Michael Rubinstein

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 56

Top Venues

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Hila Chefer, Shiran Zada, Roni Paiss, Ariel Ephrat, Omer Tov, Michael Rubinstein, Lior Wolf, Tali Dekel, Tomer Michaeli, Inbar Mosseri
Still-Moving: Customized Video Generation without Customized Video Data. CoRR (2024)
Assaf Shocher, Amil Dravid, Yossi Gandelsman, Inbar Mosseri, Michael Rubinstein, Alexei A. Efros
Idempotent Generative Network. ICLR (2024)
Mohamed El Banani, Amit Raj, Kevis-Kokitsi Maninis, Abhishek Kar, Yuanzhen Li, Michael Rubinstein, Deqing Sun, Leonidas J. Guibas, Justin Johnson, Varun Jampani
Probing the 3D Awareness of Visual Foundation Models. CoRR (2024)
Nataniel Ruiz, Yuanzhen Li, Neal Wadhwa, Yael Pritch, Michael Rubinstein, David E. Jacobs, Shlomi Fruchter
Magic Insert: Style-Aware Drag-and-Drop. CoRR (2024)
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Wei Wei, Tingbo Hou, Yael Pritch, Neal Wadhwa, Michael Rubinstein, Kfir Aberman
HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models. CoRR (2023)
Hong-Xing Yu, Haoyi Duan, Junhwa Hur, Kyle Sargent, Michael Rubinstein, William T. Freeman, Forrester Cole, Deqing Sun, Noah Snavely, Jiajun Wu, Charles Herrmann
WonderJourney: Going from Anywhere to Everywhere. CoRR (2023)
Chun-Han Yao, Amit Raj, Wei-Chih Hung, Michael Rubinstein, Yuanzhen Li, Ming-Hsuan Yang, Varun Jampani
ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections. NeurIPS (2023)
Brandon Y. Feng, Hadi Alzayer, Michael Rubinstein, William T. Freeman, Jia-Bin Huang
3D Motion Magnification: Visualizing Subtle Motions with Time-Varying Radiance Fields. ICCV (2023)
Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, José Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Patrick Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan
Muse: Text-To-Image Generation via Masked Generative Transformers. ICML (2023)
Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani
Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble. CVPR (2023)
Itai Lang, Dror Aiger, Forrester Cole, Shai Avidan, Michael Rubinstein
SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow. CVPR (2023)
Kihyuk Sohn, Lu Jiang, Jarred Barber, Kimin Lee, Nataniel Ruiz, Dilip Krishnan, Huiwen Chang, Yuanzhen Li, Irfan Essa, Michael Rubinstein, Yuan Hao, Glenn Entis, Irina Blok, Daniel Castro Chin
StyleDrop: Text-to-Image Synthesis of Any Style. NeurIPS (2023)
Assaf Shocher, Amil Dravid, Yossi Gandelsman, Inbar Mosseri, Michael Rubinstein, Alexei A. Efros
Idempotent Generative Network. CoRR (2023)
Berthy T. Feng, Jamie Smith, Michael Rubinstein, Huiwen Chang, Katherine L. Bouman, William T. Freeman
Score-Based Diffusion Models as Principled Priors for Inverse Imaging. CoRR (2023)
Berthy T. Feng, Jamie Smith, Michael Rubinstein, Huiwen Chang, Katherine L. Bouman, William T. Freeman
Score-Based Diffusion Models as Principled Priors for Inverse Imaging. ICCV (2023)
Manel Baradad, Yuanzhen Li, Forrester Cole, Michael Rubinstein, Antonio Torralba, William T. Freeman, Varun Jampani
Background Prompting for Improved Object Depth. CoRR (2023)
Kihyuk Sohn, Nataniel Ruiz, Kimin Lee, Daniel Castro Chin, Irina Blok, Huiwen Chang, Jarred Barber, Lu Jiang, Glenn Entis, Yuanzhen Li, Yuan Hao, Irfan Essa, Michael Rubinstein, Dilip Krishnan
