7 citations · 18 across the 7 of their papers we have counts for
8 papers
Practical Dataset Distillation Based on Deep Support Vectors
Hyunho Lee, Junhoo Lee, Nojun Kwak
Conventional dataset distillation requires significant computational resources and assumes access to the entire dataset, an assumption impractical as it presumes all data resides o…
Unifying Vision-Language Representation Space with Single-tower Transformer
Jiho Jang, Chaerin Kong, Donghyeon Jeon +2
Contrastive learning is a form of distance learning that aims to learn invariant features from two related representations. In this paper, we explore the bold hypothesis that an im…
Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image Manipulation
Chaerin Kong, DongHyeon Jeon, Ohjoon Kwon +1
Fashion attribute editing is a task that aims to convert the semantic attributes of a given fashion image while preserving the irrelevant regions. Previous works typically employ c…
Towards Efficient Neural Scene Graphs by Learning Consistency Fields
Yeji Song, Chaerin Kong, Seoyoung Lee +2
Neural Radiance Fields (NeRF) achieves photo-realistic image rendering from novel views, and the Neural Scene Graphs (NSG) \cite{ost2021neural} extends it to dynamic scenes (video)…
Pose-MUM : Reinforcing Key Points Relationship for Semi-Supervised Human Pose Estimation
JongMok Kim, Hwijun Lee, Jaeseung Lim +3
A well-designed strong-weak augmentation strategy and the stable teacher to generate reliable pseudo labels are essential in the teacher-student framework of semi-supervised learni…
Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation
KiYoon Yoo, Jangho Kim, Jiho Jang +1
Word-level adversarial attacks have shown success in NLP models, drastically decreasing the performance of transformer-based models in recent years. As a countermeasure, adversaria…