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2020 – today
- 2024
[j16]Yutong Ban
, Jennifer A. Eckhoff, Thomas M. Ward, Daniel A. Hashimoto, Ozanan R. Meireles, Daniela Rus, Guy Rosman:
Concept Graph Neural Networks for Surgical Video Understanding. IEEE Trans. Medical Imaging 43(1): 264-274 (2024)- [c52]Tsun-Hsuan Wang, Alaa Maalouf, Wei Xiao, Yutong Ban, Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus:
Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models. ICRA 2024: 6687-6694 - [i34]Lianhao Yin, Yutong Ban, Jennifer A. Eckhoff, Ozanan R. Meireles, Daniela Rus, Guy Rosman:
Hypergraph-Transformer (HGT) for Interactive Event Prediction in Laparoscopic and Robotic Surgery. CoRR abs/2402.01974 (2024) - [i33]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:
Personalizing Driver Safety Interfaces via Driver Cognitive Factors Inference. CoRR abs/2402.05893 (2024) - [i32]Justin Lidard, Haimin Hu, Asher Hancock, Zixu Zhang, Albert Gimó Contreras, Vikash Modi, Jonathan A. DeCastro, Deepak E. Gopinath, Guy Rosman, Naomi Ehrich Leonard, María Santos, Jaime Fernández Fisac:
Blending Data-Driven Priors in Dynamic Games. CoRR abs/2402.14174 (2024) - [i31]Shiva Sreeram, Tsun-Hsuan Wang, Alaa Maalouf, Guy Rosman, Sertac Karaman, Daniela Rus:
Probing Multimodal LLMs as World Models for Driving. CoRR abs/2405.05956 (2024) - [i30]Haimin Hu, Jonathan A. DeCastro, Deepak E. Gopinath, Guy Rosman, Naomi Ehrich Leonard, Jaime Fernández Fisac:
Think Deep and Fast: Learning Neural Nonlinear Opinion Dynamics from Inverse Dynamic Games for Split-Second Interactions. CoRR abs/2406.09810 (2024) - [i29]Abhijat Biswas, John Gideon, Kimimasa Tamura, Guy Rosman:
Modeling Drivers' Risk Perception via Attention to Improve Driving Assistance. CoRR abs/2409.04738 (2024) - [i28]Yuki Tsuchiya, Thomas Balch, Paul Drews, Guy Rosman:
Online Adaptation of Learned Vehicle Dynamics Model with Meta-Learning Approach. CoRR abs/2409.14950 (2024) - 2023
- [j15]Xiao Li, Igor Gilitschenski, Guy Rosman, Sertac Karaman, Daniela Rus:
Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving. IEEE Robotics Autom. Lett. 8(8): 4737-4744 (2023) - [c51]Peter Werner, Tim Seyde, Paul Drews, Thomas Matrai Balch, Igor Gilitschenski, Wilko Schwarting, Guy Rosman, Sertac Karaman, Daniela Rus:
Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation. CoRL 2023: 1667-1685 - [c50]Oswin So, Paul Drews, Thomas Balch, Velin Dimitrov, Guy Rosman, Evangelos A. Theodorou:
MPOGames: Efficient Multimodal Partially Observable Dynamic Games. ICRA 2023: 3189-3196 - [i27]Ameesh Shah, Jonathan A. DeCastro, John Gideon, Beyazit Yalcinkaya, Guy Rosman, Sanjit A. Seshia:
Specification-Guided Data Aggregation for Semantically Aware Imitation Learning. CoRR abs/2303.17010 (2023) - [i26]Xiao Li, Igor Gilitschenski, Guy Rosman, Sertac Karaman, Daniela Rus:
Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving. CoRR abs/2305.14797 (2023) - [i25]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:
GAME-UP: Game-Aware Mode Enumeration and Understanding for Trajectory Prediction. CoRR abs/2305.17600 (2023) - [i24]Tsun-Hsuan Wang, Alaa Maalouf, Wei Xiao, Yutong Ban, Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus:
Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models. CoRR abs/2310.17642 (2023) - 2022
- [j14]Xiao Li, Guy Rosman, Igor Gilitschenski, Brandon Araki, Cristian-Ioan Vasile, Sertac Karaman, Daniela Rus:
