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2020 – today
- 2024
[j22]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. ACM Trans. Graph. 43(4): 135:1-135:12 (2024)- [c31]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. CVPR 2024: 6527-6536 - [c30]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. CVPR 2024: 6658-6667 - [c29]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. CVPR 2024: 21795-21806 - [c28]Assaf Shocher, Amil Dravid, Yossi Gandelsman, Inbar Mosseri, Michael Rubinstein, Alexei A. Efros:
Idempotent Generative Network. ICLR 2024 - [i26]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 abs/2404.08636 (2024) - [i25]Nataniel Ruiz, Yuanzhen Li, Neal Wadhwa, Yael Pritch, Michael Rubinstein, David E. Jacobs, Shlomi Fruchter:
Magic Insert: Style-Aware Drag-and-Drop. CoRR abs/2407.02489 (2024) - [i24]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 abs/2407.08674 (2024) - 2023
- [c27]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: 4853-4862 - [c26]Itai Lang, Dror Aiger, Forrester Cole, Shai Avidan, Michael Rubinstein:
SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow. CVPR 2023: 5281-5290 - [c25]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: 22500-22510 - [c24]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: 2349-2359 - [c23]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: 9803-9812 - [c22]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: 10486-10497 - [c21]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: 4055-4075 - [c20]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 - [c19]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 - [i23]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 abs/2301.00704 (2023) - [i22]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 abs/2303.13508 (2023) - [i21]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 abs/2304.11751 (2023) - [i20]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 abs/2306.00983 (2023) - [i19]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 abs/2306.04619 (2023) - [i18]Manel Baradad, Yuanzhen Li, Forrester Cole, Michael Rubinstein, Antonio Torralba, William T. Freeman, Varun Jampani:
Background Prompting for Improved Object Depth. CoRR abs/2306.05428 (2023) - [i17]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 abs/2307.06949 (2023) - [i16]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 abs/2308.03757 (2023) - [i15]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 abs/2309.16668 (2023) - [i14]Assaf Shocher, Amil Dravid, Yossi Gandelsman, Inbar Mosseri, Michael Rubinstein, Alexei A. Efros:
Idempotent Generative Network. CoRR abs/2311.01462 (2023) - [i13]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 abs/2312.03884 (2023) - 2022
- [c18]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: 19819-19828 - [c17]Zhoutong Zhang, Forrester Cole, Zhengqi Li, Michael Rubinstein, Noah Snavely, William T. Freeman:
Structure and Motion from Casual Videos. ECCV (33) 2022: 20-37 - [c16]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: 165-182 - [c15]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: 540-557 - [c14]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 - [c13]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 - [i12]Deqing Sun, Charles Herrmann, Fitsum A. Reda, Michael Rubinstein, David J. Fleet, William T. Freeman:
What Makes RAFT Better Than PWC-Net? CoRR abs/2203.10712 (2022) - [i11]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 abs/2207.03434 (2022) - [i10]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 abs/2208.06773 (2022) - [i9]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 abs/2208.12242 (2022) - [i8]Itai Lang, Dror Aiger, Forrester Cole, Shai Avidan, Michael Rubinstein:
SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow. CoRR abs/2211.14020 (2022) - [i7]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 abs/2212.11042 (2022) - 2021
- [c12]Erika Lu, Forrester Cole, Tali Dekel, Andrew Zisserman, William T. Freeman, Michael Rubinstein:
Omnimatte: Associating Objects and Their Effects in Video. CVPR 2021: 4507-4515 - [i6]Erika Lu, Forrester Cole, Tali Dekel, Andrew Zisserman, William T. Freeman, Michael Rubinstein:
Omnimatte: Associating Objects and Their Effects in Video. CoRR abs/2105.06993 (2021) - [i5]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 abs/2109.01980 (2021) - 2020
