← Authors

Leonid Karlinsky

53 papers · 2010–2025 · 10 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (10) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (11) πŸƒ Academic Marathon (15) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (3) 🧬 Topic Evolution πŸ”¬ Deep Specialist (15) πŸ† Keyword Champion (2) 🀝 Dynamic Duo (37) πŸ—ƒοΈ Keyword Collector (183) ❓ The Questioner πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (9) ⚑ Prolific Year (6) πŸ’Ž Century Club (53)

Conferences

NIPS (13) CVPR (11) ICCV (7) ICLR (7) ECCV (6) INTERSPEECH (3) ACL (2) EMNLP (2) AAAI (1) WACV (1)

Top co-authors

Rogerio Feris (37) Rameswar Panda (18) Assaf Arbelle (15) Hilde Kuehne (12) Raja Giryes (12) Eli Schwartz (11) Sivan Doveh (10) Roei Herzig (10) Kate Saenko (9) Sivan Harary (8)

Keywords

few-shot learning (9) transfer learning (9) vision language model (6) self-supervised learning (6) vision-language model (6) zero-shot learning (6) synthetic datum (5) action recognition (4) multimodal learning (4) contrastive learning (4) compositional reasoning (3) weakly supervised learning (3) large language model (3) domain adaptation (3) representation learning (3) domain generalization (2) image classification (2) one-shot learning (2) vision transformer (2) object recognition (2)

Papers

REAL-MM-RAG: A Real-World Multi-Modal Retrieval Benchmark ACL 2025
LiveXiv - A Multi-Modal live benchmark based on Arxiv papers content ICLR 2025
Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts ICLR 2025
Teaching VLMs to Localize Specific Objects from In-context Examples ICCV 2025
Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features ICCV 2025
BATCLIP: Bimodal Online Test-Time Adaptation for CLIP ICCV 2025
Sample- and Parameter-Efficient Auto-Regressive Image Models CVPR 2025
CAV-MAE Sync: Improving Contrastive Audio-Visual Mask Autoencoders via Fine-Grained Alignment CVPR 2025
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers Using Synthetic Scene Data WACV 2024
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning NIPS 2024
ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs NIPS 2024
$\textit{Trans-LoRA}$: towards data-free Transferable Parameter Efficient Finetuning NIPS 2024
Self-Specialization: Uncovering Latent Expertise within Large Language Models ACL 2024
Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs ECCV 2024
NumeroLogic: Number Encoding for Enhanced LLMs’ Numerical Reasoning EMNLP 2024
Listen, Think, and Understand ICLR 2024
Whisper-Flamingo: Integrating Visual Features into Whisper for Audio-Visual Speech Recognition and Translation INTERSPEECH 2024
Learning to Grow Pretrained Models for Efficient Transformer Training ICLR 2023
CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning CVPR 2023
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning CVPR 2023
Teaching Structured Vision & Language Concepts to Vision & Language Models CVPR 2023
LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections NIPS 2023
Comparison of Multilingual Self-Supervised and Weakly-Supervised Speech Pre-Training for Adaptation to Unseen Languages INTERSPEECH 2023
Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs EMNLP 2023
Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong General Audio Event Taggers INTERSPEECH 2023
Going Beyond Nouns With Vision & Language Models Using Synthetic Data ICCV 2023
MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge ICCV 2023
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning ICLR 2023
Contrastive Audio-Visual Masked Autoencoder ICLR 2023
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models NIPS 2023
Learning Human Action Recognition Representations Without Real Humans NIPS 2023
Unsupervised Domain Generalization by Learning a Bridge Across Domains CVPR 2022
Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens NIPS 2022
Self-Supervised Classification Network ECCV 2022
FETA: Towards Specializing Foundational Models for Expert Task Applications NIPS 2022
Task2Sim: Towards Effective Pre-Training and Transfer From Synthetic Data CVPR 2022
How Transferable are Video Representations Based on Synthetic Data? NIPS 2022
A Broad Study on the Transferability of Visual Representations With Contrastive Learning ICCV 2021
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition ICLR 2021
StarNet: towards Weakly Supervised Few-Shot Object Detection AAAI 2021
Fine-Grained Angular Contrastive Learning With Coarse Labels CVPR 2021
Detector-Free Weakly Supervised Grounding by Separation ICCV 2021
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data NIPS 2021
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition ECCV 2020
OnlineAugment: Online Data Augmentation with Less Domain Knowledge ECCV 2020
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification ECCV 2020
A Broader Study of Cross-Domain Few-Shot Learning ECCV 2020
RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection CVPR 2019
LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning CVPR 2019
Co-regularized Alignment for Unsupervised Domain Adaptation NIPS 2018
Delta-encoder: an effective sample synthesis method for few-shot object recognition NIPS 2018
Fine-Grained Recognition of Thousands of Object Categories With Single-Example Training CVPR 2017
Using body-anchored priors for identifying actions in single images NIPS 2010