Learning an Explainable Trajectory Generator Using the Automaton Generative Network (AGN). IEEE Robotics Autom. Lett. 7(2): 984-991 (2022) - [j13]Yutong Ban, Guy Rosman, Jennifer A. Eckhoff, Thomas M. Ward, Daniel A. Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan R. Meireles, Daniela Rus:
SUPR-GAN: SUrgical PRediction GAN for Event Anticipation in Laparoscopic and Robotic Surgery. IEEE Robotics Autom. Lett. 7(2): 5741-5748 (2022) - [c49]Deepak E. Gopinath, Jonathan A. DeCastro, Guy Rosman, Emily Sumner, Allison Morgan, Shabnam Hakimi, Simon Stent:
HMIway-env: A Framework for Simulating Behaviors and Preferences to Support Human-AI Teaming in Driving. CVPR Workshops 2022: 4341-4349 - [c48]Yen-Ling Kuo, Xin Huang, Andrei Barbu, Stephen G. McGill, Boris Katz, John J. Leonard, Guy Rosman:
Trajectory Prediction with Linguistic Representations. ICRA 2022: 2868-2875 - [c47]Xin Huang, Guy Rosman, Igor Gilitschenski, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams:
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling. ICRA 2022: 2906-2912 - [c46]Yutong Ban, Xiao Li, Guy Rosman, Igor Gilitschenski, Ozanan R. Meireles, Sertac Karaman, Daniela Rus:
A Deep Concept Graph Network for Interaction-Aware Trajectory Prediction. ICRA 2022: 8992-8998 - [c45]Zhangjie Cao, Erdem Biyik, Guy Rosman, Dorsa Sadigh:
Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction. ICRA 2022: 10723-10730 - [c44]Xin Huang, Guy Rosman, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams:
TIP: Task-Informed Motion Prediction for Intelligent Vehicles. IROS 2022: 11432-11439 - [i23]Yutong Ban, Jennifer A. Eckhoff, Thomas M. Ward, Daniel A. Hashimoto, Ozanan R. Meireles, Daniela Rus, Guy Rosman:
Concept Graph Neural Networks for Surgical Video Understanding. CoRR abs/2202.13402 (2022) - [i22]Zhangjie Cao, Erdem Biyik, Guy Rosman, Dorsa Sadigh:
Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction. CoRR abs/2203.04421 (2022) - [i21]Jonathan A. DeCastro, Deepak E. Gopinath, Guy Rosman, Emily Sumner, Shabnam Hakimi, Simon Stent:
Learning Latent Traits for Simulated Cooperative Driving Tasks. CoRR abs/2207.09619 (2022) - [i20]Oswin So, Paul Drews, Thomas Balch, Velin Dimitrov, Guy Rosman, Evangelos A. Theodorou:
MPOGames: Efficient Multimodal Partially Observable Dynamic Games. CoRR abs/2210.10814 (2022) - 2021
- [j12]Xiao Li, Guy Rosman, Igor Gilitschenski, Cristian Ioan Vasile, Jonathan A. DeCastro, Sertac Karaman, Daniela Rus:
Vehicle Trajectory Prediction Using Generative Adversarial Network With Temporal Logic Syntax Tree Features. IEEE Robotics Autom. Lett. 6(2): 3459-3466 (2021) - [j11]Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Luke Fletcher, John J. Leonard, Brian C. Williams, Guy Rosman:
CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy. IEEE Robotics Autom. Lett. 6(3): 4433-4440 (2021) - [c43]Deepak E. Gopinath, Guy Rosman, Simon Stent, Katsuya Terahata, Luke Fletcher, Brenna Argall, John J. Leonard:
MAAD: A Model and Dataset for "Attended Awareness" in Driving. ICCVW 2021: 3419-3429 - [c42]Yutong Ban, Guy Rosman, Thomas M. Ward, Daniel A. Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan R. Meireles, Daniela Rus:
Aggregating Long-Term Context for Learning Laparoscopic and Robot-Assisted Surgical Workflows. ICRA 2021: 14531-14538 - [c41]Xin Huang, Meng Feng, Ashkan Jasour, Guy Rosman, Brian C. Williams:
