Assaf Arbelle - RankMe

50 papers A* 12A 2Journal 32Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Activation Reward Models for Few-Shot Model Alignment. CoRR Tianning Chai, Chancharik Mitra, Brandon Huang, Gautam Rajendrakumar Gare, Zhiqiu Lin, Assaf Arbelle, Leonid Karlinsky, Rogério Feris, Trevor Darrell, Deva Ramanan, Roei Herzig
2025	J	`jnl`	ChartGen: Scaling Chart Understanding Via Code-Guided Synthetic Chart Generation. CoRR Jovana Kondic, Pengyuan Li, Dhiraj Joshi, Zexue He, Shafiq Abedin, Jennifer Sun, Ben Wiesel, Eli Schwartz, Ahmed Nassar, Bo Wu, Assaf Arbelle, Aude Oliva, Dan Gutfreund, Leonid Karlinsky, Rogério Feris
2025	J	`jnl`	Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence. CoRR Leonid Karlinsky, Assaf Arbelle, Abraham Daniels, Ahmed Nassar, Amit Alfassi, Bo Wu, Eli Schwartz, Dhiraj Joshi, Jovana Kondic, Nimrod Shabtay, Pengyuan Li, Roei Herzig, Shafiq Abedin, Shaked Perek, Sivan Harary, Udi Barzelay, Adi Raz Goldfarb, Aude Oliva, Ben Wieles, Bishwaranjan Bhattacharjee, Brandon Huang, Christoph Auer, Dan Gutfreund, David Beymer, David Wood, Hilde Kuehne, Jacob A. Hansen, Joseph Shtok, Ken Wong, Luis Angel D. Bathen, Mayank Mishra, Maksym Lysak, Michele Dolfi, Mikhail Yurochkin, Nikolaos Livathinos, Nimrod Harel, Ophir Azulai, Oshri Naparstek, Rafael Teixeira de Lima, Rameswar Panda, Sivan Doveh, Shubham Gupta, Subhro Das, Syed Zawad, Yusik Kim, Zexue He, Alexander Brooks, Gabe Goodhart, Anita Govindjee, Derek Leist, Ibrahim Ibrahim, Aya Soffer, David D. Cox, Kate Soule, Luis A. Lastras, Nirmit Desai, Shila Ofek-Koifman, Sriram Raghavan, Tanveer F. Syeda-Mahmood, Peter W. J. Staar, Tal Drory, Rogério Feris
2025	A*	`conf`	LiveXiv - A Multi-Modal live benchmark based on Arxiv papers content. ICLR Nimrod Shabtay, Felipe Maia Polo, Sivan Doveh, Wei Lin, Muhammad Jehanzeb Mirza, Leshem Choshen, Mikhail Yurochkin, Yuekai Sun, Assaf Arbelle, Leonid Karlinsky, Raja Giryes
2025	A	`conf`	Spoken Question Answering for Visual Queries. INTERSPEECH Nimrod Shabtay, Zvi Kons, Avihu Dekel, Hagai Aronowitz, Ron Hoory, Assaf Arbelle
2025	J	`jnl`	Spoken question answering for visual queries. CoRR Nimrod Shabtay, Zvi Kons, Avihu Dekel, Hagai Aronowitz, Ron Hoory, Assaf Arbelle
2024	J	`jnl`	Augmenting In-Context-Learning in LLMs via Automatic Data Labeling and Refinement. CoRR Joseph Shtok, Amit Alfassy, Foad Abo Dahood, Eliyahu Schwartz, Sivan Doveh, Assaf Arbelle
2024	A*	`conf`	ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs. NeurIPS Irene Huang, Wei Lin, Muhammad Jehanzeb Mirza, Jacob A. Hansen, Sivan Doveh, Victor Butoi, Roei Herzig, Assaf Arbelle, Hilde Kuehne, Trevor Darrell, Chuang Gan, Aude Oliva, Rogério Feris, Leonid Karlinsky
2024	J	`jnl`	ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs. CoRR Irene Huang, Wei Lin, Muhammad Jehanzeb Mirza, Jacob A. Hansen, Sivan Doveh, Victor Ion Butoi, Roei Herzig, Assaf Arbelle, Hilde Kuehne, Trevor Darrell, Chuang Gan, Aude Oliva, Rogério Feris, Leonid Karlinsky
2024	J	`jnl`	LiveXiv - A Multi-Modal Live Benchmark Based on Arxiv Papers Content. CoRR Nimrod Shabtay, Felipe Maia Polo, Sivan Doveh, Wei Lin, Muhammad Jehanzeb Mirza, Leshem Choshen, Mikhail Yurochkin, Yuekai Sun, Assaf Arbelle, Leonid Karlinsky, Raja Giryes
2024	J	`jnl`	MAEDAY: MAE for few- and zero-shot AnomalY-Detection. Comput. Vis. Image Underst. Eli Schwartz, Assaf Arbelle, Leonid Karlinsky, Sivan Harary, Florian Scheidegger, Sivan Doveh, Raja Giryes
2024	A*	`conf`	Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning. NeurIPS Brandon Huang, Chancharik Mitra, Leonid Karlinsky, Assaf Arbelle, Trevor Darrell, Roei Herzig
