Chebyshev's Bias. - Michael Rubinstein; Peter Sarnak (Exp. Math., 1994)

On a conjecture of Helleseth regarding pairs of binary m-sequences. - A. Robert Calderbank; Gary McGuire; Bjorn Poonen; Michael Rubinstein (IEEE Trans. Inf. Theory, 1996)

The Number of Intersection Points Made by the Diagonals of a Regular Polygon. - Bjorn Poonen; Michael Rubinstein (SIAM J. Discret. Math., 1998)

Jumping Champions. - Andrew M. Odlyzko; Michael Rubinstein; Marek Wolf (Exp. Math., 1999)

Generating Comics from 3D Interactive Computer Graphics. - Ariel Shamir; Michael Rubinstein; Tomer Levinboim (IEEE Computer Graphics and Applications, 2006)

Random Matrix Theory and the Fourier Coefficients of Half-Integral-Weight Forms. - J. Brian Conrey; J. P. Keating; Michael Rubinstein; Nina C. Snaith (Exp. Math., 2006)

Improved seam carving for video retargeting. - Michael Rubinstein; Ariel Shamir; Shai Avidan (ACM Trans. Graph., 2008)

Multi-operator media retargeting. - Michael Rubinstein; Ariel Shamir; Shai Avidan (ACM Trans. Graph., 2009)

A comparative study of image retargeting. - Michael Rubinstein; Diego Gutierrez; Olga Sorkine; Ariel Shamir (ACM Trans. Graph., 2010)

Motion denoising with application to time-lapse photography. - Michael Rubinstein; Ce Liu 001; Peter Sand; Frédo Durand; William T. Freeman (CVPR, 2011)

Towards Longer Long-Range Motion Trajectories. - Michael Rubinstein; Ce Liu 001 (BMVC, 2012)

Annotation Propagation in Large Image Databases via Dense Image Correspondence. - Michael Rubinstein; Ce Liu 001; William T. Freeman (ECCV (3), 2012)

Conjectures and Experiments Concerning the Moments of L(1/2, χ d ). - Matthew W. Alderson; Michael Rubinstein (Exp. Math., 2012)

Eulerian video magnification for revealing subtle changes in the world. - Hao-Yu Wu; Michael Rubinstein; Eugene Shih; John V. Guttag; Frédo Durand; William T. Freeman (ACM Trans. Graph., 2012)

Unsupervised Joint Object Discovery and Segmentation in Internet Images. - Michael Rubinstein; Armand Joulin; Johannes Kopf 001; Ce Liu 001 (CVPR, 2013)

Phase-based video motion processing. - Neal Wadhwa; Michael Rubinstein; Frédo Durand; William T. Freeman (ACM Trans. Graph., 2013)

Refraction Wiggles for Measuring Fluid Depth and Velocity from Video. - Tianfan Xue; Michael Rubinstein; Neal Wadhwa; Anat Levin; Frédo Durand; William T. Freeman (ECCV (3), 2014)

Riesz pyramids for fast phase-based video magnification. - Neal Wadhwa; Michael Rubinstein; Frédo Durand; William T. Freeman (ICCP, 2014)

The visual microphone: passive recovery of sound from video. - Abe Davis; Michael Rubinstein; Neal Wadhwa; Gautham J. Mysore; Frédo Durand; William T. Freeman (ACM Trans. Graph., 2014)

Analysis and visualization of temporal variations in video. - Michael Rubinstein (2014)

Visual vibrometry: Estimating material properties from small motions in video. - Abe Davis; Katherine L. Bouman; Justin G. Chen; Michael Rubinstein; Frédo Durand; William T. Freeman (CVPR, 2015)

Best-Buddies Similarity for robust template matching. - Tali Dekel; Shaul Oron; Michael Rubinstein; Shai Avidan; William T. Freeman (CVPR, 2015)

A computational approach for obstruction-free photography. - Tianfan Xue; Michael Rubinstein; Ce Liu 001; William T. Freeman (ACM Trans. Graph., 2015)

Joint Inference in Weakly-Annotated Image Datasets via Dense Correspondence. - Michael Rubinstein; Ce Liu 001; William T. Freeman (Int. J. Comput. Vis., 2016)

