MyeongAh Cho

According to our database, MyeongAh Cho authored at least 23 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Fast video anomaly detection via context-aware shortcut exploration and abnormal feature distance learning.

Chaewon Park, Donghyeong Kim, MyeongAh Cho, Minjung Kim, Minseok Lee, Seungwook Park, Sangyoun Lee

Pattern Recognit., 2025

2024

Towards Multi-Domain Learning for Generalizable Video Anomaly Detection.

MyeongAh Cho, Taeoh Kim, Minho Shim, Dongyoon Wee, Sangyoun Lee

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Treating Motion as Option with Output Selection for Unsupervised Video Object Segmentation.

Suhwan Cho, Minhyeok Lee, Jungho Lee, MyeongAh Cho, Sangyoun Lee

CoRR, 2023

Feature Disentanglement Learning with Switching and Aggregation for Video-based Person Re-Identification.

Minjung Kim, MyeongAh Cho, Sangyoun Lee

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Look Around for Anomalies: Weakly-Supervised Anomaly Detection via Context-Motion Relational Learning.

MyeongAh Cho, Minjung Kim, Sangwon Hwang, Chaewon Park, Kyungjae Lee, Sangyoun Lee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

SSAT: Self-Supervised Associating Network for Multiobject Tracking.

Tae-Young Chung, MyeongAh Cho, Heansung Lee, Sangyoun Lee

IEEE Trans. Circuits Syst. Video Technol., 2022

Unsupervised video anomaly detection via normalizing flows with implicit latent features.

MyeongAh Cho, Taeoh Kim, Woo Jin Kim, Suhwan Cho, Sangyoun Lee

Pattern Recognit., 2022

Pixel-Level Equalized Matching for Video Object Segmentation.

Suhwan Cho, Woo Jin Kim, MyeongAh Cho, Seunghoon Lee, Minhyeok Lee, Chaewon Park, Sangyoun Lee

CoRR, 2022

RandomSEMO: Normality Learning Of Moving Objects For Video Anomaly Detection.

Chaewon Park, Minhyeok Lee, MyeongAh Cho, Sangyoun Lee

CoRR, 2022

Frame-to-Frame Visual Odometry Estimation Network With Error Relaxation Method.

Sangwon Hwang, MyeongAh Cho, Yuseok Ban, Kyungjae Lee

IEEE Access, 2022

FastAno: Fast Anomaly Detection via Spatio-temporal Patch Transformation.

Chaewon Park, MyeongAh Cho, Minhyeok Lee, Sangyoun Lee

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Saliency Detection via Global Context Enhanced Feature Fusion and Edge Weighted Loss.

Chaewon Park, Minhyeok Lee, MyeongAh Cho, Sangyoun Lee

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Occluded Person Re-Identification Via Relational Adaptive Feature Correction Learning.

Minjung Kim, MyeongAh Cho, Heansung Lee, Suhwan Cho, Sangyoun Lee

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Relational Deep Feature Learning for Heterogeneous Face Recognition.

MyeongAh Cho, Taeoh Kim, Ig-Jae Kim, Kyungjae Lee, Sangyoun Lee

IEEE Trans. Inf. Forensics Secur., 2021

A NIR-to-VIS face recognition via part adaptive and relation attention module.

Rushuang Xu, MyeongAh Cho, Sangyoun Lee

CoRR, 2021

A Heterogeneous Face Recognition Via Part Adaptive And Relation Attention Module.

Rushuang Xu, MyeongAh Cho, Sangyoun Lee

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Multi-object tracking with self-supervised associating network.

Tae-Young Chung, Heansung Lee, MyeongAh Cho, Suhwan Cho, Sangyoun Lee

CoRR, 2020

Unsupervised Video Anomaly Detection via Flow-based Generative Modeling on Appearance and Motion Latent Features.

MyeongAh Cho, Taeoh Kim, Sangyoun Lee

CoRR, 2020

Relational Deep Feature Learning for Heterogeneous Face Recognition.

MyeongAh Cho, Taeoh Kim, Ig-Jae Kim, Sangyoun Lee

CoRR, 2020

Crvos: Clue Refining Network For Video Object Segmentation.

Suhwan Cho, MyeongAh Cho, Tae-Young Chung, Heansung Lee, Sangyoun Lee

Proceedings of the IEEE International Conference on Image Processing, 2020

Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition.

Taeoh Kim, Hyeongmin Lee, MyeongAh Cho, Ho Seong Lee, Dong Heon Cho, Sangyoun Lee

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

N-RPN: Hard Example Learning For Region Proposal Networks.

MyeongAh Cho, Tae-Young Chung, Hyeongmin Lee, Sangyoun Lee

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

NIR-to-VIS Face Recognition via Embedding Relations and Coordinates of the Pairwise Features.

MyeongAh Cho, Tae-Young Chung, Taeoh Kim, Sangyoun Lee

Proceedings of the 2019 International Conference on Biometrics, 2019