Rami Ben-Ari

According to our database, Rami Ben-Ari authored at least 46 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

CoRR, 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

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Generating Images of Rare Concepts Using Pre-trained Diffusion Models.

Dvir Samuel, Rami Ben-Ari, Simon Raviv, Nir Darshan, Gal Chechik

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Data Roaming and Quality Assessment for Composed Image Retrieval.

Matan Levy, Rami Ben-Ari, Nir Darshan, Dani Lischinski

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

Advancing Image Retrieval with Few-Shot Learning and Relevance Feedback.

Boaz Lerner, Nir Darshan, Rami Ben-Ari

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

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

Data Roaming and Early Fusion for Composed Image Retrieval.

Matan Levy, Rami Ben-Ari, Nir Darshan, Dani Lischinski

CoRR, 2023

Norm-guided latent space exploration for text-to-image generation.

Dvir Samuel, Rami Ben-Ari, Nir Darshan, Haggai Maron, Gal Chechik

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Chatting Makes Perfect: Chat-based Image Retrieval.

Matan Levy, Rami Ben-Ari, Nir Darshan, Dani Lischinski

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Classification-Regression for Chart Comprehension.

Matan Levy, Rami Ben-Ari, Dani Lischinski

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Weakly and semi supervised detection in medical imaging via deep dual branch net.

Ran Bakalo, Jacob Goldberger, Rami Ben-Ari

Neurocomputing, 2021

TAEN: Temporal Aware Embedding Network for Few-Shot Action Recognition.

Rami Ben-Ari, Mor Shpigel Nacson, Ophir Azulai, Udi Barzelay, Daniel Rotman

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning.

Elad Amrani, Rami Ben-Ari, Daniel Rotman, Alex M. Bronstein

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learnable Optimal Sequential Grouping for Video Scene Detection.

Daniel Rotman, Yevgeny Yaroker, Elad Amrani, Udi Barzelay, Rami Ben-Ari

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Self-Supervised Object Detection and Retrieval Using Unlabeled Videos.

Elad Amrani, Rami Ben-Ari, Inbar Shapira, Tal Hakim, Alex M. Bronstein

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Toward Self-Supervised Object Detection in Unlabeled Videos.

Elad Amrani, Rami Ben-Ari, Tal Hakim, Alex M. Bronstein

CoRR, 2019

A dual branch deep neural network for classification and detection in mammograms.

Ran Bakalo, Jacob Goldberger, Rami Ben-Ari

CoRR, 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

Classification and Detection in Mammograms With Weak Supervision Via Dual Branch Deep Neural Net.

Ran Bakalo, Rami Ben-Ari, Jacob Goldberger

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Learning to Detect and Retrieve Objects From Unlabeled Videos.

Elad Amrani, Rami Ben-Ari, Tal Hakim, Alex M. Bronstein

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Mammogram Classification with Ordered Loss.

Rami Ben-Ari, Yoel Shoshan, Tal Tlusty

Proceedings of the Artificial Intelligence in Medicine, 2019

2018

Unsupervised clustering of mammograms for outlier detection and breast density estimation.

Tal Tlusty, Guy Amit, Rami Ben-Ari

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Maximizing AUC with Deep Learning for Classification of Imbalanced Mammogram Datasets.

Jeremias Sulam, Rami Ben-Ari, Pavel Kisilev

Proceedings of the VCBM 17: Eurographics Workshop on Visual Computing for Biology and Medicine, 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

Proceedings of the VCBM 17: Eurographics Workshop on Visual Computing for Biology and Medicine, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 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

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Classification of breast lesions using cross-modal deep learning.

Omer Hadad, Ran Bakalo, Rami Ben-Ari, Sharbell Y. Hashoul, Guy Amit

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Domain specific convolutional neural nets for detection of architectural distortion in mammograms.

Rami Ben-Ari, Ayelet Akselrod-Ballin, Leonid Karlinsky, Sharbell Y. Hashoul

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

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

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

Proceedings of the Deep Learning and Data Labeling for Medical Applications, 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, Mohammadreza Negahdar, Yu Cao, Tyler Baldwin, Yufan Guo, Yaniv Gur, Deepta Rajan, Aviad Zlotnick, Simona Rabinovici-Cohen, Rami Ben-Ari, Guy Amit, Prasanth Prasanna, J. Morey, Orest B. Boyko, Sharbell Y. Hashoul

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

A weakly labeled approach for breast tissue segmentation and breast density estimation in digital mammography.

Rami Ben-Ari, Aviad Zlotnick, Sharbell Y. Hashoul

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

Shape from Focus with Adaptive Focus Measure and High Order Derivatives.

Yuval Frommer, Rami Ben-Ari, Nahum Kiryati

Proceedings of the British Machine Vision Conference 2015, 2015

2014

A Unified Approach for Registration and Depth in Depth from Defocus.

Rami Ben-Ari

IEEE Trans. Pattern Anal. Mach. Intell., 2014

2011

Image De-noising by Bayesian Regression.

Shimon Cohen, Rami Ben-Ari

Proceedings of the Image Analysis and Processing - ICIAP 2011, 2011

Variational Depth from Defocus in real-time.

Rami Ben-Ari, Gonen Raveh

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

2010

Stereo Matching with Mumford-Shah Regularization and Occlusion Handling.

Rami Ben-Ari, Nir A. Sochen

IEEE Trans. Pattern Anal. Mach. Intell., 2010

2009

A Geometric Framework and a New Criterion in Optical Flow Modeling.

Rami Ben-Ari, Nir A. Sochen

J. Math. Imaging Vis., 2009

2008

A Geometric Approach for Regularization of the Data Term in Stereo-Vision.

Rami Ben-Ari, Nir A. Sochen

J. Math. Imaging Vis., 2008

Geodesic Active Contours with Combined Shape and Appearance Priors.

Rami Ben-Ari, Dror Aiger

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2008

2007

Variational Stereo Vision with Sharp Discontinuities and Occlusion Handling.

Rami Ben-Ari, Nir A. Sochen

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2006

A General Framework and New Alignment Criterion for Dense Optical Flow.

Rami Ben-Ari, Nir A. Sochen

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2004

Non-Isotropic Regularization of the Correspondence Space in Stereo-Vision.

Rami Ben-Ari, Nir A. Sochen

Proceedings of the 17th International Conference on Pattern Recognition, 2004