Rami Ben-Ari - RankMe

68 papers A* 11A 2B 3Journal 34Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fast Autoregressive Video Diffusion and World Models with Temporal Cache Compression and Sparse Attention. CoRR Dvir Samuel, Issar Tzachor, Matan Levy, Micahel Green, Gal Chechik, Rami Ben-Ari
2026	J	`jnl`	Retrieval-Augmented Gaussian Avatars: Improving Expression Generalization. CoRR Matan Levy, Gavriel Habib, Issar Tzachor, Dvir Samuel, Rami Ben-Ari, Nir Darshan, Or Litany, Dani Lischinski
2026	J	`jnl`	SSNAPS: Audio-Visual Separation of Speech and Background Noise with Diffusion Inverse Sampling. CoRR Yochai Yemini, Yoav Ellinson, Rami Ben-Ari, Sharon Gannot, Ethan Fetaya
2026	J	`jnl`	VidVec: Unlocking Video MLLM Embeddings for Video-Text Retrieval. CoRR Issar Tzachor, Dvir Samuel, Rami Ben-Ari
2025	J	`jnl`	Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval. Trans. Mach. Learn. Res. Leah Bar, Boaz Lerner, Nir Darshan, Rami Ben-Ari
2025	J	`jnl`	CarGait: Cross-Attention based Re-ranking for Gait recognition. CoRR Gavriel Habib, Noa Barzilay, Or Shimshi, Rami Ben-Ari, Nir Darshan
2025	J	`jnl`	Diffusion-Based Unsupervised Audio-Visual Speech Separation in Noisy Environments with Noise Prior. CoRR Yochai Yemini, Rami Ben-Ari, Sharon Gannot, Ethan Fetaya
2025	A*	`conf`	EffoVPR: Effective Foundation Model Utilization for Visual Place Recognition. ICLR 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
2025	J	`jnl`	Find your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization. CoRR Michael Green, Matan Levy, Issar Tzachor, Dvir Samuel, Nir Darshan, Rami Ben-Ari
2025	A*	`conf`	Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models. ICLR Dvir Samuel, Barak Meiri, Haggai Maron, Yoad Tewel, Nir Darshan, Shai Avidan, Gal Chechik, Rami Ben-Ari
2025	A*	`conf`	OmnimatteZero: Fast Training-free Omnimatte with Pre-trained Video Diffusion Models. SIGGRAPH Asia Dvir Samuel, Matan Levy, Nir Darshan, Gal Chechik, Rami Ben-Ari
2025	J	`jnl`	OmnimatteZero: Training-free Real-time Omnimatte with Pre-trained Video Diffusion Models. CoRR Dvir Samuel, Matan Levy, Nir Darshan, Gal Chechik, Rami Ben-Ari
2025	J	`jnl`	Task-Specific Adaptation with Restricted Model Access. CoRR Matan Levy, Rami Ben-Ari, Dvir Samuel, Nir Darshan, Dani Lischinski
2024	J	`jnl`	Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval. CoRR Leah Bar, Boaz Lerner, Nir Darshan, Rami Ben-Ari
2024	A*	`conf`	Data Roaming and Quality Assessment for Composed Image Retrieval. AAAI Matan Levy, Rami Ben-Ari, Nir Darshan, Dani Lischinski
2024	J	`jnl`	EffoVPR: Effective Foundation Model Utilization for Visual Place Recognition. CoRR 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
2024	A*	`conf`	Generating Images of Rare Concepts Using Pre-trained Diffusion Models. AAAI Dvir Samuel, Rami Ben-Ari, Simon Raviv, Nir Darshan, Gal Chechik
2024	J	`jnl`	Unveiling the Power of Diffusion Features For Personalized Segmentation and Retrieval. CoRR Dvir Samuel, Rami Ben-Ari, Matan Levy, Nir Darshan, Gal Chechik
2024	A	`conf`	Watch Where You Head: A View-biased Domain Gap in Gait Recognition and Unsupervised Adaptation. WACV Gavriel Habib, Noa Barzilay, Or Shimshi, Rami Ben-Ari, Nir Darshan
2024	A*	`conf`	Where's Waldo: Diffusion Features For Personalized Segmentation and Retrieval. NeurIPS Dvir Samuel, Rami Ben-Ari, Matan Levy, Nir Darshan, Gal Chechik
2023	J	`jnl`	Advancing Image Retrieval with Few-Shot Learning and Relevance Feedback. CoRR Boaz Lerner, Nir Darshan, Rami Ben-Ari
2023	J	`jnl`	Chatting Makes Perfect - Chat-based Image Retrieval. CoRR Matan Levy, Rami Ben-Ari, Nir Darshan, Dani Lischinski
