MyeongAh Cho - RankMe

43 papers A* 5A 2B 4Misc 1Journal 29Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Semantically Disentangled Unified Model for Multi-category 3D Anomaly Detection. CoRR Suyeon Kim, Wongyu Lee, MyeongAh Cho
2026	A*	`conf`	Do We Need Perfect Data? Leveraging Noise for Domain Generalized Segmentation. AAAI Taeyeong Kim, Seungjoon Lee, Jung Uk Kim, MyeongAh Cho
2026	J	`jnl`	ParTY: Part-Guidance for Expressive Text-to-Motion Synthesis. CoRR KunHo Heo, Suyeon Kim, Yonghyun Gwon, YoungBin Kim, MyeongAh Cho
2026	A*	`conf`	PlugTrack: Multi-Perceptive Motion Analysis for Adaptive Fusion in Multi-Object Tracking. AAAI Seungjae Kim, Seungjoon Lee, MyeongAh Cho
2026	A*	`conf`	RefineVAD: Semantic-Guided Feature Recalibration for Weakly Supervised Video Anomaly Detection. AAAI Junhee Lee, ChaeBeen Bang, MyoungChul Kim, MyeongAh Cho
2025	J	`jnl`	Adaptive Grid Selection Training Strategy for Tiny Object Detection. IEEE Access Sunhyuk Yim, MyeongAh Cho, Dongwoo Kang, Sangyoun Lee
2025	J	`jnl`	Do We Need Perfect Data? Leveraging Noise for Domain Generalized Segmentation. CoRR Taeyeong Kim, Seungjoon Lee, Jung Uk Kim, MyeongAh Cho
2025	J	`jnl`	Fast video anomaly detection via context-aware shortcut exploration and abnormal feature distance learning. Pattern Recognit. Chaewon Park, Donghyeong Kim, MyeongAh Cho, Minjung Kim, Minseok Lee, Seungwook Park, Sangyoun Lee
2025	J	`jnl`	Object-Centric Representation Learning for Enhanced 3D Scene Graph Prediction. CoRR KunHo Heo, Gihyun Kim, Suyeon Kim, MyeongAh Cho
2025	J	`jnl`	PlugTrack: Multi-Perceptive Motion Analysis for Adaptive Fusion in Multi-Object Tracking. CoRR Seungjae Kim, Seungjoon Lee, MyeongAh Cho
2025	J	`jnl`	RefineVAD: Semantic-Guided Feature Recalibration for Weakly Supervised Video Anomaly Detection. CoRR Junhee Lee, ChaeBeen Bang, MyoungChul Kim, MyeongAh Cho
2025	J	`jnl`	Spatio-temporal Feature-level Augmentation Vision Transformer for video-based person re-identification. Pattern Recognit. Minjung Kim, MyeongAh Cho, Heansung Lee, Sangyoun Lee
2025	J	`jnl`	Treating Motion as Option With Output Selection for Unsupervised Video Object Segmentation. IEEE Trans. Circuits Syst. Video Technol. Suhwan Cho, Minhyeok Lee, Jungho Lee, MyeongAh Cho, Seungwook Park, Jaeyeob Kim, Hyunsung Jang, Sangyoun Lee
2024	A*	`conf`	Towards Multi-Domain Learning for Generalizable Video Anomaly Detection. NeurIPS MyeongAh Cho, Taeoh Kim, Minho Shim, Dongyoon Wee, Sangyoun Lee
2023	A	`conf`	Feature Disentanglement Learning with Switching and Aggregation for Video-based Person Re-Identification. WACV Minjung Kim, MyeongAh Cho, Sangyoun Lee
2023	A*	`conf`	Look Around for Anomalies: Weakly-Supervised Anomaly Detection via Context-Motion Relational Learning. CVPR MyeongAh Cho, Minjung Kim, Sangwon Hwang, Chaewon Park, Kyungjae Lee, Sangyoun Lee
2023	J	`jnl`	Treating Motion as Option with Output Selection for Unsupervised Video Object Segmentation. CoRR Suhwan Cho, Minhyeok Lee, Jungho Lee, MyeongAh Cho, Sangyoun Lee
2022	A	`conf`	FastAno: Fast Anomaly Detection via Spatio-temporal Patch Transformation. WACV Chaewon Park, MyeongAh Cho, Minhyeok Lee, Sangyoun Lee
2022	J	`jnl`	Feature Disentanglement Learning with Switching and Aggregation for Video-based Person Re-Identification. CoRR Minjung Kim, MyeongAh Cho, Sangyoun Lee
2022	J	`jnl`	Frame-to-Frame Visual Odometry Estimation Network With Error Relaxation Method. IEEE Access Sangwon Hwang, MyeongAh Cho, Yuseok Ban, Kyungjae Lee
2022	J	`jnl`	N-RPN: Hard Example Learning for Region Proposal Networks. CoRR MyeongAh Cho, Tae-Young Chung, Hyeongmin Lee, Sangyoun Lee
