25 citations · 63 across the 17 of their papers we have counts for
5 papers · 1 filter
DSTEA: Improving Dialogue State Tracking via Entity Adaptive Pre-training
Yukyung Lee, Takyoung Kim, Hoonsang Yoon +3
Dialogue State Tracking (DST) is critical for comprehensively interpreting user and system utterances, thereby forming the cornerstone of efficient dialogue systems. Despite past r…
REVECA -- Rich Encoder-decoder framework for Video Event CAptioner
Jaehyuk Heo, YongGi Jeong, Sunwoo Kim +2
We describe an approach used in the Generic Boundary Event Captioning challenge at the Long-Form Video Understanding Workshop held at CVPR 2022. We designed a Rich Encoder-decoder…
Mismatch between Multi-turn Dialogue and its Evaluation Metric in Dialogue State Tracking
Takyoung Kim, Hoonsang Yoon, Yukyung Lee +2
Dialogue state tracking (DST) aims to extract essential information from multi-turn dialogue situations and take appropriate actions. A belief state, one of the core pieces of info…
AnoViT: Unsupervised Anomaly Detection and Localization with Vision Transformer-based Encoder-Decoder
Yunseung Lee, Pilsung Kang
Image anomaly detection problems aim to determine whether an image is abnormal, and to detect anomalous areas. These methods are actively used in various fields such as manufacturi…
Recurrent Auto-Encoder With Multi-Resolution Ensemble and Predictive Coding for Multivariate Time-Series Anomaly Detection
Heejeong Choi, Subin Kim, Pilsung Kang
As large-scale time-series data can easily be found in real-world applications, multivariate time-series anomaly detection has played an essential role in diverse industries. It en…