On the Effectiveness of Visible Watermarks. - Tali Dekel; Michael Rubinstein; Ce Liu 001; William T. Freeman (CVPR, 2017)

Eulerian video magnification and analysis. - 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 (Commun. ACM, 2017)

Visual Vibrometry: Estimating Material Properties from Small Motions in Video. - Abe Davis; Katherine L. Bouman; Justin G. Chen; Michael Rubinstein; Oral Büyüköztürk; Frédo Durand; William T. Freeman (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Motion microscopy for visualizing and quantifying small motions. - Neal Wadhwa; Justin G. Chen; Jonathan B. Sellon; Donglai Wei 001; Michael Rubinstein; Roozbeh Ghaffari; Dennis M. Freeman; Oral Büyüköztürk; Pai Wang 005; Sijie Sun; Sung Hoon Kang; Katia Bertoldi; et al. (Proc. Natl. Acad. Sci. USA, 2017)

Looking to listen at the cocktail party: a speaker-independent audio-visual model for speech separation. - Ariel Ephrat; Inbar Mosseri; Oran Lang; Tali Dekel; Kevin Wilson; Avinatan Hassidim; William T. Freeman; Michael Rubinstein (ACM Trans. Graph., 2018)

Speech2Face: Learning the Face Behind a Voice. - Tae-Hyun Oh; Tali Dekel; Changil Kim 001; Inbar Mosseri; William T. Freeman; Michael Rubinstein; Wojciech Matusik (CVPR, 2019)

SpeedNet: Learning the Speediness in Videos. - Sagie Benaim; Ariel Ephrat; Oran Lang; Inbar Mosseri; William T. Freeman; Michael Rubinstein; Michal Irani; Tali Dekel (CVPR, 2020)

Understanding Factors Governing Distribution Volume of Ethyl Cellulose-Ethanol to Optimize Ablative Therapy in the Liver. - Robert Morhard; Jenna L. Mueller; Qishun Tang; Corrine Nief; Erika Chelales; Christopher T. Lam; Daniel Adrianzen Alvarez; Michael Rubinstein; David F. Katz; Nimmi Ramanujam (IEEE Trans. Biomed. Eng., 2020)

Layered neural rendering for retiming people in video. - Erika Lu; Forrester Cole; Tali Dekel; Weidi Xie; Andrew Zisserman; David Salesin; William T. Freeman; Michael Rubinstein (ACM Trans. Graph., 2020)

Omnimatte: Associating Objects and Their Effects in Video. - Erika Lu; Forrester Cole; Tali Dekel; Andrew Zisserman; William T. Freeman; Michael Rubinstein (CVPR, 2021)

Deep Saliency Prior for Reducing Visual Distraction. - Kfir Aberman; Junfeng He; Yossi Gandelsman; Inbar Mosseri; David E. Jacobs; Kai Kohlhoff; Yael Pritch; Michael Rubinstein (CVPR, 2022)

TL;DW? Summarizing Instructional Videos with Task Relevance and Cross-Modal Saliency. - Medhini Narasimhan; Arsha Nagrani; Chen Sun 002; Michael Rubinstein; Trevor Darrell; Anna Rohrbach; Cordelia Schmid (ECCV (34), 2022)

Disentangling Architecture and Training for Optical Flow. - Deqing Sun; Charles Herrmann; Fitsum A. Reda; Michael Rubinstein; David J. Fleet; William T. Freeman (ECCV (22), 2022)

Structure and Motion from Casual Videos. - Zhoutong Zhang; Forrester Cole; Zhengqi Li; Michael Rubinstein; Noah Snavely; William T. Freeman (ECCV (33), 2022)

Associating Objects and Their Effects in Video through Coordination Games. - Erika Lu; Forrester Cole; Weidi Xie; Tali Dekel; Bill Freeman; Andrew Zisserman; Michael Rubinstein (NeurIPS, 2022)

LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery. - Chun-Han Yao; Wei-Chih Hung; Yuanzhen Li; Michael Rubinstein; Ming-Hsuan Yang 001; Varun Jampani (NeurIPS, 2022)