2022	J	`jnl`	NIR-to-VIS Face Recognition via Embedding Relations and Coordinates of the Pairwise Features. CoRR MyeongAh Cho, Tae-Young Chung, Taeoh Kim, Sangyoun Lee
2022	Misc	`conf`	Occluded Person Re-Identification Via Relational Adaptive Feature Correction Learning. ICASSP Minjung Kim, MyeongAh Cho, Heansung Lee, Suhwan Cho, Sangyoun Lee
2022	J	`jnl`	Occluded Person Re-Identification via Relational Adaptive Feature Correction Learning. CoRR Minjung Kim, MyeongAh Cho, Heansung Lee, Suhwan Cho, Sangyoun Lee
2022	J	`jnl`	Pixel-Level Equalized Matching for Video Object Segmentation. CoRR Suhwan Cho, Woo Jin Kim, MyeongAh Cho, Seunghoon Lee, Minhyeok Lee, Chaewon Park, Sangyoun Lee
2022	J	`jnl`	RandomSEMO: Normality Learning Of Moving Objects For Video Anomaly Detection. CoRR Chaewon Park, Minhyeok Lee, MyeongAh Cho, Sangyoun Lee
2022	J	`jnl`	SSAT: Self-Supervised Associating Network for Multiobject Tracking. IEEE Trans. Circuits Syst. Video Technol. Tae-Young Chung, MyeongAh Cho, Heansung Lee, Sangyoun Lee
2022	B	`conf`	Saliency Detection via Global Context Enhanced Feature Fusion and Edge Weighted Loss. ICIP Chaewon Park, Minhyeok Lee, MyeongAh Cho, Sangyoun Lee
2022	J	`jnl`	Unsupervised video anomaly detection via normalizing flows with implicit latent features. Pattern Recognit. MyeongAh Cho, Taeoh Kim, Woo Jin Kim, Suhwan Cho, Sangyoun Lee
2021	B	`conf`	A Heterogeneous Face Recognition Via Part Adaptive And Relation Attention Module. ICIP Rushuang Xu, MyeongAh Cho, Sangyoun Lee
2021	J	`jnl`	A NIR-to-VIS face recognition via part adaptive and relation attention module. CoRR Rushuang Xu, MyeongAh Cho, Sangyoun Lee
2021	J	`jnl`	FastAno: Fast Anomaly Detection via Spatio-temporal Patch Transformation. CoRR Chaewon Park, MyeongAh Cho, Minhyeok Lee, Sangyoun Lee
2021	J	`jnl`	Relational Deep Feature Learning for Heterogeneous Face Recognition. IEEE Trans. Inf. Forensics Secur. MyeongAh Cho, Taeoh Kim, Ig-Jae Kim, Kyungjae Lee, Sangyoun Lee
2021	J	`jnl`	Saliency Detection via Global Context Enhanced Feature Fusion and Edge Weighted Loss. CoRR Chaewon Park, Minhyeok Lee, MyeongAh Cho, Sangyoun Lee
2020	J	`jnl`	CRVOS: Clue Refining Network for Video Object Segmentation. CoRR Suhwan Cho, MyeongAh Cho, Tae-Young Chung, Heansung Lee, Sangyoun Lee
2020	B	`conf`	Crvos: Clue Refining Network For Video Object Segmentation. ICIP Suhwan Cho, MyeongAh Cho, Tae-Young Chung, Heansung Lee, Sangyoun Lee
2020	—	`conf`	Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition. ECCV Workshops (2) Taeoh Kim, Hyeongmin Lee, MyeongAh Cho, Ho Seong Lee, Dong Heon Cho, Sangyoun Lee
2020	J	`jnl`	Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition. CoRR Taeoh Kim, Hyeongmin Lee, MyeongAh Cho, Ho Seong Lee, Dong Heon Cho, Sangyoun Lee
2020	J	`jnl`	Multi-object tracking with self-supervised associating network. CoRR Tae-Young Chung, Heansung Lee, MyeongAh Cho, Suhwan Cho, Sangyoun Lee
2020	J	`jnl`	Relational Deep Feature Learning for Heterogeneous Face Recognition. CoRR MyeongAh Cho, Taeoh Kim, Ig-Jae Kim, Sangyoun Lee
2020	J	`jnl`	Unsupervised Video Anomaly Detection via Flow-based Generative Modeling on Appearance and Motion Latent Features. CoRR MyeongAh Cho, Taeoh Kim, Sangyoun Lee
2019	B	`conf`	N-RPN: Hard Example Learning For Region Proposal Networks. ICIP MyeongAh Cho, Tae-Young Chung, Hyeongmin Lee, Sangyoun Lee
2019	—	`conf`	NIR-to-VIS Face Recognition via Embedding Relations and Coordinates of the Pairwise Features. ICB MyeongAh Cho, Tae-Young Chung, Taeoh Kim, Sangyoun Lee