Karlinsky, Leonid

64 publications

ICCV 2025 BATCLIP: Bimodal Online Test-Time Adaptation for CLIP Sarthak Maharana, Baoming Zhang, Leonid Karlinsky, Rogerio Feris, Yunhui Guo

CVPR 2025 CAV-MAE Sync: Improving Contrastive Audio-Visual Mask Autoencoders via Fine-Grained Alignment Edson Araujo, Andrew Rouditchenko, Yuan Gong, Saurabhchand Bhati, Samuel Thomas, Brian Kingsbury, Leonid Karlinsky, Rogerio Feris, James R. Glass, Hilde Kuehne

CVPRW 2025 Comparison Visual Instruction Tuning Wei Lin, Muhammad Jehanzeb Mirza, Sivan Doveh, Rogério Feris, Raja Giryes, Sepp Hochreiter, Leonid Karlinsky

ICCV 2025 Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Chancharik Mitra, Brandon Huang, Tianning Chai, Zhiqiu Lin, Assaf Arbelle, Rogerio Feris, Leonid Karlinsky, Trevor Darrell, Deva Ramanan, Roei Herzig

TMLR 2025 GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models Muhammad Jehanzeb Mirza, Mengjie Zhao, Zhuoyuan Mao, Sivan Doveh, Wei Lin, Paul Gavrikov, Michael Dorkenwald, Shiqi Yang, Saurav Jha, Hiromi Wakaki, Yuki Mitsufuji, Horst Possegger, Rogerio Feris, Leonid Karlinsky, James R. Glass

ICLR 2025 LiveXiv - A Multi-Modal Live Benchmark Based on arXiv Papers Content Nimrod Shabtay, Felipe Maia Polo, Sivan Doveh, Wei Lin, Muhammad Jehanzeb Mirza, Leshem Choshen, Mikhail Yurochkin, Yuekai Sun, Assaf Arbelle, Leonid Karlinsky, Raja Giryes

CVPR 2025 Sample- and Parameter-Efficient Auto-Regressive Image Models Elad Amrani, Leonid Karlinsky, Alex Bronstein

ICLR 2025 Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts Junmo Kang, Leonid Karlinsky, Hongyin Luo, Zhen Wang, Jacob A Hansen, James R. Glass, David Daniel Cox, Rameswar Panda, Rogerio Feris, Alan Ritter

ICCV 2025 Teaching VLMs to Localize Specific Objects from In-Context Examples Sivan Doveh, Nimrod Shabtay, Eli Schwartz, Hilde Kuehne, Raja Giryes, Rogerio Feris, Leonid Karlinsky, James Glass, Assaf Arbelle, Shimon Ullman, M. Jehanzeb Mirza

NeurIPS 2024 $\textit{Trans-LoRA}$: Towards Data-Free Transferable Parameter Efficient Finetuning Runqian Wang, Soumya Ghosh, David Cox, Diego Antognini, Aude Oliva, Rogerio Feris, Leonid Karlinsky

CVPRW 2024 Adaptive Memory Replay for Continual Learning James Seale Smith, Lazar Valkov, Shaunak Halbe, Vyshnavi Gutta, Rogério Feris, Zsolt Kira, Leonid Karlinsky

ICMLW 2024 CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory Zexue He, Leonid Karlinsky, Donghyun Kim, Julian McAuley, Dmitry Krotov, Rogerio Feris

NeurIPSW 2024 Comparison Visual Instruction Tuning Wei Lin, Muhammad Jehanzeb Mirza, Sivan Doveh, Rogerio Feris, Raja Giryes, Sepp Hochreiter, Leonid Karlinsky

NeurIPS 2024 ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs Irene Huang, Wei Lin, M. Jehanzeb Mirza, Jacob A. Hansen, Sivan Doveh, Victor Ion Butoi, Roei Herzig, Assaf Arbelle, Hilde Kuehne, Trevor Darrell, Chuang Gan, Aude Oliva, Rogerio Feris, Leonid Karlinsky