What Makes RAFT Better Than PWC-Net? - Deqing Sun; Charles Herrmann; Fitsum A. Reda; Michael Rubinstein; David J. Fleet; William T. Freeman (CoRR, 2022)

TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliency. - Medhini Narasimhan; Arsha Nagrani; Chen Sun 002; Michael Rubinstein; Trevor Darrell; Anna Rohrbach; Cordelia Schmid (CoRR, 2022)

SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow. - Itai Lang; Dror Aiger; Forrester Cole; Shai Avidan; Michael Rubinstein (CVPR, 2023)

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation. - Nataniel Ruiz; Yuanzhen Li; Varun Jampani; Yael Pritch; Michael Rubinstein; Kfir Aberman (CVPR, 2023)

Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble. - Chun-Han Yao; Wei-Chih Hung; Yuanzhen Li; Michael Rubinstein; Ming-Hsuan Yang 001; Varun Jampani (CVPR, 2023)

3D Motion Magnification: Visualizing Subtle Motions with Time-Varying Radiance Fields. - Brandon Y. Feng; Hadi Alzayer; Michael Rubinstein; William T. Freeman; Jia-Bin Huang 001 (ICCV, 2023)

Score-Based Diffusion Models as Principled Priors for Inverse Imaging. - Berthy T. Feng; Jamie Smith; Michael Rubinstein; Huiwen Chang; Katherine L. Bouman; William T. Freeman (ICCV, 2023)

DreamBooth3D: Subject-Driven Text-to-3D Generation. - 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 (ICCV, 2023)

Muse: Text-To-Image Generation via Masked Generative Transformers. - Huiwen Chang; Han Zhang 010; Jarred Barber; Aaron Maschinot; José Lezama; Lu Jiang 004; Ming-Hsuan Yang 001; Kevin Patrick Murphy; William T. Freeman; Michael Rubinstein; Yuanzhen Li; Dilip Krishnan (ICML, 2023)

StyleDrop: Text-to-Image Synthesis of Any Style. - Kihyuk Sohn; Lu Jiang 004; Jarred Barber; Kimin Lee; Nataniel Ruiz; Dilip Krishnan; Huiwen Chang; Yuanzhen Li; Irfan Essa; Michael Rubinstein; Yuan Hao; Glenn Entis; et al. (NeurIPS, 2023)

ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections. - Chun-Han Yao; Amit Raj; Wei-Chih Hung; Michael Rubinstein; Yuanzhen Li; Ming-Hsuan Yang 001; Varun Jampani (NeurIPS, 2023)

StyleDrop: Text-to-Image Generation in Any Style. - Kihyuk Sohn; Nataniel Ruiz; Kimin Lee; Daniel Castro Chin; Irina Blok; Huiwen Chang; Jarred Barber; Lu Jiang 004; Glenn Entis; Yuanzhen Li; Yuan Hao; Irfan Essa; et al. (CoRR, 2023)

Background Prompting for Improved Object Depth. - Manel Baradad; Yuanzhen Li; Forrester Cole; Michael Rubinstein; Antonio Torralba 001; William T. Freeman; Varun Jampani (CoRR, 2023)

Probing the 3D Awareness of Visual Foundation Models. - Mohamed El Banani; Amit Raj; Kevis-Kokitsi Maninis; Abhishek Kar; Yuanzhen Li; Michael Rubinstein; Deqing Sun; Leonidas J. Guibas; Justin Johnson 001; Varun Jampani (CVPR, 2024)

HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models. - Nataniel Ruiz; Yuanzhen Li; Varun Jampani; Wei Wei; Tingbo Hou; Yael Pritch; Neal Wadhwa; Michael Rubinstein; Kfir Aberman (CVPR, 2024)

WonderJourney: Going from Anywhere to Everywhere. - Hong-Xing Yu; Haoyi Duan; Junhwa Hur; Kyle Sargent; Michael Rubinstein; William T. Freeman; Forrester Cole; Deqing Sun; Noah Snavely; Jiajun Wu 001; Charles Herrmann (CVPR, 2024)