Risk Conditioned Neural Motion Planning. IROS 2021: 9057-9063 - [i19]Yutong Ban, Guy Rosman, Thomas M. Ward, Daniel A. Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan R. Meireles, Daniela Rus:
SUrgical PRediction GAN for Events Anticipation. CoRR abs/2105.04642 (2021) - [i18]Xin Huang, Meng Feng, Ashkan Jasour, Guy Rosman, Brian Charles Williams:
Risk Conditioned Neural Motion Planning. CoRR abs/2108.01851 (2021) - [i17]Xin Huang, Guy Rosman, Igor Gilitschenski, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams:
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling. CoRR abs/2110.02344 (2021) - [i16]Deepak E. Gopinath, Guy Rosman, Simon Stent, Katsuya Terahata, Luke Fletcher, Brenna Argall, John J. Leonard:
MAAD: A Model and Dataset for "Attended Awareness" in Driving. CoRR abs/2110.08610 (2021) - [i15]Xin Huang, Guy Rosman, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams:
TIP: Task-Informed Motion Prediction for Intelligent Systems. CoRR abs/2110.08750 (2021) - [i14]Yen-Ling Kuo, Xin Huang, Andrei Barbu, Stephen G. McGill, Boris Katz, John J. Leonard, Guy Rosman:
Trajectory Prediction with Linguistic Representations. CoRR abs/2110.09741 (2021) - 2020
- [j10]Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Luke Fletcher, John J. Leonard, Brian C. Williams, Guy Rosman:
DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling. IEEE Robotics Autom. Lett. 5(4): 5089-5096 (2020) - [j9]Igor Gilitschenski, Guy Rosman, Arjun Gupta, Sertac Karaman, Daniela Rus:
Deep Context Maps: Agent Trajectory Prediction Using Location-Specific Latent Maps. IEEE Robotics Autom. Lett. 5(4): 5097-5104 (2020) - [c40]Xiao Li, Guy Rosman, Igor Gilitschenski, Jonathan A. DeCastro, Cristian Ioan Vasile, Sertac Karaman, Daniela Rus:
Differentiable Logic Layer for Rule Guided Trajectory Prediction. CoRL 2020: 2178-2194 - [c39]Boris Ivanovic, Amine Elhafsi, Guy Rosman, Adrien Gaidon, Marco Pavone:
MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control. CoRL 2020: 2243-2256 - [c38]Shinya Shiroshita, Shirou Maruyama, Daisuke Nishiyama, Mario Ynocente Castro, Karim Hamzaoui, Guy Rosman, Jonathan A. DeCastro, Kuan-Hui Lee, Adrien Gaidon:
Behaviorally Diverse Traffic Simulation via Reinforcement Learning. IROS 2020: 2103-2110 - [c37]Andreas Bühler, Adrien Gaidon, Andrei Cramariuc, Rares Ambrus, Guy Rosman, Wolfram Burgard:
Driving Through Ghosts: Behavioral Cloning with False Positives. IROS 2020: 5431-5437 - [c36]Daisuke Nishiyama, Mario Ynocente Castro, Shirou Maruyama, Shinya Shiroshita, Karim Hamzaoui, Yi Ouyang, Guy Rosman, Jonathan A. DeCastro, Kuan-Hui Lee, Adrien Gaidon:
Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation. ITSC 2020: 1-8 - [c35]Zhangjie Cao, Erdem Biyik, Woodrow Z. Wang, Allan Raventos, Adrien Gaidon, Guy Rosman, Dorsa Sadigh:
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving. Robotics: Science and Systems 2020 - [i13]Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Brian C. Williams, Luke Fletcher, John J. Leonard, Guy Rosman:
CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy. CoRR abs/2003.08003 (2020) - [i12]Zhangjie Cao, Erdem Biyik, Woodrow Z. Wang, Allan Raventos, Adrien Gaidon, Guy Rosman, Dorsa Sadigh:
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving. CoRR abs/2007.00178 (2020) - [i11]Andreas Bühler, Adrien Gaidon, Andrei Cramariuc, Rares Ambrus, Guy Rosman, Wolfram Burgard:
