Super resolution from image sequences. - Michal Irani; Shmuel Peleg (ICPR (2), 1990)

Improving resolution by image registration. - Michal Irani; Shmuel Peleg (CVGIP Graph. Model. Image Process., 1991)

Image sequence enhancement using multiple motions analysis. - Michal Irani; Shmuel Peleg (CVPR, 1992)

Detecting and Tracking Multiple Moving Objects Using Temporal Integration. - Michal Irani; Benny Rousso; Shmuel Peleg (ECCV, 1992)

Robust Recovery of Ego-Motion. - Michal Irani; Benny Rousso; Shmuel Peleg (CAIP, 1993)

Motion Analysis for Image Enhancement: Resolution, Occlusion, and Transparency. - Michal Irani; Shmuel Peleg (J. Vis. Commun. Image Represent., 1993)

Isolating multiple 2D image motions for image enhancement and for 3D motion analysis (בדוד תנועות דו-ממדיות מרבות בתמונות לצרך שפור איכות התמונות ולאנליזה של תנועה תלת-ממדית.). - Michal Irani (1993)

Recovery of ego-motion using image stabilization. - Michal Irani; Benny Rousso; Shmuel Peleg (CVPR, 1994)

Computing occluding and transparent motions. - Michal Irani; Benny Rousso; Shmuel Peleg (Int. J. Comput. Vis., 1994)

Mosaic Based Representations of Video Sequences and Their Applications. - Michal Irani; P. Anandan 001; Steven C. Hsu (ICCV, 1995)

Video as an image data source: efficient representations and applications. - P. Anandan 001; Michal Irani; Rakesh Kumar 001; James R. Bergen (ICIP, 1995)

Video compression using mosaic representations. - Michal Irani; Steven C. Hsu; P. Anandan 001 (Signal Process. Image Commun., 1995)

Parallax Geometry of Pairs of Points for 3D Scene Analysis. - Michal Irani; P. Anandan 001 (ECCV (1), 1996)

Efficient representations of video sequences and their applications. - Michal Irani; P. Anandan 001; Jim Bergen; Rakesh Kumar 001; Steven C. Hsu (Signal Process. Image Commun., 1996)

Interactive content-based video indexing and browsing. - Michal Irani; Harpreet S. Sawhney; Rakesh Kumar 001; P. Anandan 001 (MMSP, 1997)

Recovery of Ego-Motion Using Region Alignment. - Michal Irani; Benny Rousso; Shmuel Peleg (IEEE Trans. Pattern Anal. Mach. Intell., 1997)

From Reference Frames to Reference Planes: Multi-View Parallax Geometry and Applications. - Michal Irani; P. Anandan 001; Daphna Weinshall (ECCV (2), 1998)

Robust Multi-Sensor Image Alignment. - Michal Irani; P. Anandan 001 (ICCV, 1998)

From Ordinal to Euclidean Reconstruction with Partial Scene Calibration. - Daphna Weinshall; P. Anandan 001; Michal Irani (SMILE, 1998)

A Unified Approach to Moving Object Detection in 2D and 3D Scenes. - Michal Irani; P. Anandan 001 (IEEE Trans. Pattern Anal. Mach. Intell., 1998)

Video indexing based on mosaic representations. - Michal Irani; P. Anandan 001 (Proc. IEEE, 1998)

Multi-Frame Alignment of Planes. - Lihi Zelnik-Manor; Michal Irani (CVPR, 1999)

Multi-Frame Optical Flow Estimation using Subspace Constraints. - Michal Irani (ICCV, 1999)

Multi-View Subspace Constraints on Homographies. - Lihi Zelnik-Manor; Michal Irani (ICCV, 1999)

About Direct Methods. - Michal Irani; P. Anandan 001 (Workshop on Vision Algorithms, 1999)

Step towards Sequence-to-Sequence Alignment. - Yaron Caspi; Michal Irani (CVPR, 2000)

Multi-Frame Estimation of Planar Motion. - Lihi Zelnik-Manor; Michal Irani (IEEE Trans. Pattern Anal. Mach. Intell., 2000)

Event-Based Analysis of Video. - Lihi Zelnik-Manor; Michal Irani (CVPR (2), 2001)

Alignment of Non-Overlapping Sequences. - Yaron Caspi; Michal Irani (ICCV, 2001)

What Does the Scene Look Like from a Scene Point? - Michal Irani; Tal Hassner; P. Anandan 001 (ECCV (2), 2002)

Increasing Space-Time Resolution in Video. - Eli Shechtman; Yaron Caspi; Michal Irani (ECCV (1), 2002)