StyleDrop: Text-to-Image Generation in Any Style. CoRR (2023)
Amit Raj, Srinivas Kaza, Ben Poole, Michael Niemeyer, Nataniel Ruiz, Ben Mildenhall, Shiran Zada, Kfir Aberman, Michael Rubinstein, Jonathan T. Barron, Yuanzhen Li, Varun Jampani
DreamBooth3D: Subject-Driven Text-to-3D Generation. ICCV (2023)
Luming Tang, Nataniel Ruiz, Qinghao Chu, Yuanzhen Li, Aleksander Holynski, David E. Jacobs, Bharath Hariharan, Yael Pritch, Neal Wadhwa, Kfir Aberman, Michael Rubinstein
RealFill: Reference-Driven Generation for Authentic Image Completion. CoRR (2023)
Brandon Y. Feng, Hadi Alzayer, Michael Rubinstein, William T. Freeman, Jia-Bin Huang
3D Motion Magnification: Visualizing Subtle Motions with Time Varying Radiance Fields. CoRR (2023)
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, Kfir Aberman
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation. CVPR (2023)
Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, José Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan
Muse: Text-To-Image Generation via Masked Generative Transformers. CoRR (2023)
Chun-Han Yao, Amit Raj, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani
ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections. CoRR (2023)
Amit Raj, Srinivas Kaza, Ben Poole, Michael Niemeyer, Nataniel Ruiz, Ben Mildenhall, Shiran Zada, Kfir Aberman, Michael Rubinstein, Jonathan T. Barron, Yuanzhen Li, Varun Jampani
DreamBooth3D: Subject-Driven Text-to-3D Generation. CoRR (2023)
Zhoutong Zhang, Forrester Cole, Zhengqi Li, Michael Rubinstein, Noah Snavely, William T. Freeman
Structure and Motion from Casual Videos. ECCV (33) (2022)
Deqing Sun, Charles Herrmann, Fitsum A. Reda, Michael Rubinstein, David J. Fleet, William T. Freeman
Disentangling Architecture and Training for Optical Flow. ECCV (22) (2022)
Kfir Aberman, Junfeng He, Yossi Gandelsman, Inbar Mosseri, David E. Jacobs, Kai Kohlhoff, Yael Pritch, Michael Rubinstein
Deep Saliency Prior for Reducing Visual Distraction. CVPR (2022)
Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani
LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery. CoRR (2022)
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, Kfir Aberman
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation. CoRR (2022)
Deqing Sun, Charles Herrmann, Fitsum A. Reda, Michael Rubinstein, David J. Fleet, William T. Freeman
What Makes RAFT Better Than PWC-Net? CoRR (2022)
Itai Lang, Dror Aiger, Forrester Cole, Shai Avidan, Michael Rubinstein
SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow. CoRR (2022)
Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani
LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery. NeurIPS (2022)
Medhini Narasimhan, Arsha Nagrani, Chen Sun, Michael Rubinstein, Trevor Darrell, Anna Rohrbach, Cordelia Schmid
TL;DW? Summarizing Instructional Videos with Task Relevance and Cross-Modal Saliency. ECCV (34) (2022)
Medhini Narasimhan, Arsha Nagrani, Chen Sun, Michael Rubinstein, Trevor Darrell, Anna Rohrbach, Cordelia Schmid
TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliency. CoRR (2022)
Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani
Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble. CoRR (2022)
Erika Lu, Forrester Cole, Weidi Xie, Tali Dekel, Bill Freeman, Andrew Zisserman, Michael Rubinstein
Associating Objects and Their Effects in Video through Coordination Games. NeurIPS (2022)