2024	J	`jnl`	Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning. CoRR Brandon Huang, Chancharik Mitra, Assaf Arbelle, Leonid Karlinsky, Trevor Darrell, Roei Herzig
2024	A*	`conf`	NumeroLogic: Number Encoding for Enhanced LLMs' Numerical Reasoning. EMNLP Eli Schwartz, Leshem Choshen, Joseph Shtok, Sivan Doveh, Leonid Karlinsky, Assaf Arbelle
2024	J	`jnl`	NumeroLogic: Number Encoding for Enhanced LLMs' Numerical Reasoning. CoRR Eli Schwartz, Leshem Choshen, Joseph Shtok, Sivan Doveh, Leonid Karlinsky, Assaf Arbelle
2024	A	`conf`	PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data. WACV Roei Herzig, Ofir Abramovich, Elad Ben-Avraham, Assaf Arbelle, Leonid Karlinsky, Ariel Shamir, Trevor Darrell, Amir Globerson
2024	J	`jnl`	Sparse Attention Vectors: Generative Multimodal Model Features Are Discriminative Vision-Language Classifiers. CoRR Chancharik Mitra, Brandon Huang, Tianning Chai, Zhiqiu Lin, Assaf Arbelle, Rogério Feris, Leonid Karlinsky, Trevor Darrell, Deva Ramanan, Roei Herzig
2024	J	`jnl`	Teaching VLMs to Localize Specific Objects from In-context Examples. CoRR Sivan Doveh, Nimrod Shabtay, Wei Lin, Eli Schwartz, Hilde Kuehne, Raja Giryes, Rogério Feris, Leonid Karlinsky, James R. Glass, Assaf Arbelle, Shimon Ullman, Muhammad Jehanzeb Mirza
2024	J	`jnl`	Towards Multimodal In-Context Learning for Vision & Language Models. CoRR Sivan Doveh, Shaked Perek, Muhammad Jehanzeb Mirza, Amit Alfassy, Assaf Arbelle, Shimon Ullman, Leonid Karlinsky
2024	—	`conf`	Towards Multimodal In-context Learning for Vision and Language Models. ECCV Workshops (19) Sivan Doveh, Shaked Perek, Muhammad Jehanzeb Mirza, Wei Lin, Amit Alfassy, Assaf Arbelle, Shimon Ullman, Leonid Karlinsky
2023	A*	`conf`	CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning. CVPR James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogério Feris, Zsolt Kira
2023	A*	`conf`	ConStruct-VL: Data-Free Continual Structured VL Concepts Learning. CVPR James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David D. Cox, Diyi Yang, Zsolt Kira, Rogério Feris, Leonid Karlinsky
2023	A*	`conf`	Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models. NeurIPS Sivan Doveh, Assaf Arbelle, Sivan Harary, Roei Herzig, Donghyun Kim, Paola Cascante-Bonilla, Amit Alfassy, Rameswar Panda, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky
2023	J	`jnl`	Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models. CoRR Sivan Doveh, Assaf Arbelle, Sivan Harary, Roei Herzig, Donghyun Kim, Paola Cascante-Bonilla, Amit Alfassy, Rameswar Panda, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky
2023	J	`jnl`	Differentiable Histogram Loss Functions for Intensity-based Image-to-Image Translation. IEEE Trans. Pattern Anal. Mach. Intell. Mor Avi-Aharon, Assaf Arbelle, Tammy Riklin Raviv
2023	A*	`conf`	Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs. EMNLP Roei Herzig, Alon Mendelson, Leonid Karlinsky, Assaf Arbelle, Rogério Feris, Trevor Darrell, Amir Globerson
2023	J	`jnl`	Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs. CoRR Roei Herzig, Alon Mendelson, Leonid Karlinsky, Assaf Arbelle, Rogério Feris, Trevor Darrell, Amir Globerson
2023	A*	`conf`	Teaching Structured Vision & Language Concepts to Vision & Language Models. CVPR Sivan Doveh, Assaf Arbelle, Sivan Harary, Eli Schwartz, Roei Herzig, Raja Giryes, Rogério Feris, Rameswar Panda, Shimon Ullman, Leonid Karlinsky