Factorization with Uncertainty. - P. Anandan 001; Michal Irani (Int. J. Comput. Vis., 2002)

Aligning Non-Overlapping Sequences. - Yaron Caspi; Michal Irani (Int. J. Comput. Vis., 2002)

Multi-Frame Correspondence Estimation Using Subspace Constraints. - Michal Irani (Int. J. Comput. Vis., 2002)

Spatio-Temporal Alignment of Sequences. - Yaron Caspi; Michal Irani (IEEE Trans. Pattern Anal. Mach. Intell., 2002)

Direct Recovery of Planar-Parallax from Multiple Frames. - Michal Irani; P. Anandan 001; Meir Cohen (IEEE Trans. Pattern Anal. Mach. Intell., 2002)

Multiview Constraints on Homographies. - Lihi Zelnik-Manor; Michal Irani (IEEE Trans. Pattern Anal. Mach. Intell., 2002)

Degeneracies, Dependencies and their Implications in Multi-body and Multi-Sequence Factorizations. - Lihi Zelnik-Manor; Michal Irani (CVPR (2), 2003)

Space-Time Video Completion. - Yonatan Wexler; Eli Shechtman; Michal Irani (CVPR (1), 2004)

Separating Transparent Layers through Layer Information Exchange. - Bernard Sarel; Michal Irani (ECCV (4), 2004)

Temporal Factorization vs. Spatial Factorization. - Lihi Zelnik-Manor; Michal Irani (ECCV (2), 2004)

Space-Time Behavior Based Correlation. - Eli Shechtman; Michal Irani (CVPR (1), 2005)

Separating Transparent Layers of Repetitive Dynamic Behaviors. - Bernard Sarel; Michal Irani (ICCV, 2005)

Space-Time Super-Resolution. - Eli Shechtman; Yaron Caspi; Michal Irani (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

Aligning Sequences and Actions by Maximizing Space-Time Correlations. - Yaron Ukrainitz; Michal Irani (ECCV (3), 2006)

Similarity by Composition. - Oren Boiman; Michal Irani (NIPS, 2006)

Feature-Based Sequence-to-Sequence Matching. - Yaron Caspi; Denis Simakov; Michal Irani (Int. J. Comput. Vis., 2006)

On Single-Sequence and Multi-Sequence Factorizations. - Lihi Zelnik-Manor; Michal Irani (Int. J. Comput. Vis., 2006)

Multi-body Factorization with Uncertainty: Revisiting Motion Consistency. - Lihi Zelnik-Manor; Moshe Machline; Michal Irani (Int. J. Comput. Vis., 2006)

Statistical Analysis of Dynamic Actions. - Lihi Zelnik-Manor; Michal Irani (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Matching Local Self-Similarities across Images and Videos. - Eli Shechtman; Michal Irani (CVPR, 2007)

Seeing the Invisible and Predicting the Unexpected. - Michal Irani (IbPRIA (1), 2007)

Detecting Irregularities in Images and in Video. - Oren Boiman; Michal Irani (Int. J. Comput. Vis., 2007)

Actions as Space-Time Shapes. - Lena Gorelick; Moshe Blank; Eli Shechtman; Michal Irani; Ronen Basri (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Space-Time Behavior-Based Correlation - OR - How to Tell If Two Underlying Motion Fields Are Similar Without Computing Them? - Eli Shechtman; Michal Irani (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Space-Time Completion of Video. - Yonatan Wexler; Eli Shechtman; Michal Irani (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

In defense of Nearest-Neighbor based image classification. - Oren Boiman; Eli Shechtman; Michal Irani (CVPR, 2008)

Summarizing visual data using bidirectional similarity. - Denis Simakov; Yaron Caspi; Eli Shechtman; Michal Irani (CVPR, 2008)

What Is a Good Image Segment? A Unified Approach to Segment Extraction. - Shai Bagon; Oren Boiman; Michal Irani (ECCV (4), 2008)

Super-resolution from a single image. - Daniel Glasner; Shai Bagon; Michal Irani (ICCV, 2009)

Detecting and sketching the common. - Shai Bagon; Or Brostovski; Meirav Galun; Michal Irani (CVPR, 2010)

Regenerative morphing. - Eli Shechtman; Alex Rav-Acha; Michal Irani; Steven M. Seitz (CVPR, 2010)

Space-time super-resolution from a single video. - Oded Shahar; Alon Faktor; Michal Irani (CVPR, 2011)

Internal statistics of a single natural image. - Maria Zontak; Michal Irani (CVPR, 2011)

Separating Signal from Noise Using Patch Recurrence across Scales. - Maria Zontak; Inbar Mosseri; Michal Irani (CVPR, 2013)

Combining the power of Internal and External denoising. - Inbar Mosseri; Maria Zontak; Michal Irani (ICCP, 2013)

Co-segmentation by Composition. - Alon Faktor; Michal Irani (ICCV, 2013)

Nonparametric Blind Super-resolution. - Tomer Michaeli; Michal Irani (ICCV, 2013)

Video Segmentation by Non-Local Consensus voting. - Alon Faktor; Michal Irani (BMVC, 2014)

Blind Deblurring Using Internal Patch Recurrence. - Tomer Michaeli; Michal Irani (ECCV (3), 2014)

"Clustering by Composition" - Unsupervised Discovery of Image Categories. - Alon Faktor; Michal Irani (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Revealing and modifying non-local variations in a single image. - Tali Dekel; Tomer Michaeli; Michal Irani; William T. Freeman (ACM Trans. Graph., 2015)

Needle-Match: Reliable Patch Matching under High Uncertainty. - Or Lotan; Michal Irani (CVPR, 2016)

Blind dehazing using internal patch recurrence. - Yuval Bahat; Michal Irani (ICCP, 2016)

Temporal-Needle: A view and appearance invariant video descriptor. - Michal Yarom; Michal Irani (CoRR, 2016)

Non-uniform Blind Deblurring by Reblurring. - Yuval Bahat; Netalee Efrat; Michal Irani (ICCV, 2017)

"Zero-Shot" Super-Resolution Using Deep Internal Learning. - Assaf Shocher; Nadav Cohen; Michal Irani (CVPR, 2018)

Internal Distribution Matching for Natural Image Retargeting. - Assaf Shocher; Shai Bagon; Phillip Isola; Michal Irani (CoRR, 2018)

Perceptual Dominance in Brief Presentations of Mixed Images: Human Perception vs. Deep Neural Networks. - Liron Z. Gruber; Aia Haruvi; Ronen Basri; Michal Irani (Frontiers Comput. Neurosci., 2018)

"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors. - Yossi Gandelsman; Assaf Shocher; Michal Irani (CVPR, 2019)

InGAN: Capturing and Retargeting the "DNA" of a Natural Image. - Assaf Shocher; Shai Bagon; Phillip Isola; Michal Irani (ICCV, 2019)

AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. - Andreas Lugmayr; Nam Hyung Joon; Yu Seung Won; Guisik Kim; Dokyeong Kwon; Chih-Chung Hsu; Chia-Hsiang Lin; Yuanfei Huang; Xiaopeng Sun; Wen Lu; Jie Li 001; Martin Danelljan; et al. (ICCV Workshops, 2019)

Unsupervised Internal Learning. - Michal Irani (ICPRAM, 2019)

From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI. - Roman Beliy; Guy Gaziv; Assaf Hoogi; Francesca Strappini; Tal Golan; Michal Irani (NeurIPS, 2019)

Blind Super-Resolution Kernel Estimation using an Internal-GAN. - Sefi Bell-Kligler; Assaf Shocher; Michal Irani (NeurIPS, 2019)

Natural and Adversarial Error Detection using Invariance to Image Transformations. - Yuval Bahat; Michal Irani; Gregory Shakhnarovich (CoRR, 2019)

"Blind" visual inference by composition. - Michal Irani (Pattern Recognit. Lett., 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)

Semantic Pyramid for Image Generation. - Assaf Shocher; Yossi Gandelsman; Inbar Mosseri; Michal Yarom; Michal Irani; William T. Freeman; Tali Dekel (CVPR, 2020)

Across Scales and Across Dimensions: Temporal Super-Resolution Using Deep Internal Learning. - Liad Pollak Zuckerman; Eyal Naor; George Pisha; Shai Bagon; Michal Irani (ECCV (7), 2020)

Across Scales & Across Dimensions: Temporal Super-Resolution using Deep Internal Learning. - Liad Pollak Zuckerman; Shai Bagon; Eyal Naor; George Pisha; Michal Irani (CoRR, 2020)

From Discrete to Continuous Convolution Layers. - Assaf Shocher; Ben Feinstein; Niv Haim; Michal Irani (CoRR, 2020)

Explaining in Style: Training a GAN to explain a classifier in StyleSpace. - Oran Lang; Yossi Gandelsman; Michal Yarom; Yoav Wald; Gal Elidan; Avinatan Hassidim; William T. Freeman; Phillip Isola; Amir Globerson; Michal Irani; Inbar Mosseri (ICCV, 2021)

