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20192025
most citedEmbedding Expansion: Augmentation in Embedding Space for Deep Metric Learning

7 citations · 24 across the 7 of their papers we have counts for

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13 papers · 1 filter

cs.CV2025

MultiVerse: A Multi-Turn Conversation Benchmark for Evaluating Large Vision and Language Models

Young-Jun Lee, Byung-Kwan Lee, Jianshu Zhang +9

Vision-and-Language Models (VLMs) have shown impressive capabilities on single-turn benchmarks, yet real-world applications often demand more intricate multi-turn dialogues. Existi…

cs.CV2024

Intriguing Properties of Large Language and Vision Models

Young-Jun Lee, Byungsoo Ko, Han-Gyu Kim +2

Recently, large language and vision models (LLVMs) have received significant attention and development efforts due to their remarkable generalization performance across a wide rang…

cs.CV20225 cited

Group Generalized Mean Pooling for Vision Transformer

Byungsoo Ko, Han-Gyu Kim, Byeongho Heo +4

Vision Transformer (ViT) extracts the final representation from either class token or an average of all patch tokens, following the architecture of Transformer in Natural Language…

cs.CV2022

Granularity-aware Adaptation for Image Retrieval over Multiple Tasks

Jon Almazán, Byungsoo Ko, Geonmo Gu +2

Strong image search models can be learned for a specific domain, ie. set of labels, provided that some labeled images of that domain are available. A practical visual search model,…

cs.CV20226 cited

Large-scale Bilingual Language-Image Contrastive Learning

Byungsoo Ko, Geonmo Gu

This paper is a technical report to share our experience and findings building a Korean and English bilingual multimodal model. While many of the multimodal datasets focus on Engli…

cs.CV2021

RTIC: Residual Learning for Text and Image Composition using Graph Convolutional Network

Minchul Shin, Yoonjae Cho, Byungsoo Ko +1

In this paper, we study the compositional learning of images and texts for image retrieval. The query is given in the form of an image and text that describes the desired modificat…