Idempotent Generative Network. - Assaf Shocher; Amil Dravid; Yossi Gandelsman; Inbar Mosseri; Michael Rubinstein; Alexei A. Efros (ICLR, 2024)

Lumiere: A Space-Time Diffusion Model for Video Generation. - Omer Bar-Tal; Hila Chefer; Omer Tov; Charles Herrmann; Roni Paiss; Shiran Zada; Ariel Ephrat; Junhwa Hur; Guanghui Liu; Amit Raj; Yuanzhen Li; Michael Rubinstein; et al. (SIGGRAPH Asia, 2024)

VidPanos: Generative Panoramic Videos from Casual Panning Videos. - Jingwei Ma; Erika Lu; Roni Paiss; Shiran Zada; Aleksander Holynski; Tali Dekel; Brian Curless; Michael Rubinstein; Forrester Cole (SIGGRAPH Asia, 2024)

Magic Insert: Style-Aware Drag-and-Drop. - Nataniel Ruiz; Yuanzhen Li; Neal Wadhwa; Yael Pritch; Michael Rubinstein; David E. Jacobs; Shlomi Fruchter (CoRR, 2024)

Motion Prompting: Controlling Video Generation with Motion Trajectories. - Daniel Geng; Charles Herrmann; Junhwa Hur; Forrester Cole; Serena Zhang; Tobias Pfaff; Tatiana Lopez-Guevara; Carl Doersch; Yusuf Aytar; Michael Rubinstein; Chen Sun 002; Oliver Wang; et al. (CoRR, 2024)

RealFill: Reference-Driven Generation for Authentic Image Completion. - Luming Tang; Nataniel Ruiz; Qinghao Chu; Yuanzhen Li; Aleksander Holynski; David E. Jacobs; Bharath Hariharan; Yael Pritch; Neal Wadhwa; Kfir Aberman; Michael Rubinstein (ACM Trans. Graph., 2024)

Still-Moving: Customized Video Generation without Customized Video Data. - Hila Chefer; Shiran Zada; Roni Paiss; Ariel Ephrat; Omer Tov; Michael Rubinstein; Lior Wolf; Tali Dekel; Tomer Michaeli; Inbar Mosseri (ACM Trans. Graph., 2024)

CamCtrl3D: Single-Image Scene Exploration with Precise 3D Camera Control. - Stefan Popov; Amit Raj; Michael Krainin; Yuanzhen Li; William T. Freeman; Michael Rubinstein (3DV, 2025)

High-Resolution Frame Interpolation with Patch-based Cascaded Diffusion. - Junhwa Hur; Charles Herrmann; Saurabh Saxena; Janne Kontkanen; Wei-Sheng Lai; Yichang Shih; Michael Rubinstein; David J. Fleet; Deqing Sun (AAAI, 2025)

Motion Prompting: Controlling Video Generation with Motion Trajectories. - Daniel Geng; Charles Herrmann; Junhwa Hur; Forrester Cole; Serena Zhang; Tobias Pfaff; Tatiana Lopez-Guevara; Yusuf Aytar; Michael Rubinstein; Chen Sun 002; Oliver Wang; Andrew Owens; et al. (CVPR, 2025)

Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens. - Lijie Fan; Tianhong Li; Siyang Qin; Yuanzhen Li; Chen Sun 002; Michael Rubinstein; Deqing Sun; Kaiming He; Yonglong Tian (ICLR, 2025)

Unbounded: A Generative Infinite Game of Character Life Simulation. - Jialu Li; Yuanzhen Li; Neal Wadhwa; Yael Pritch; David E. Jacobs; Michael Rubinstein; Mohit Bansal; Nataniel Ruiz (ICLR, 2025)

Unified Autoregressive Visual Generation and Understanding with Continuous Tokens. - Lijie Fan; Luming Tang; Siyang Qin; Tianhong Li; Xuan Yang; Siyuan Qiao; Andreas Steiner 001; Chen Sun 002; Yuanzhen Li; Tao Zhu; Michael Rubinstein; Michalis Raptis; et al. (CoRR, 2025)