540 citations · 651 across the 21 of their papers we have counts for
6 papers · 1 filter
Language-only Efficient Training of Zero-shot Composed Image Retrieval
Geonmo Gu, Sanghyuk Chun, Wonjae Kim +2
Composed image retrieval (CIR) task takes a composed query of image and text, aiming to search relative images for both conditions. Conventional CIR approaches need a training data…
Computational Approaches for App-to-App Retrieval and Design Consistency Check
Seokhyeon Park, Wonjae Kim, Young-Ho Kim +1
Extracting semantic representations from mobile user interfaces (UI) and using the representations for designers' decision-making processes have shown the potential to be effective…
What Do Self-Supervised Vision Transformers Learn?
Namuk Park, Wonjae Kim, Byeongho Heo +2
We present a comparative study on how and why contrastive learning (CL) and masked image modeling (MIM) differ in their representations and in their performance of downstream tasks…
CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion
Geonmo Gu, Sanghyuk Chun, Wonjae Kim +3
This paper proposes a novel diffusion-based model, CompoDiff, for solving zero-shot Composed Image Retrieval (ZS-CIR) with latent diffusion. This paper also introduces a new synthe…
SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage
Song Park, Sanghyuk Chun, Byeongho Heo +2
We need billion-scale images to achieve more generalizable and ground-breaking vision models, as well as massive dataset storage to ship the images (e.g., the LAION-4B dataset need…
Vision-Language Generative Model for View-Specific Chest X-ray Generation
Hyungyung Lee, Da Young Lee, Wonjae Kim +5
Synthetic medical data generation has opened up new possibilities in the healthcare domain, offering a powerful tool for simulating clinical scenarios, enhancing diagnostic and tre…