ICLR 2024 Listen, Think, and Understand Yuan Gong, Hongyin Luo, Alexander H. Liu, Leonid Karlinsky, James R. Glass

ICMLW 2024 Long Context Understanding Using Self-Generated Synthetic Data Jerry Li, Subhro Das, Aude Oliva, Dmitry Krotov, Leonid Karlinsky, Rogerio Feris

ECCV 2024 Meta-Prompting for Automating Zero-Shot Visual Recognition with LLMs Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Sivan Doveh, Jakub Micorek, Mateusz Kozinski, Hilde Kuehne, Horst Possegger

NeurIPS 2024 Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning Brandon Huang, Chancharik Mitra, Assaf Arbelle, Leonid Karlinsky, Trevor Darrell, Roei Herzig

WACV 2024 PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers Using Synthetic Scene Data Roei Herzig, Ofir Abramovich, Elad Ben Avraham, Assaf Arbelle, Leonid Karlinsky, Ariel Shamir, Trevor Darrell, Amir Globerson

ECCVW 2024 Towards Multimodal In-Context Learning for Vision and Language Models Sivan Doveh, Shaked Perek, Muhammad Jehanzeb Mirza, Wei Lin, Amit Alfassy, Assaf Arbelle, Shimon Ullman, Leonid Karlinsky

CVPR 2023 CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogerio Feris, Zsolt Kira

CVPR 2023 ConStruct-VL: Data-Free Continual Structured VL Concepts Learning James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David Cox, Diyi Yang, Zsolt Kira, Rogerio Feris, Leonid Karlinsky

ICLR 2023 Contrastive Audio-Visual Masked Autoencoder Yuan Gong, Andrew Rouditchenko, Alexander H. Liu, David Harwath, Leonid Karlinsky, Hilde Kuehne, James R. Glass

NeurIPS 2023 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

ICCV 2023 Going Beyond Nouns with Vision & Language Models Using Synthetic Data Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gul Varol, Aude Oliva, Vicente Ordonez, Rogerio Feris, Leonid Karlinsky

NeurIPS 2023 LaFTer: Label-Free Tuning of Zero-Shot Classifier Using Language and Unlabeled Image Collections Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Horst Possegger, Mateusz Kozinski, Rogerio Feris, Horst Bischof

NeurIPS 2023 Learning Human Action Recognition Representations Without Real Humans Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogerio Feris

ICLR 2023 Learning to Grow Pretrained Models for Efficient Transformer Training Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogerio Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim

ICCV 2023 MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogerio Feris, Hilde Kuehne, Horst Bischof

TMLR 2023 Mitigating Confirmation Bias in Semi-Supervised Learning via Efficient Bayesian Model Averaging Charlotte Loh, Rumen Dangovski, Shivchander Sudalairaj, Seungwook Han, Ligong Han, Leonid Karlinsky, Marin Soljacic, Akash Srivastava

ICLR 2023 Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogerio Feris, Huan Sun, Yoon Kim

CVPR 2023 Teaching Structured Vision & Language Concepts to Vision & Language Models Sivan Doveh, Assaf Arbelle, Sivan Harary, Eli Schwartz, Roei Herzig, Raja Giryes, Rogerio Feris, Rameswar Panda, Shimon Ullman, Leonid Karlinsky

NeurIPS 2022 Bringing Image Scene Structure to Video via Frame-CLIP Consistency of Object Tokens Elad Ben Avraham, Roei Herzig, Karttikeya Mangalam, Amir Bar, Anna Rohrbach, Leonid Karlinsky, Trevor Darrell, Amir Globerson

ECCVW 2022 Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part I Leonid Karlinsky, Tomer Michaeli, Ko Nishino

ECCVW 2022 Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part II Leonid Karlinsky, Tomer Michaeli, Ko Nishino

ECCVW 2022 Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part III Leonid Karlinsky, Tomer Michaeli, Ko Nishino

ECCVW 2022 Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part IV Leonid Karlinsky, Tomer Michaeli, Ko Nishino

ECCVW 2022 Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part V Leonid Karlinsky, Tomer Michaeli, Ko Nishino

