activity
20212023
most citedRegular Time-series Generation using SGM

8 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2023

MadSGM: Multivariate Anomaly Detection with Score-based Generative Models

Haksoo Lim, Sewon Park, Minjung Kim +3

The time-series anomaly detection is one of the most fundamental tasks for time-series. Unlike the time-series forecasting and classification, the time-series anomaly detection typ…

cs.LG2023★ 8 cited

Regular Time-series Generation using SGM

Haksoo Lim, Minjung Kim, Sewon Park +1

Score-based generative models (SGMs) are generative models that are in the spotlight these days. Time-series frequently occurs in our daily life, e.g., stock data, climate data, an…

cs.CL2022★ 1 cited

Marvelous Agglutinative Language Effect on Cross Lingual Transfer Learning

Wooyoung Kim, Chaerin Jo, Minjung Kim +1

As for multilingual language models, it is important to select languages for training because of the curse of multilinguality. It is known that using languages with similar languag…

cs.CV2022

3D-GIF: 3D-Controllable Object Generation via Implicit Factorized Representations

Minsoo Lee, Chaeyeon Chung, Hojun Cho +4

While NeRF-based 3D-aware image generation methods enable viewpoint control, limitations still remain to be adopted to various 3D applications. Due to their view-dependent and ligh…

cs.CV2021

Pixel-Level Bijective Matching for Video Object Segmentation

Suhwan Cho, Heansung Lee, Minjung Kim +2

Semi-supervised video object segmentation (VOS) aims to track the designated objects present in the initial frame of a video at the pixel level. To fully exploit the appearance inf…