2023	A*	`conf`	Chatting Makes Perfect: Chat-based Image Retrieval. NeurIPS Matan Levy, Rami Ben-Ari, Nir Darshan, Dani Lischinski
2023	J	`jnl`	Data Roaming and Early Fusion for Composed Image Retrieval. CoRR Matan Levy, Rami Ben-Ari, Nir Darshan, Dani Lischinski
2023	J	`jnl`	Fixed-point Inversion for Text-to-image diffusion models. CoRR Barak Meiri, Dvir Samuel, Nir Darshan, Gal Chechik, Shai Avidan, Rami Ben-Ari
2023	J	`jnl`	It is all about where you start: Text-to-image generation with seed selection. CoRR Dvir Samuel, Rami Ben-Ari, Simon Raviv, Nir Darshan, Gal Chechik
2023	A*	`conf`	Norm-guided latent space exploration for text-to-image generation. NeurIPS Dvir Samuel, Rami Ben-Ari, Nir Darshan, Haggai Maron, Gal Chechik
2023	J	`jnl`	Norm-guided latent space exploration for text-to-image generation. CoRR Dvir Samuel, Rami Ben-Ari, Nir Darshan, Haggai Maron, Gal Chechik
2023	J	`jnl`	Watch Your Pose: Unsupervised Domain Adaption with Pose based Triplet Selection for Gait Recognition. CoRR Gavriel Habib, Noa Barzilay, Or Shimshi, Rami Ben-Ari, Nir Darshan
2022	—	`conf`	Classification-Regression for Chart Comprehension. ECCV (36) Matan Levy, Rami Ben-Ari, Dani Lischinski
2022	J	`jnl`	Learnable Optimal Sequential Grouping for Video Scene Detection. CoRR Daniel Rotman, Yevgeny Yaroker, Elad Amrani, Udi Barzelay, Rami Ben-Ari
2021	J	`jnl`	Classification-Regression for Chart Comprehension. CoRR Matan Levy, Rami Ben-Ari, Dani Lischinski
2021	A*	`conf`	Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning. AAAI Elad Amrani, Rami Ben-Ari, Daniel Rotman, Alex M. Bronstein
2021	—	`conf`	TAEN: Temporal Aware Embedding Network for Few-Shot Action Recognition. CVPR Workshops Rami Ben-Ari, Mor Shpigel Nacson, Ophir Azulai, Udi Barzelay, Daniel Rotman
2021	J	`jnl`	Weakly and semi supervised detection in medical imaging via deep dual branch net. Neurocomputing Ran Bakalo, Jacob Goldberger, Rami Ben-Ari
2020	A*	`conf`	Learnable Optimal Sequential Grouping for Video Scene Detection. ACM Multimedia Daniel Rotman, Yevgeny Yaroker, Elad Amrani, Udi Barzelay, Rami Ben-Ari
2020	J	`jnl`	Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning. CoRR Elad Amrani, Rami Ben-Ari, Daniel Rotman, Alex M. Bronstein
2020	—	`conf`	Self-Supervised Object Detection and Retrieval Using Unlabeled Videos. CVPR Workshops Elad Amrani, Rami Ben-Ari, Inbar Shapira, Tal Hakim, Alex M. Bronstein
2020	J	`jnl`	TAEN: Temporal Aware Embedding Network for Few-Shot Action Recognition. CoRR Rami Ben-Ari, Mor Shpigel Nacson, Ophir Azulai, Udi Barzelay, Daniel Rotman
2019	J	`jnl`	A CNN based method for automatic mass detection and classification in mammograms. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Ayelet Akselrod-Ballin, Leonid Karlinsky, Sharon Alpert, Sharbell Y. Hasoul, Rami Ben-Ari, Ella Barkan
2019	J	`jnl`	A dual branch deep neural network for classification and detection in mammograms. CoRR Ran Bakalo, Jacob Goldberger, Rami Ben-Ari
2019	—	`conf`	Classification and Detection in Mammograms With Weak Supervision Via Dual Branch Deep Neural Net. ISBI Ran Bakalo, Rami Ben-Ari, Jacob Goldberger
2019	J	`jnl`	Classification and Detection in Mammograms with Weak Supervision via Dual Branch Deep Neural Net. CoRR Ran Bakalo, Rami Ben-Ari, Jacob Goldberger
2019	—	`conf`	Learning to Detect and Retrieve Objects From Unlabeled Videos. ICCV Workshops Elad Amrani, Rami Ben-Ari, Tal Hakim, Alex M. Bronstein
2019	B	`conf`	Mammogram Classification with Ordered Loss. AIME Rami Ben-Ari, Yoel Shoshan, Tal Tlusty
