Sivan Harary

Researcher, IBM

Joined

February 2019

Names

Sivan Harary

Emails

****@il.ibm.com (Confirmed)

,

****@gmail.com (Confirmed)

Personal Links

Career & Education History

Researcher

IBM (il.ibm.com)

2010 – Present

Advisors, Relations & Conflicts

Coauthor

Present

Coauthor

2026 – Present

Coauthor

2025 – Present

Coauthor

2025 – Present

Coauthor

2022 – Present

Coauthor

2015 – Present

Coauthor

2015 – 2025

Coauthor

2015 – 2015

Coauthor

2014 – 2014

Coauthor

2014 – 2014

Coauthor

Sharath Pankanti

2014 – 2014

Coauthor

2014 – 2014

Expertise

vision-language models

2023 – Present

computer vision

2010 – Present

few shot learning

2018 – 2024

anomaly detection

2021 – 2023

domain adaptation/generalization

2019 – 2021

contrastive learning

2019 – 2021

object detection

2016 – 2019

Publications

Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models
Sivan Doveh, Assaf Arbelle, Sivan Harary, Roei Herzig, Donghyun Kim, Paola Cascante-Bonilla, Amit Alfassy, Rameswar Panda, Raja Giryes, Rogerio Feris, Shimon Ullman, Leonid Karlinsky
- NeurIPS 2023 spotlight
- Readers: Everyone
FETA: Towards Specializing Foundational Models for Expert Task Applications
Amit Alfassy, Assaf Arbelle, Oshri Halimi, Sivan Harary, Roei Herzig, Eli Schwartz, Rameswar Panda, Michele Dolfi, Christoph Auer, Peter W. J. Staar, Kate Saenko, Rogerio Feris, Leonid Karlinsky
- Published: 17 Sept 2022, Last Modified: 23 May 2023
- NeurIPS 2022 Datasets and Benchmarks
- Readers: Everyone
Unsupervised Domain Generalization by Learning a Bridge Across Domains
Sivan Harary, Eli Schwartz, Assaf Arbelle, Peter W. J. Staar, Shady Abu Hussein, Elad Amrani, Roei Herzig, Amit Alfassy, Raja Giryes, Hilde Kuehne, Dina Katabi, Kate Saenko, Rogério Feris, Leonid Karlinsky
- 2022 (modified: 16 Nov 2022)
- CVPR 2022
- Readers: Everyone
FETA: Towards Specializing Foundation Models for Expert Task Applications
Amit Alfassy, Assaf Arbelle, Oshri Halimi, Sivan Harary, Roei Herzig, Eli Schwartz, Rameswar Panda, Michele Dolfi, Christoph Auer, Kate Saenko, Peter W. J. Staar, Rogério Feris, Leonid Karlinsky
- 2022 (modified: 16 Nov 2022)
- CoRR 2022
- Readers: Everyone
StarNet: towards Weakly Supervised Few-Shot Object Detection
Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogério Feris, Alex M. Bronstein, Raja Giryes
- 2021 (modified: 16 Nov 2022)
- AAAI 2021
- Readers: Everyone
Unsupervised Domain Generalization by Learning a Bridge Across Domains
Sivan Harary, Eli Schwartz, Assaf Arbelle, Peter W. J. Staar, Shady Abu Hussein, Elad Amrani, Roei Herzig, Amit Alfassy, Raja Giryes, Hilde Kuehne, Dina Katabi, Kate Saenko, Rogério Feris, Leonid Karlinsky
- 2021 (modified: 16 Nov 2022)
- CoRR 2021
- Readers: Everyone
CHARTER: heatmap-based multi-type chart data extraction
Joseph Shtok, Sivan Harary, Ophir Azulai, Adi Raz Goldfarb, Assaf Arbelle, Leonid Karlinsky
- 2021 (modified: 16 Nov 2022)
- CoRR 2021
- Readers: Everyone
StarNet: towards weakly supervised few-shot detection and explainable few-shot classification
Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogério Schmidt Feris, Alexander M. Bronstein, Raja Giryes
- 2020 (modified: 16 Nov 2022)
- CoRR 2020
- Readers: Everyone
LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning
Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein
- 2019 (modified: 16 Nov 2022)
- CVPR 2019
- Readers: Everyone
RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection
Leonid Karlinsky, Joseph Shtok, Sivan Harary, Eli Schwartz, Amit Aides, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein
- 2019 (modified: 16 Nov 2022)
- CVPR 2019
- Readers: Everyone

View all 20 publications

Co-Authors

View all 52 co-authors