, Alfred M. Bruckstein
2010	J	`jnl`	Nonlinear Dimensionality Reduction by Topologically Constrained Isometric Embedding. Int. J. Comput. Vis. Guy Rosman, Michael M. Bronstein, Alexander M. Bronstein, Ron Kimmel
2010	—	`conf`	Polyakov Action Minimization for Efficient Color Image Processing. ECCV Workshops (1) Guy Rosman, Xue-Cheng Tai, Lorina Dascal, Ron Kimmel
2009	J	`jnl`	Efficient Beltrami Image Filtering via Vector Extrapolation Methods. SIAM J. Imaging Sci. Guy Rosman, Lorina Dascal, Avram Sidi, Ron Kimmel
2009	—	`conf`	On Semi-implicit Splitting Schemes for the Beltrami Color Flow. SSVM Lorina Dascal, Guy Rosman, Xue-Cheng Tai, Ron Kimmel
2009	—	`conf`	On reconstruction of non-rigid shapes with intrinsic regularization. ICCV Workshops Yohai S. Devir, Guy Rosman, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel
2007	A	`conf`	A New Physically Motivated Warping Model for Form Drop-Out. ICDAR Guy Rosman, Asaf Tzadok, Doron Tal
2007	—	`conf`	Efficient Beltrami Filtering of Color Images Via Vector Extrapolation. SSVM Lorina Dascal, Guy Rosman, Ron Kimmel
2006	—	`conf`	Topologically Constrained Isometric Embedding. Human Motion Guy Rosman, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel