Non-Isotropic Regularization of the Correspondence Space in Stereo-Vision. - Rami Ben-Ari; Nir A. Sochen (ICPR (4), 2004)

A General Framework and New Alignment Criterion for Dense Optical Flow. - Rami Ben-Ari; Nir A. Sochen (CVPR (1), 2006)

Variational Stereo Vision with Sharp Discontinuities and Occlusion Handling. - Rami Ben-Ari; Nir A. Sochen (ICCV, 2007)

Geodesic Active Contours with Combined Shape and Appearance Priors. - Rami Ben-Ari; Dror Aiger (ACIVS, 2008)

A Geometric Approach for Regularization of the Data Term in Stereo-Vision. - Rami Ben-Ari; Nir A. Sochen (J. Math. Imaging Vis., 2008)

A Geometric Framework and a New Criterion in Optical Flow Modeling. - Rami Ben-Ari; Nir A. Sochen (J. Math. Imaging Vis., 2009)

Stereo Matching with Mumford-Shah Regularization and Occlusion Handling. - Rami Ben-Ari; Nir A. Sochen (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Variational Depth from Defocus in real-time. - Rami Ben-Ari; Gonen Raveh (ICCV Workshops, 2011)

Image De-noising by Bayesian Regression. - Shimon Cohen; Rami Ben-Ari (ICIAP (1), 2011)

A Unified Approach for Registration and Depth in Depth from Defocus. - Rami Ben-Ari (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Shape from Focus with Adaptive Focus Measure and High Order Derivatives. - Yuval Frommer; Rami Ben-Ari; Nahum Kiryati (BMVC, 2015)

A weakly labeled approach for breast tissue segmentation and breast density estimation in digital mammography. - Rami Ben-Ari; Aviad Zlotnick; Sharbell Y. Hashoul (ISBI, 2016)

Medical sieve: a cognitive assistant for radiologists and cardiologists. - Tanveer F. Syeda-Mahmood; Eugene Walach; David Beymer; Flora Gilboa-Solomon; Mehdi Moradi; Pavel Kisilev; Deepika Kakrania; Colin B. Compas; Hongzhi Wang 002; Mohammadreza Negahdar; Yu Cao; Tyler Baldwin; et al. (Computer-Aided Diagnosis, 2016)

A Region Based Convolutional Network for Tumor Detection and Classification in Breast Mammography. - Ayelet Akselrod-Ballin; Leonid Karlinsky; Sharon Alpert; Sharbell Y. Hasoul; Rami Ben-Ari; Ella Barkan (LABELS/DLMIA@MICCAI, 2016)

A computationally efficient tracker with direct appearance-kinematic measure and adaptive Kalman filter. - Rami Ben-Ari; Ohad Ben-Shahar (J. Real Time Image Process., 2016)

Domain specific convolutional neural nets for detection of architectural distortion in mammograms. - Rami Ben-Ari; Ayelet Akselrod-Ballin; Leonid Karlinsky; Sharbell Y. Hashoul (ISBI, 2017)

Classification of breast lesions using cross-modal deep learning. - Omer Hadad; Ran Bakalo; Rami Ben-Ari; Sharbell Y. Hashoul; Guy Amit (ISBI, 2017)

Classification of breast MRI lesions using small-size training sets: comparison of deep learning approaches. - Guy Amit; Rami Ben-Ari; Omer Hadad; Einat Monovich; Noa Granot; Sharbell Y. Hashoul (Computer-Aided Diagnosis, 2017)

Hybrid Mass Detection in Breast MRI Combining Unsupervised Saliency Analysis and Deep Learning. - Guy Amit; Omer Hadad; Sharon Alpert; Tal Tlusty; Yaniv Gur; Rami Ben-Ari; Sharbell Y. Hashoul (MICCAI (3), 2017)

Mammogram Classification and Abnormality Detection from Nonlocal Labels using Deep Multiple Instance Neural Network. - Yoni Choukroun; Ran Bakalo; Rami Ben-Ari; Ayelet Akselrod-Ballin; Ella Barkan; Pavel Kisilev (VCBM, 2017)

Maximizing AUC with Deep Learning for Classification of Imbalanced Mammogram Datasets. - Jeremias Sulam; Rami Ben-Ari; Pavel Kisilev (VCBM, 2017)

Unsupervised clustering of mammograms for outlier detection and breast density estimation. - Tal Tlusty; Guy Amit; Rami Ben-Ari (ICPR, 2018)

Mammogram Classification with Ordered Loss. - Rami Ben-Ari; Yoel Shoshan; Tal Tlusty (AIME, 2019)

Learning to Detect and Retrieve Objects From Unlabeled Videos. - Elad Amrani; Rami Ben-Ari; Tal Hakim; Alex M. Bronstein (ICCV Workshops, 2019)

Classification and Detection in Mammograms With Weak Supervision Via Dual Branch Deep Neural Net. - Ran Bakalo; Rami Ben-Ari; Jacob Goldberger (ISBI, 2019)

A CNN based method for automatic mass detection and classification in mammograms. - Ayelet Akselrod-Ballin; Leonid Karlinsky; Sharon Alpert; Sharbell Y. Hasoul; Rami Ben-Ari; Ella Barkan (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019)

A dual branch deep neural network for classification and detection in mammograms. - Ran Bakalo; Jacob Goldberger; Rami Ben-Ari (CoRR, 2019)

Toward Self-Supervised Object Detection in Unlabeled Videos. - Elad Amrani; Rami Ben-Ari; Tal Hakim; Alex M. Bronstein (CoRR, 2019)

Self-Supervised Object Detection and Retrieval Using Unlabeled Videos. - Elad Amrani; Rami Ben-Ari; Inbar Shapira; Tal Hakim; Alex M. Bronstein (CVPR Workshops, 2020)

Learnable Optimal Sequential Grouping for Video Scene Detection. - Daniel Rotman; Yevgeny Yaroker; Elad Amrani; Udi Barzelay; Rami Ben-Ari (ACM Multimedia, 2020)

Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning. - Elad Amrani; Rami Ben-Ari; Daniel Rotman; Alex M. Bronstein (AAAI, 2021)

TAEN: Temporal Aware Embedding Network for Few-Shot Action Recognition. - Rami Ben-Ari; Mor Shpigel Nacson; Ophir Azulai; Udi Barzelay; Daniel Rotman (CVPR Workshops, 2021)

Weakly and semi supervised detection in medical imaging via deep dual branch net. - Ran Bakalo; Jacob Goldberger; Rami Ben-Ari (Neurocomputing, 2021)

Classification-Regression for Chart Comprehension. - Matan Levy; Rami Ben-Ari; Dani Lischinski (ECCV (36), 2022)

Chatting Makes Perfect: Chat-based Image Retrieval. - Matan Levy; Rami Ben-Ari; Nir Darshan; Dani Lischinski (NeurIPS, 2023)

Norm-guided latent space exploration for text-to-image generation. - Dvir Samuel; Rami Ben-Ari; Nir Darshan; Haggai Maron; Gal Chechik (NeurIPS, 2023)

Data Roaming and Early Fusion for Composed Image Retrieval. - Matan Levy; Rami Ben-Ari; Nir Darshan; Dani Lischinski (CoRR, 2023)

It is all about where you start: Text-to-image generation with seed selection. - Dvir Samuel; Rami Ben-Ari; Simon Raviv; Nir Darshan; Gal Chechik (CoRR, 2023)

Watch Your Pose: Unsupervised Domain Adaption with Pose based Triplet Selection for Gait Recognition. - Gavriel Habib; Noa Barzilay; Or Shimshi; Rami Ben-Ari; Nir Darshan (CoRR, 2023)

Advancing Image Retrieval with Few-Shot Learning and Relevance Feedback. - Boaz Lerner; Nir Darshan; Rami Ben-Ari (CoRR, 2023)

Fixed-point Inversion for Text-to-image diffusion models. - Barak Meiri; Dvir Samuel; Nir Darshan; Gal Chechik; Shai Avidan; Rami Ben-Ari (CoRR, 2023)

Data Roaming and Quality Assessment for Composed Image Retrieval. - Matan Levy; Rami Ben-Ari; Nir Darshan; Dani Lischinski (AAAI, 2024)

Generating Images of Rare Concepts Using Pre-trained Diffusion Models. - Dvir Samuel; Rami Ben-Ari; Simon Raviv; Nir Darshan; Gal Chechik (AAAI, 2024)

Where's Waldo: Diffusion Features For Personalized Segmentation and Retrieval. - Dvir Samuel; Rami Ben-Ari; Matan Levy; Nir Darshan; Gal Chechik (NeurIPS, 2024)

Watch Where You Head: A View-biased Domain Gap in Gait Recognition and Unsupervised Adaptation. - Gavriel Habib; Noa Barzilay; Or Shimshi; Rami Ben-Ari; Nir Darshan (WACV, 2024)

Unveiling the Power of Diffusion Features For Personalized Segmentation and Retrieval. - Dvir Samuel; Rami Ben-Ari; Matan Levy; Nir Darshan; Gal Chechik (CoRR, 2024)

Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models. - Dvir Samuel; Barak Meiri; Haggai Maron; Yoad Tewel; Nir Darshan; Shai Avidan; Gal Chechik; Rami Ben-Ari (ICLR, 2025)

EffoVPR: Effective Foundation Model Utilization for Visual Place Recognition. - Issar Tzachor; Boaz Lerner; Matan Levy; Michael Green; Tal Berkovitz Shalev; Gavriel Habib; Dvir Samuel; Noam Korngut Zailer; Or Shimshi; Nir Darshan; Rami Ben-Ari (ICLR, 2025)

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval. - Leah Bar; Boaz Lerner; Nir Darshan; Rami Ben-Ari (Trans. Mach. Learn. Res., 2025)

Task-Specific Adaptation with Restricted Model Access. - Matan Levy; Rami Ben-Ari; Dvir Samuel; Nir Darshan; Dani Lischinski (CoRR, 2025)

CarGait: Cross-Attention based Re-ranking for Gait recognition. - Gavriel Habib; Noa Barzilay; Or Shimshi; Rami Ben-Ari; Nir Darshan (CoRR, 2025)

Find your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization. - Michael Green; Matan Levy; Issar Tzachor; Dvir Samuel; Nir Darshan; Rami Ben-Ari (CoRR, 2025)

OmnimatteZero: Training-free Real-time Omnimatte with Pre-trained Video Diffusion Models. - Dvir Samuel; Matan Levy; Nir Darshan; Gal Chechik; Rami Ben-Ari (CoRR, 2025)