Driving Through Ghosts: Behavioral Cloning with False Positives. CoRR abs/2008.12969 (2020) - [i10]Yutong Ban, Guy Rosman, Thomas M. Ward, Daniel A. Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan R. Meireles, Daniela Rus:
Aggregating Long-Term Context for Learning Surgical Workflows. CoRR abs/2009.00681 (2020) - [i9]Boris Ivanovic, Amine Elhafsi, Guy Rosman, Adrien Gaidon, Marco Pavone:
MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control. CoRR abs/2009.07517 (2020) - [i8]Shinya Shiroshita, Shirou Maruyama, Daisuke Nishiyama, Mario Ynocente Castro, Karim Hamzaoui, Guy Rosman, Jonathan A. DeCastro, Kuan-Hui Lee, Adrien Gaidon:
Behaviorally Diverse Traffic Simulation via Reinforcement Learning. CoRR abs/2011.05741 (2020) - [i7]Daisuke Nishiyama, Mario Ynocente Castro, Shirou Maruyama, Shinya Shiroshita, Karim Hamzaoui, Yi Ouyang, Guy Rosman, Jonathan A. DeCastro, Kuan-Hui Lee, Adrien Gaidon:
Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation. CoRR abs/2011.11991 (2020)
2010 – 2019
- 2019
- [j8]Stephen G. McGill, Guy Rosman, Teddy Ort, Alyssa Pierson, Igor Gilitschenski, Brandon Araki, Luke Fletcher, Sertac Karaman, Daniela Rus, John J. Leonard:
Probabilistic Risk Metrics for Navigating Occluded Intersections. IEEE Robotics Autom. Lett. 4(4): 4322-4329 (2019) - [c34]Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus:
Variational End-to-End Navigation and Localization. ICRA 2019: 8958-8964 - [c33]Xin Huang, Stephen G. McGill, Brian C. Williams, Luke Fletcher, Guy Rosman:
Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections. ICRA 2019: 9718-9724 - [c32]Felix Naser, Igor Gilitschenski, Alexander Amini, Christina Liao, Guy Rosman, Sertac Karaman, Daniela Rus:
Infrastructure-free NLoS Obstacle Detection for Autonomous Cars. IROS 2019: 250-257 - [i6]Xin Huang, Stephen G. McGill, Brian C. Williams, Luke Fletcher, Guy Rosman:
Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections. CoRR abs/1901.05105 (2019) - [i5]Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Brian C. Williams, Luke Fletcher, John J. Leonard, Guy Rosman:
Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling. CoRR abs/1911.12736 (2019) - [i4]Igor Gilitschenski, Guy Rosman, Arjun Gupta, Sertac Karaman, Daniela Rus:
Deep Context Map: Agent Trajectory Prediction using Location-specific Latent Maps. CoRR abs/1912.06785 (2019) - 2018
- [j7]Julian Straub, Oren Freifeld, Guy Rosman, John J. Leonard, John W. Fisher III:
The Manhattan Frame Model - Manhattan World Inference in the Space of Surface Normals. IEEE Trans. Pattern Anal. Mach. Intell. 40(1): 235-249 (2018) - [j6]Guy Rosman, Daniela Rus, John W. Fisher III:
Information-Driven Adaptive Structured-Light Scanners. IEEE Trans. Computational Imaging 4(3): 341-354 (2018) - [c31]Guy Rosman, Changhyun Choi, Mehmet Remzi Dogar, John W. Fisher III, Daniela Rus:
Task-Specific Sensor Planning for Robotic Assembly Tasks. ICRA 2018: 2932-2939 - [c30]Alexander Amini, Wilko Schwarting, Guy Rosman, Brandon Araki, Sertac Karaman, Daniela Rus:
Variational Autoencoder for End-to-End Control of Autonomous Driving with Novelty Detection and Training De-biasing. IROS 2018: 568-575 - [c29]Felix Naser, Igor Gilitschenski, Guy Rosman, Alexander Amini, Frédo Durand, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Sertac Karaman, Daniela Rus:
