MyeongAh Cho

Orcid: 0000-0001-9330-2785

According to our database1, MyeongAh Cho authored at least 21 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Treating Motion as Option with Output Selection for Unsupervised Video Object Segmentation.
CoRR, 2023

Feature Disentanglement Learning with Switching and Aggregation for Video-based Person Re-Identification.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
SSAT: Self-Supervised Associating Network for Multiobject Tracking.
IEEE Trans. Circuits Syst. Video Technol., 2022

Unsupervised video anomaly detection via normalizing flows with implicit latent features.
Pattern Recognit., 2022

Pixel-Level Equalized Matching for Video Object Segmentation.
CoRR, 2022

RandomSEMO: Normality Learning Of Moving Objects For Video Anomaly Detection.
CoRR, 2022

Frame-to-Frame Visual Odometry Estimation Network With Error Relaxation Method.
IEEE Access, 2022

FastAno: Fast Anomaly Detection via Spatio-temporal Patch Transformation.
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.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Occluded Person Re-Identification Via Relational Adaptive Feature Correction Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Relational Deep Feature Learning for Heterogeneous Face Recognition.
IEEE Trans. Inf. Forensics Secur., 2021

A NIR-to-VIS face recognition via part adaptive and relation attention module.
CoRR, 2021

A Heterogeneous Face Recognition Via Part Adaptive And Relation Attention Module.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
Multi-object tracking with self-supervised associating network.
CoRR, 2020

Unsupervised Video Anomaly Detection via Flow-based Generative Modeling on Appearance and Motion Latent Features.
CoRR, 2020

Relational Deep Feature Learning for Heterogeneous Face Recognition.
CoRR, 2020

Crvos: Clue Refining Network For Video Object Segmentation.
Proceedings of the IEEE International Conference on Image Processing, 2020

Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019
N-RPN: Hard Example Learning For Region Proposal Networks.
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.
Proceedings of the 2019 International Conference on Biometrics, 2019


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