- [j21]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): 2337-2348 (2020) - [j20]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): 256:1-256:14 (2020) - [c11]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: 9919-9928 - [i4]Sagie Benaim, Ariel Ephrat, Oran Lang, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Michal Irani, Tali Dekel:
SpeedNet: Learning the Speediness in Videos. CoRR abs/2004.06130 (2020) - [i3]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 abs/2009.07833 (2020)
2010 – 2019
- 2019
- [c10]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: 7539-7548 - [i2]Tae-Hyun Oh, Tali Dekel, Changil Kim, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Wojciech Matusik:
Speech2Face: Learning the Face Behind a Voice. CoRR abs/1905.09773 (2019) - 2018
- [j19]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): 112 (2018) - [i1]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 abs/1804.03619 (2018) - 2017
- [j18]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): 87-95 (2017) - [j17]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): 732-745 (2017) - [j16]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): 11639-11644 (2017) - [c9]Tali Dekel, Michael Rubinstein, Ce Liu, William T. Freeman:
On the Effectiveness of Visible Watermarks. CVPR 2017: 6864-6872 - 2016
- [j15]Michael Rubinstein, Ce Liu, William T. Freeman:
Joint Inference in Weakly-Annotated Image Datasets via Dense Correspondence. Int. J. Comput. Vis. 119(1): 23-45 (2016) - 2015
- [j14]Tianfan Xue, Michael Rubinstein, Ce Liu, William T. Freeman:
A computational approach for obstruction-free photography. ACM Trans. Graph. 34(4): 79:1-79:11 (2015) - [c8]Tali Dekel, Shaul Oron, Michael Rubinstein, Shai Avidan, William T. Freeman:
Best-Buddies Similarity for robust template matching. CVPR 2015: 2021-2029 - [c7]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: 5335-5343 - 2014
- [b1]Michael Rubinstein:
Analysis and visualization of temporal variations in video. Massachusetts Institute of Technology, Cambridge, MA, USA, 2014 - [j13]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): 79:1-79:10 (2014) - [c6]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: 767-782 - [c5]Neal Wadhwa, Michael Rubinstein, Frédo Durand, William T. Freeman:
Riesz pyramids for fast phase-based video magnification. ICCP 2014: 1-10 - 2013
- [j12]Neal Wadhwa, Michael Rubinstein, Frédo Durand, William T. Freeman:
Phase-based video motion processing. ACM Trans. Graph. 32(4): 80:1-80:10 (2013) - [c4]Michael Rubinstein, Armand Joulin, Johannes Kopf, Ce Liu:
Unsupervised Joint Object Discovery and Segmentation in Internet Images. CVPR 2013: 1939-1946 - 2012
- [j11]Matthew W. Alderson, Michael Rubinstein:
Conjectures and Experiments Concerning the Moments of L(1/2, χ d ). Exp. Math. 21(3): 307-328 (2012) - [j10]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): 65:1-65:8 (2012) - [c3]Michael Rubinstein, Ce Liu:
Towards Longer Long-Range Motion Trajectories. BMVC 2012: 1-11 - [c2]Michael Rubinstein, Ce Liu, William T. Freeman:
Annotation Propagation in Large Image Databases via Dense Image Correspondence. ECCV (3) 2012: 85-99 - 2011
- [c1]Michael Rubinstein, Ce Liu, Peter Sand, Frédo Durand, William T. Freeman:
Motion denoising with application to time-lapse photography. CVPR 2011: 313-320 - 2010
- [j9]Michael Rubinstein, Diego Gutierrez, Olga Sorkine, Ariel Shamir:
A comparative study of image retargeting. ACM Trans. Graph. 29(6): 160 (2010)
2000 – 2009
- 2009
- [j8]Michael Rubinstein, Ariel Shamir, Shai Avidan:
Multi-operator media retargeting. ACM Trans. Graph. 28(3): 23 (2009) - 2008
- [j7]Michael Rubinstein, Ariel Shamir, Shai Avidan:
Improved seam carving for video retargeting. ACM Trans. Graph. 27(3): 16 (2008) - 2006
- [j6]Ariel Shamir, Michael Rubinstein, Tomer Levinboim:
Generating Comics from 3D Interactive Computer Graphics. IEEE Computer Graphics and Applications 26(3): 53-61 (2006) - [j5]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): 67-82 (2006)
1990 – 1999
- 1999
- [j4]Andrew M. Odlyzko, Michael Rubinstein, Marek Wolf:
Jumping Champions. Exp. Math. 8(2): 107-118 (1999) - 1998
- [j3]Bjorn Poonen, Michael Rubinstein:
The Number of Intersection Points Made by the Diagonals of a Regular Polygon. SIAM J. Discret. Math. 11(1): 135-156 (1998) - 1996
- [j2]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): 988-990 (1996) - 1994
- [j1]Michael Rubinstein, Peter Sarnak:
Chebyshev's Bias. Exp. Math. 3(3): 173-197 (1994)
Coauthor Index
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