ShadowCam: Real-Time Detection of Moving Obstacles Behind A Corner For Autonomous Vehicles. ITSC 2018: 560-567 - [i3]Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus:
Variational End-to-End Navigation and Localization. CoRR abs/1811.10119 (2018) - 2017
- [c28]Randi Cabezas, Maros Blaha, Sue Zheng, Guy Rosman, Konrad Schindler, John W. Fisher III:
On the Role of Representations for Reasoning in Large-Scale Urban Scenes. CVPR Workshops 2017: 1514-1523 - [c27]Mikhail Volkov, Daniel A. Hashimoto, Guy Rosman, Ozanan R. Meireles, Daniela Rus:
Machine learning and coresets for automated real-time video segmentation of laparoscopic and robot-assisted surgery. ICRA 2017: 754-759 - [c26]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:
Duckietown: An open, inexpensive and flexible platform for autonomy education and research. ICRA 2017: 1497-1504 - [c25]Cenk Baykal, Guy Rosman, Sebastian Claici, Daniela Rus:
Persistent surveillance of events with unknown, time-varying statistics. ICRA 2017: 2682-2689 - [c24]Guy Rosman, Liam Paull, Daniela Rus:
Hybrid control and learning with coresets for autonomous vehicles. IROS 2017: 6894-6901 - [i2]Guy Rosman, John W. Fisher III, Daniela Rus:
A Nonparametric Model for Multimodal Collaborative Activities Summarization. CoRR abs/1709.01077 (2017) - 2016
- [c23]Guy Rosman, Daniela Rus, John W. Fisher III:
Information-Driven Adaptive Structured-Light Scanners. CVPR 2016: 874-883 - [c22]Roy Or-El, Rom Hershkovitz, Aaron Wetzler, Guy Rosman, Alfred M. Bruckstein, Ron Kimmel:
Real-Time Depth Refinement for Specular Objects. CVPR 2016: 4378-4386 - [c21]Cenk Baykal, Guy Rosman, Kyle Kotowick, Mark Donahue, Daniela Rus:
Persistent Surveillance of Events with Unknown Rate Statistics. WAFR 2016: 736-751 - 2015
- [j5]Anastasia Dubrovina-Karni, Guy Rosman, Ron Kimmel:
Multi-Region Active Contours with a Single Level Set Function. IEEE Trans. Pattern Anal. Mach. Intell. 37(8): 1585-1601 (2015) - [c20]Roy Or-El, Guy Rosman, Aaron Wetzler, Ron Kimmel, Alfred M. Bruckstein:
RGBD-fusion: Real-time high precision depth recovery. CVPR 2015: 5407-5416 - [c19]Mikhail Volkov, Guy Rosman, Dan Feldman, John W. Fisher III, Daniela Rus:
Coresets for visual summarization with applications to loop closure. ICRA 2015: 3638-3645 - [c18]Soliman Nasser, Andew Barry, Marek Doniec, Guy Peled, Guy Rosman, Daniela Rus, Mikhail Volkov, Dan Feldman:
Fleye on the car: big data meets the internet of things. IPSN 2015: 382-383 - [i1]Roy Or-El, Rom Hershkovitz, Aaron Wetzler, Guy Rosman, Alfred M. Bruckstein, Ron Kimmel:
Real-Time Depth Refinement for Specular Objects. CoRR abs/1511.08886 (2015) - 2014
- [c17]Julian Straub, Guy Rosman, Oren Freifeld, John J. Leonard, John W. Fisher III:
A Mixture of Manhattan Frames: Beyond the Manhattan World. CVPR 2014: 3770-3777 - [c16]Randi Cabezas, Oren Freifeld, Guy Rosman, John W. Fisher III:
Aerial Reconstructions via Probabilistic Data Fusion. CVPR 2014: 4010-4017 - [c15]Guy Rosman, Mikhail Volkov, Dan Feldman, John W. Fisher III, Daniela Rus:
Coresets for k-Segmentation of Streaming Data. NIPS 2014: 559-567 - 2013
- [b1]Guy Rosman:
On natural parametrizations of motion and structure manifolds. Technion - Israel Institute of Technology, Israel, 2013 - [j4]Guy Rosman, Anastasia Dubrovina, Ron Kimmel:
Patch-Collaborative Spectral Point-Cloud Denoising. Comput. Graph. Forum 32(8): 1-12 (2013) - [c14]Roberto Mecca, Guy Rosman, Ron Kimmel, Alfred M. Bruckstein:
