activity
20222025
most citedAnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme

16 citations · 22 across the 9 of their papers we have counts for

collaborators

9 papers

cond-mat.mtrl-sci20253 cited

Residual Connection-Enhanced ConvLSTM for Lithium Dendrite Growth Prediction

Hosung Lee, Byeongoh Hwang, Dasan Kim +1

The growth of lithium dendrites significantly impacts the performance and safety of rechargeable batteries, leading to short circuits and capacity degradation. This study proposes…

cs.CV2024

FLEUR: An Explainable Reference-Free Evaluation Metric for Image Captioning Using a Large Multimodal Model

Yebin Lee, Imseong Park, Myungjoo Kang

Most existing image captioning evaluation metrics focus on assigning a single numerical score to a caption by comparing it with reference captions. However, these methods do not pr…

cs.IR2024

Revealing and Utilizing In-group Favoritism for Graph-based Collaborative Filtering

Hoin Jung, Hyunsoo Cho, Myungje Choi +3

When it comes to a personalized item recommendation system, It is essential to extract users' preferences and purchasing patterns. Assuming that users in the real world form a clus…

cs.CV20231 cited

-Poisson surface reconstruction in curl-free flow from point clouds

Yesom Park, Taekyung Lee, Jooyoung Hahn +1

The aim of this paper is the reconstruction of a smooth surface from an unorganized point cloud sampled by a closed surface, with the preservation of geometric shapes, without any…

math.NA20231 cited

ReSDF: Redistancing Implicit Surfaces using Neural Networks

Yesom Park, Chang hoon Song, Jooyoung Hahn +1

This paper proposes a deep-learning-based method for recovering a signed distance function (SDF) of a given hypersurface represented by an implicit level set function. Using the fl…

cs.LG202316 cited

AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme

Yungi Jeong, Eunseok Yang, Jung Hyun Ryu +2

Mechanical defects in real situations affect observation values and cause abnormalities in multivariate time series, such as sensor values or network data. To perceive abnormalitie…