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전체 논문
23
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1
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
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), 2023
2
Object-Oriented Cutout Data Augmentation for Tiny Object Detection
Sunhyuk Yim, MyeongAh Cho, Sangyoun Lee
International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2023), 2023
3
Feature Disentanglement Learning with Switching and Aggregation for Video-based Person Re-Identification
Minjung Kim, MyeongAh Cho, Sangyoun Lee
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023), 2023
4
Saliency Detection via Global Context Enhanced Feature Fusion and Edge Weighted Loss
Chaewon Park*, Minhyeok Lee*, MyeongAh Cho, Sangyoun Lee
IEEE International Conference on Image Processing (ICIP 2022), 2022
5
Frame-to-frame Visual Odometry Estimation Network with Error Relaxation Method
Sangwon Hwang, MyeongAh Cho, Yuseok Ban, Kyungjae Lee
IEEE Access, 2022
6
SSAT: Self-Supervised Associating Network for Multi-Object Tracking
Tae-young Chung, MyeongAh Cho, Heansung Lee, Sangyoun Lee
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022
7
Occluded Person Re-Identification via Relational Adaptive Feature Correction Learning
Minjung Kim, MyeongAh Cho, Heansung Lee, Suhwan Cho, Sangyoun Lee
IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP 2022), 2022
8
Unsupervised Video Anomaly Detection via Normalizing Flows with Implicit Latent Features
MyeongAh Cho, Taeoh Kim, Woo Jin Kim, Suhwan Cho, Sangyoun Lee
ELSEVIER Pattern Recognition (PR), 2022
9
FastAno: Fast Anomaly Detection via Spatio-temporal Patch Transformation
Chaewon Park, MyeongAh Cho, Minhyeok Lee, Sangyoun Lee
10
A NIR-to-VIS Face Recognition via Part Adaptive and Relation Attention Module
Rushuang Xu, MyeongAh Cho, Sangyoun Lee
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2022), 2021
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