ECCVW 2022 Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part VI Leonid Karlinsky, Tomer Michaeli, Ko Nishino

ECCVW 2022 Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part VII Leonid Karlinsky, Tomer Michaeli, Ko Nishino

ECCVW 2022 Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part VIII Leonid Karlinsky, Tomer Michaeli, Ko Nishino

NeurIPS 2022 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 Staar, Kate Saenko, Rogerio Feris, Leonid Karlinsky

NeurIPS 2022 How Transferable Are Video Representations Based on Synthetic Data? Yo-whan Kim, Samarth Mishra, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Kate Saenko, Aude Oliva, Rogerio Feris

ECCV 2022 Self-Supervised Classification Network Elad Amrani, Leonid Karlinsky, Alex Bronstein

CVPR 2022 Task2Sim: Towards Effective Pre-Training and Transfer from Synthetic Data Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogerio S. Feris

CVPR 2022 Unsupervised Domain Generalization by Learning a Bridge Across Domains Sivan Harary, Eli Schwartz, Assaf Arbelle, Peter Staar, Shady Abu-Hussein, Elad Amrani, Roei Herzig, Amit Alfassy, Raja Giryes, Hilde Kuehne, Dina Katabi, Kate Saenko, Rogerio S. Feris, Leonid Karlinsky

ICCV 2021 A Broad Study on the Transferability of Visual Representations with Contrastive Learning Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard Radke, Rogerio Feris

ICLR 2021 AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogerio Feris

ICCV 2021 Detector-Free Weakly Supervised Grounding by Separation 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 Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogerio Feris, Leonid Karlinsky

NeurIPS 2021 Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Rogerio Feris, Richard J. Radke

CVPR 2021 Fine-Grained Angular Contrastive Learning with Coarse Labels Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogerio Feris, Raja Giryes, Leonid Karlinsky

AAAI 2021 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

ECCV 2020 A Broader Study of Cross-Domain Few-Shot Learning Yunhui Guo, Noel C. Codella, Leonid Karlinsky, James V. Codella, John R. Smith, Kate Saenko, Tajana Rosing, Rogerio Feris

ECCV 2020 AR-Net: Adaptive Frame Resolution for Efficient Action Recognition Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogerio Feris

ECCV 2020 OnlineAugment: Online Data Augmentation with Less Domain Knowledge Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogerio Feris, Dimitris Metaxas

ECCV 2020 TAFSSL: Task-Adaptive Feature Sub-Space Learning for Few-Shot Classification Moshe Lichtenstein, Prasanna Sattigeri, Rogerio Feris, Raja Giryes, Leonid Karlinsky

NeurIPS 2018 Co-Regularized Alignment for Unsupervised Domain Adaptation Abhishek Kumar, Prasanna Sattigeri, Kahini Wadhawan, Leonid Karlinsky, Rogerio Feris, Bill Freeman, Gregory Wornell

NeurIPS 2018 Delta-Encoder: An Effective Sample Synthesis Method for Few-Shot Object Recognition Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Abhishek Kumar, Rogerio Feris, Raja Giryes, Alex Bronstein

CVPR 2017 Fine-Grained Recognition of Thousands of Object Categories with Single-Example Training Leonid Karlinsky, Joseph Shtok, Yochay Tzur, Asaf Tzadok

ECCV 2012 Using Linking Features in Learning Non-Parametric Part Models Leonid Karlinsky, Shimon Ullman

CVPR 2010 The Chains Model for Detecting Parts by Their Context Leonid Karlinsky, Michael Dinerstein, Daniel Harari, Shimon Ullman

NeurIPS 2010 Using Body-Anchored Priors for Identifying Actions in Single Images Leonid Karlinsky, Michael Dinerstein, Shimon Ullman

CVPR 2009 Unsupervised Feature Optimization (UFO): Simultaneous Selection of Multiple Features with Their Detection Parameters Leonid Karlinsky, Michael Dinerstein, Shimon Ullman

ECCV 2008 Unsupervised Classification and Part Localization by Consistency Amplification Leonid Karlinsky, Michael Dinerstein, Dan Levi, Shimon Ullman