Perspective Photometric Stereo with Shadows. SSVM 2013: 258-269 - [c13]Anastasia Dubrovina, Guy Rosman, Ron Kimmel:
Active Contours for Multi-region Image Segmentation with a Single Level Set Function. SSVM 2013: 416-427 - [p2]Guy Rosman, Michael M. Bronstein, Alexander M. Bronstein, Alon Wolf, Ron Kimmel:
Group-Valued Regularization for Motion Segmentation of Articulated Shapes. Innovations for Shape Analysis, Models and Algorithms 2013: 263-281 - [p1]Shachar Shem-Tov, Guy Rosman, Gilad Adiv, Ron Kimmel, Alfred M. Bruckstein:
On Globally Optimal Local Modeling: From Moving Least Squares to Over-parametrization. Innovations for Shape Analysis, Models and Algorithms 2013: 379-405 - 2012
- [c12]Guy Rosman, Anastasia Dubrovina, Ron Kimmel:
Sparse Modeling of Shape from Structured Light. 3DIMPVT 2012: 456-463 - [c11]Guy Rosman, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel:
Articulated Motion Segmentation of Point Clouds by Group-Valued Regularization. 3DOR@Eurographics 2012: 77-84 - [c10]Guy Rosman, Alexander M. Bronstein, Michael M. Bronstein, Xue-Cheng Tai, Ron Kimmel:
Group-Valued Regularization for Analysis of Articulated Motion. ECCV Workshops (1) 2012: 52-62 - [c9]Guy Rosman, Yu Wang, Xue-Cheng Tai, Ron Kimmel, Alfred M. Bruckstein:
Fast Regularization of Matrix-Valued Images. ECCV (3) 2012: 173-186 - 2011
- [j3]Guy Rosman, Lorina Dascal, Xue-Cheng Tai, Ron Kimmel:
On Semi-implicit Splitting Schemes for the Beltrami Color Image Filtering. J. Math. Imaging Vis. 40(2): 199-213 (2011) - [c8]Guy Rosman, Yu Wang, Xue-Cheng Tai, Ron Kimmel, Alfred M. Bruckstein:
Fast Regularization of Matrix-Valued Images. Efficient Algorithms for Global Optimization Methods in Computer Vision 2011: 19-43 - [c7]Guy Rosman, Michael M. Bronstein, Alexander M. Bronstein, Alon Wolf, Ron Kimmel:
Group-Valued Regularization Framework for Motion Segmentation of Dynamic Non-rigid Shapes. SSVM 2011: 725-736 - [c6]Guy Rosman, Shachar Shem-Tov, David Bitton, Tal Nir, Gilad Adiv, Ron Kimmel, Arie Feuer, Alfred M. Bruckstein:
Over-Parameterized Optical Flow Using a Stereoscopic Constraint. SSVM 2011: 761-772 - 2010
- [j2]Guy Rosman, Michael M. Bronstein, Alexander M. Bronstein, Ron Kimmel:
Nonlinear Dimensionality Reduction by Topologically Constrained Isometric Embedding. Int. J. Comput. Vis. 89(1): 56-68 (2010) - [c5]Guy Rosman, Xue-Cheng Tai, Lorina Dascal, Ron Kimmel:
Polyakov Action Minimization for Efficient Color Image Processing. ECCV Workshops (1) 2010: 50-61
2000 – 2009
- 2009
- [j1]Guy Rosman, Lorina Dascal, Avram Sidi, Ron Kimmel:
Efficient Beltrami Image Filtering via Vector Extrapolation Methods. SIAM J. Imaging Sci. 2(3): 858-878 (2009) - [c4]Yohai S. Devir, Guy Rosman, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel:
On reconstruction of non-rigid shapes with intrinsic regularization. ICCV Workshops 2009: 272-279 - [c3]Lorina Dascal, Guy Rosman, Xue-Cheng Tai, Ron Kimmel:
On Semi-implicit Splitting Schemes for the Beltrami Color Flow. SSVM 2009: 259-270 - 2007
- [c2]Lorina Dascal, Guy Rosman, Ron Kimmel:
Efficient Beltrami Filtering of Color Images Via Vector Extrapolation. SSVM 2007: 92-103 - 2006
- [c1]Guy Rosman, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel:
Topologically Constrained Isometric Embedding. Human Motion 2006: 243-262
Coauthor Index
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