2022	J	`jnl`	CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning. CoRR James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogério Feris, Zsolt Kira
2022	J	`jnl`	ConStruct-VL: Data-Free Continual Structured VL Concepts Learning. CoRR James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David D. Cox, Diyi Yang, Zsolt Kira, Rogério Feris, Leonid Karlinsky
2022	J	`jnl`	Dual-Task ConvLSTM-UNet for Instance Segmentation of Weakly Annotated Microscopy Videos. IEEE Trans. Medical Imaging Assaf Arbelle, Shaked Cohen, Tammy Riklin Raviv
2022	J	`jnl`	FETA: Towards Specializing Foundation Models for Expert Task Applications. CoRR 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	A*	`conf`	FETA: Towards Specializing Foundational Models for Expert Task Applications. NeurIPS Amit Alfassy, Assaf Arbelle, Oshri Halimi, Sivan Harary, Roei Herzig, Eli Schwartz, Rameswar Panda, Michele Dolfi, Christoph Auer, Peter W. J. Staar, Kate Saenko, Rogério Feris, Leonid Karlinsky
2022	J	`jnl`	MAEDAY: MAE for few and zero shot AnomalY-Detection. CoRR Eli Schwartz, Assaf Arbelle, Leonid Karlinsky, Sivan Harary, Florian Scheidegger, Sivan Doveh, Raja Giryes
2022	J	`jnl`	PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data. CoRR Roei Herzig, Ofir Abramovich, Elad Ben-Avraham, Assaf Arbelle, Leonid Karlinsky, Ariel Shamir, Trevor Darrell, Amir Globerson
2022	J	`jnl`	Teaching Structured Vision&Language Concepts to Vision&Language Models. CoRR Sivan Doveh, Assaf Arbelle, Sivan Harary, Rameswar Panda, Roei Herzig, Eli Schwartz, Donghyun Kim, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky
2022	A*	`conf`	Unsupervised Domain Generalization by Learning a Bridge Across Domains. CVPR 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	J	`jnl`	CHARTER: heatmap-based multi-type chart data extraction. CoRR Joseph Shtok, Sivan Harary, Ophir Azulai, Adi Raz Goldfarb, Assaf Arbelle, Leonid Karlinsky
2021	A*	`conf`	Detector-Free Weakly Supervised Grounding by Separation. ICCV Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky
2021	J	`jnl`	Detector-Free Weakly Supervised Grounding by Separation. CoRR Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky
2021	J	`jnl`	Unsupervised Domain Generalization by Learning a Bridge Across Domains. CoRR 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
2020	J	`jnl`	DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation. CoRR Mor Avi-Aharon, Assaf Arbelle, Tammy Riklin Raviv
2019	J	`jnl`	Hue-Net: Intensity-based Image-to-Image Translation with Differentiable Histogram Loss Functions. CoRR Mor Avi-Aharon, Assaf Arbelle, Tammy Riklin Raviv
2019	—	`conf`	Microscopy Cell Segmentation Via Convolutional LSTM Networks. ISBI Assaf Arbelle, Tammy Riklin Raviv
2019	J	`jnl`	QANet - Quality Assurance Network for Microscopy Cell Segmentation. CoRR Assaf Arbelle, Eliav Elul, Tammy Riklin Raviv
2018	J	`jnl`	A probabilistic approach to joint cell tracking and segmentation in high-throughput microscopy videos. Medical Image Anal. Assaf Arbelle, José Reyes, Jia-Yun Chen, Galit Lahav, Tammy Riklin Raviv
2018	J	`jnl`	Microscopy Cell Segmentation via Convolutional LSTM Networks. CoRR Assaf Arbelle, Tammy Riklin Raviv
2018	—	`conf`	Microscopy cell segmentation via adversarial neural networks. ISBI Assaf Arbelle, Tammy Riklin Raviv
2017	J	`jnl`	Microscopy Cell Segmentation via Adversarial Neural Networks. CoRR Assaf Arbelle, Tammy Riklin Raviv
2015	—	`conf`	Analysis of High-throughput Microscopy Videos: Catching Up with Cell Dynamics. MICCAI (3) Assaf Arbelle, N. Drayman, Mark-Anthony Bray, Uri Alon, Anne E. Carpenter, Tammy Riklin Raviv