Erika Lu, Forrester Cole, Tali Dekel, Andrew Zisserman, William T. Freeman, Michael Rubinstein
Omnimatte: Associating Objects and Their Effects in Video. CoRR (2021)
Erika Lu, Forrester Cole, Tali Dekel, Andrew Zisserman, William T. Freeman, Michael Rubinstein
Omnimatte: Associating Objects and Their Effects in Video. CVPR (2021)
Kfir Aberman, Junfeng He, Yossi Gandelsman, Inbar Mosseri, David E. Jacobs, Kai Kohlhoff, Yael Pritch, Michael Rubinstein
Deep Saliency Prior for Reducing Visual Distraction. CoRR (2021)
Erika Lu, Forrester Cole, Tali Dekel, Weidi Xie, Andrew Zisserman, David Salesin, William T. Freeman, Michael Rubinstein
Layered Neural Rendering for Retiming People in Video. CoRR (2020)
Sagie Benaim, Ariel Ephrat, Oran Lang, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Michal Irani, Tali Dekel
SpeedNet: Learning the Speediness in Videos. CVPR (2020)
Erika Lu, Forrester Cole, Tali Dekel, Weidi Xie, Andrew Zisserman, David Salesin, William T. Freeman, Michael Rubinstein
Layered neural rendering for retiming people in video. ACM Trans. Graph. 39 (6) (2020)
Sagie Benaim, Ariel Ephrat, Oran Lang, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Michal Irani, Tali Dekel
SpeedNet: Learning the Speediness in Videos. CoRR (2020)
Robert Morhard, Jenna L. Mueller, Qishun Tang, Corrine Nief, Erika Chelales, Christopher T. Lam, Daniel Adrianzen Alvarez, Michael Rubinstein, David F. Katz, Nimmi Ramanujam
Understanding Factors Governing Distribution Volume of Ethyl Cellulose-Ethanol to Optimize Ablative Therapy in the Liver. IEEE Trans. Biomed. Eng. 67 (8) (2020)
Tae-Hyun Oh, Tali Dekel, Changil Kim, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Wojciech Matusik
Speech2Face: Learning the Face Behind a Voice. CVPR (2019)
Tae-Hyun Oh, Tali Dekel, Changil Kim, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Wojciech Matusik
Speech2Face: Learning the Face Behind a Voice. CoRR (2019)
Ariel Ephrat, Inbar Mosseri, Oran Lang, Tali Dekel, Kevin Wilson, Avinatan Hassidim, William T. Freeman, Michael Rubinstein
Looking to listen at the cocktail party: a speaker-independent audio-visual model for speech separation. ACM Trans. Graph. 37 (4) (2018)
Ariel Ephrat, Inbar Mosseri, Oran Lang, Tali Dekel, Kevin Wilson, Avinatan Hassidim, William T. Freeman, Michael Rubinstein
Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation. CoRR (2018)
Abe Davis, Katherine L. Bouman, Justin G. Chen, Michael Rubinstein, Oral Büyüköztürk, Frédo Durand, William T. Freeman
Visual Vibrometry: Estimating Material Properties from Small Motions in Video. IEEE Trans. Pattern Anal. Mach. Intell. 39 (4) (2017)
Neal Wadhwa, Justin G. Chen, Jonathan B. Sellon, Donglai Wei, Michael Rubinstein, Roozbeh Ghaffari, Dennis M. Freeman, Oral Büyüköztürk, Pai Wang, Sijie Sun, Sung Hoon Kang, Katia Bertoldi, Frédo Durand, William T. Freeman
Motion microscopy for visualizing and quantifying small motions. Proc. Natl. Acad. Sci. USA 114 (44) (2017)
Tali Dekel, Michael Rubinstein, Ce Liu, William T. Freeman
On the Effectiveness of Visible Watermarks. CVPR (2017)
Neal Wadhwa, Hao-Yu Wu, Abe Davis, Michael Rubinstein, Eugene Shih, Gautham J. Mysore, Justin G. Chen, Oral Büyüköztürk, John V. Guttag, William T. Freeman, Frédo Durand
Eulerian video magnification and analysis. Commun. ACM 60 (1) (2017)
Michael Rubinstein, Ce Liu, William T. Freeman