More than meets the eye: Self-supervised depth reconstruction from brain activity. - Guy Gaziv; Michal Irani (CoRR, 2021)

Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models. - Niv Granot; Ben Feinstein; Assaf Shocher; Shai Bagon; Michal Irani (CVPR, 2022)

"Deep Internal Learning": Deep Learning and Visual Inference without Prior Examples. - Michal Irani (DeLTA, 2022)

Diverse Generation from a Single Video Made Possible. - Niv Haim; Ben Feinstein; Niv Granot; Assaf Shocher; Shai Bagon; Tali Dekel; Michal Irani (ECCV (17), 2022)

Combining Internal and External Constraints for Unrolling Shutter in Videos. - Eyal Naor; Itai Antebi; Shai Bagon; Michal Irani (ECCV (17), 2022)

Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images. - Shiran Zada; Itay Benou; Michal Irani (ICML, 2022)

Reconstructing Training Data From Trained Neural Networks. - Niv Haim; Gal Vardi; Gilad Yehudai; Ohad Shamir; Michal Irani (NeurIPS, 2022)

Self-Distilled StyleGAN: Towards Generation from Internet Photos. - Ron Mokady; Omer Tov; Michal Yarom; Oran Lang; Inbar Mosseri; Tali Dekel; Daniel Cohen-Or; Michal Irani (SIGGRAPH (Conference Paper Track), 2022)

Diverse Video Generation from a Single Video. - Niv Haim; Ben Feinstein; Niv Granot; Assaf Shocher; Shai Bagon; Tali Dekel; Michal Irani (CoRR, 2022)

A Penny for Your (visual) Thoughts: Self-Supervised Reconstruction of Natural Movies from Brain Activity. - Ganit Kupershmidt; Roman Beliy; Guy Gaziv; Michal Irani (CoRR, 2022)

Self-supervised Natural Image Reconstruction and Large-scale Semantic Classification from Brain Activity. - Guy Gaziv; Roman Beliy; Niv Granot; Assaf Hoogi; Francesca Strappini; Tal Golan; Michal Irani (NeuroImage, 2022)

Imagic: Text-Based Real Image Editing with Diffusion Models. - Bahjat Kawar; Shiran Zada; Oran Lang; Omer Tov; Huiwen Chang; Tali Dekel; Inbar Mosseri; Michal Irani (CVPR, 2023)

Teaching CLIP to Count to Ten. - Roni Paiss; Ariel Ephrat; Omer Tov; Shiran Zada; Inbar Mosseri; Michal Irani; Tali Dekel (ICCV, 2023)

SinFusion: Training Diffusion Models on a Single Image or Video. - Yaniv Nikankin; Niv Haim; Michal Irani (ICML, 2023)

Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses. - Gon Buzaglo; Niv Haim; Gilad Yehudai; Gal Vardi; Yakir Oz; Yaniv Nikankin; Michal Irani (NeurIPS, 2023)

Reconstructing Training Data from Multiclass Neural Networks. - Gon Buzaglo; Niv Haim; Gilad Yehudai; Gal Vardi; Michal Irani (CoRR, 2023)

The Hidden Language of Diffusion Models. - Hila Chefer; Oran Lang; Mor Geva; Volodymyr Polosukhin; Assaf Shocher; Michal Irani; Inbar Mosseri; Lior Wolf (ICLR, 2024)

The Wisdom of a Crowd of Brains: A Universal Brain Encoder. - Roman Beliy; Navve Wasserman; Amit Zalcher; Michal Irani (CoRR, 2024)

Reconstructing Training Data From Real World Models Trained with Transfer Learning. - Yakir Oz; Gilad Yehudai; Gal Vardi; Itai Antebi; Michal Irani; Niv Haim (CoRR, 2024)

Don't Judge Before You CLIP: A Unified Approach for Perceptual Tasks. - Amit Zalcher; Navve Wasserman; Roman Beliy; Oliver Heinimann; Michal Irani (CoRR, 2025)

KernelFusion: Assumption-Free Blind Super-Resolution via Patch Diffusion. - Oliver Heinimann; Assaf Shocher; Tal Zimbalist; Michal Irani (CoRR, 2025)

DocReRank: Single-Page Hard Negative Query Generation for Training Multi-Modal RAG Rerankers. - Navve Wasserman; Oliver Heinimann; Yuval Golbari; Tal Zimbalist; Eli Schwartz; Michal Irani (CoRR, 2025)