2019	J	`jnl`	Toward Self-Supervised Object Detection in Unlabeled Videos. CoRR Elad Amrani, Rami Ben-Ari, Tal Hakim, Alex M. Bronstein
2018	B	`conf`	Unsupervised clustering of mammograms for outlier detection and breast density estimation. ICPR Tal Tlusty, Guy Amit, Rami Ben-Ari
2017	—	`conf`	Classification of breast MRI lesions using small-size training sets: comparison of deep learning approaches. Computer-Aided Diagnosis Guy Amit, Rami Ben-Ari, Omer Hadad, Einat Monovich, Noa Granot, Sharbell Y. Hashoul
2017	—	`conf`	Classification of breast lesions using cross-modal deep learning. ISBI Omer Hadad, Ran Bakalo, Rami Ben-Ari, Sharbell Y. Hashoul, Guy Amit
2017	—	`conf`	Domain specific convolutional neural nets for detection of architectural distortion in mammograms. ISBI Rami Ben-Ari, Ayelet Akselrod-Ballin, Leonid Karlinsky, Sharbell Y. Hashoul
2017	—	`conf`	Hybrid Mass Detection in Breast MRI Combining Unsupervised Saliency Analysis and Deep Learning. MICCAI (3) Guy Amit, Omer Hadad, Sharon Alpert, Tal Tlusty, Yaniv Gur, Rami Ben-Ari, Sharbell Y. Hashoul
2017	—	`conf`	Mammogram Classification and Abnormality Detection from Nonlocal Labels using Deep Multiple Instance Neural Network. VCBM Yoni Choukroun, Ran Bakalo, Rami Ben-Ari, Ayelet Akselrod-Ballin, Ella Barkan, Pavel Kisilev
2017	—	`conf`	Maximizing AUC with Deep Learning for Classification of Imbalanced Mammogram Datasets. VCBM Jeremias Sulam, Rami Ben-Ari, Pavel Kisilev
2016	—	`conf`	A Region Based Convolutional Network for Tumor Detection and Classification in Breast Mammography. LABELS/DLMIA@MICCAI Ayelet Akselrod-Ballin, Leonid Karlinsky, Sharon Alpert, Sharbell Y. Hasoul, Rami Ben-Ari, Ella Barkan
2016	J	`jnl`	A computationally efficient tracker with direct appearance-kinematic measure and adaptive Kalman filter. J. Real Time Image Process. Rami Ben-Ari, Ohad Ben-Shahar
2016	—	`conf`	A weakly labeled approach for breast tissue segmentation and breast density estimation in digital mammography. ISBI Rami Ben-Ari, Aviad Zlotnick, Sharbell Y. Hashoul
2016	—	`conf`	Medical sieve: a cognitive assistant for radiologists and cardiologists. Computer-Aided Diagnosis 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
2015	A	`conf`	Shape from Focus with Adaptive Focus Measure and High Order Derivatives. BMVC Yuval Frommer, Rami Ben-Ari, Nahum Kiryati
2014	J	`jnl`	A Unified Approach for Registration and Depth in Depth from Defocus. IEEE Trans. Pattern Anal. Mach. Intell. Rami Ben-Ari
2011	—	`conf`	Image De-noising by Bayesian Regression. ICIAP (1) Shimon Cohen, Rami Ben-Ari
2011	—	`conf`	Variational Depth from Defocus in real-time. ICCV Workshops Rami Ben-Ari, Gonen Raveh
2010	J	`jnl`	Stereo Matching with Mumford-Shah Regularization and Occlusion Handling. IEEE Trans. Pattern Anal. Mach. Intell. Rami Ben-Ari, Nir A. Sochen
2009	J	`jnl`	A Geometric Framework and a New Criterion in Optical Flow Modeling. J. Math. Imaging Vis. Rami Ben-Ari, Nir A. Sochen
2008	J	`jnl`	A Geometric Approach for Regularization of the Data Term in Stereo-Vision. J. Math. Imaging Vis. Rami Ben-Ari, Nir A. Sochen
2008	B	`conf`	Geodesic Active Contours with Combined Shape and Appearance Priors. ACIVS Rami Ben-Ari, Dror Aiger
2007	A*	`conf`	Variational Stereo Vision with Sharp Discontinuities and Occlusion Handling. ICCV Rami Ben-Ari, Nir A. Sochen
2006	—	`conf`	A General Framework and New Alignment Criterion for Dense Optical Flow. CVPR (1) Rami Ben-Ari, Nir A. Sochen
2004	—	`conf`	Non-Isotropic Regularization of the Correspondence Space in Stereo-Vision. ICPR (4) Rami Ben-Ari, Nir A. Sochen

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.