Joint Inference in Weakly-Annotated Image Datasets via Dense Correspondence. Int. J. Comput. Vis. 119 (1) (2016)
Tali Dekel, Shaul Oron, Michael Rubinstein, Shai Avidan, William T. Freeman
Best-Buddies Similarity for robust template matching. CVPR (2015)
Abe Davis, Katherine L. Bouman, Justin G. Chen, Michael Rubinstein, Frédo Durand, William T. Freeman
Visual vibrometry: Estimating material properties from small motions in video. CVPR (2015)
Tianfan Xue, Michael Rubinstein, Ce Liu, William T. Freeman
A computational approach for obstruction-free photography. ACM Trans. Graph. 34 (4) (2015)
Abe Davis, Michael Rubinstein, Neal Wadhwa, Gautham J. Mysore, Frédo Durand, William T. Freeman
The visual microphone: passive recovery of sound from video. ACM Trans. Graph. 33 (4) (2014)
Neal Wadhwa, Michael Rubinstein, Frédo Durand, William T. Freeman
Riesz pyramids for fast phase-based video magnification. ICCP (2014)
Tianfan Xue, Michael Rubinstein, Neal Wadhwa, Anat Levin, Frédo Durand, William T. Freeman
Refraction Wiggles for Measuring Fluid Depth and Velocity from Video. ECCV (3) (2014)
Neal Wadhwa, Michael Rubinstein, Frédo Durand, William T. Freeman
Phase-based video motion processing. ACM Trans. Graph. 32 (4) (2013)
Michael Rubinstein, Armand Joulin, Johannes Kopf, Ce Liu
Unsupervised Joint Object Discovery and Segmentation in Internet Images. CVPR (2013)
Michael Rubinstein, Ce Liu, William T. Freeman
Annotation Propagation in Large Image Databases via Dense Image Correspondence. ECCV (3) (2012)
Hao-Yu Wu, Michael Rubinstein, Eugene Shih, John V. Guttag, Frédo Durand, William T. Freeman
Eulerian video magnification for revealing subtle changes in the world. ACM Trans. Graph. 31 (4) (2012)
Matthew W. Alderson, Michael Rubinstein
). Exp. Math. 21 (3) (2012)
Michael Rubinstein, Ce Liu
Towards Longer Long-Range Motion Trajectories. BMVC (2012)
Michael Rubinstein, Ce Liu, Peter Sand, Frédo Durand, William T. Freeman
Motion denoising with application to time-lapse photography. CVPR (2011)
Michael Rubinstein, Diego Gutierrez, Olga Sorkine, Ariel Shamir
A comparative study of image retargeting. ACM Trans. Graph. 29 (6) (2010)
Michael Rubinstein, Ariel Shamir, Shai Avidan
Multi-operator media retargeting. ACM Trans. Graph. 28 (3) (2009)
Michael Rubinstein, Ariel Shamir, Shai Avidan
Improved seam carving for video retargeting. ACM Trans. Graph. 27 (3) (2008)
J. Brian Conrey, J. P. Keating, Michael Rubinstein, Nina C. Snaith
Random Matrix Theory and the Fourier Coefficients of Half-Integral-Weight Forms. Exp. Math. 15 (1) (2006)
Ariel Shamir, Michael Rubinstein, Tomer Levinboim
Generating Comics from 3D Interactive Computer Graphics. IEEE Computer Graphics and Applications 26 (3) (2006)
Andrew M. Odlyzko, Michael Rubinstein, Marek Wolf
Jumping Champions. Exp. Math. 8 (2) (1999)
Bjorn Poonen, Michael Rubinstein
The Number of Intersection Points Made by the Diagonals of a Regular Polygon. SIAM J. Discret. Math. 11 (1) (1998)
A. Robert Calderbank, Gary McGuire, Bjorn Poonen, Michael Rubinstein
On a conjecture of Helleseth regarding pairs of binary m-sequences. IEEE Trans. Inf. Theory 42 (3) (1996)
Michael Rubinstein, Peter Sarnak
Chebyshev's Bias. Exp. Math. 3 (3) (1994)

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Publication Activity (10 Years)

Top Topics

Top Venues

Michael Rubinstein