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publications

Neural Network Training Method for Environmental Adaptation

Published in Institute of Electronics and Information Engineers (IEIE), 2022

Jongmin Lee, Seungjin Jung, Hyoungjun Lim, and Jongwon Choi., "Neural Network Training Method for Environmental Adaptation." In Procedding of the Summer Annual Conference of the Institute of Electronics and Information Engineers (IEIE), 2022
[Paper]

Data Augmentation for Wildlife Animal Recognition Using Style Transfer

Published in IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), 2022

Seungjin Jung, Yuyeon Lee, Inbok Lee, Joohyun Kang, Seungwook Lim, and Jongwon Choi., "Data Augmentation for Wildlife Animal Recognition Using Style Transfer." In Procedding of the IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), 2022
[Paper]

Active Instance Selection for Few-Shot Classification

Published in IEEE Access, 2022

Junsup Shin, Yongwook Kang, Seungjin Jung, and Jongwon Choi., "Active Instance Selection for Few-Show Classification." IEEE Access, 2022
[Impact Factor = 3.9][Paper]

A Study on the Automatic Classification of Unsanitary Food Articles Based on Supervised Learning

Published in Institute of Electronics and Information Engineers (IEIE), 2023

HyoungJun Lim, Jaeyoon Lee, Dohee Kim, Taehoon Kim, Seungjin Jung, and Jongwon Choi., "A Study on the Automatic Classification of Unsanitary Food Articles Based on Supervised Learning." In Proceeding of the Summer Annual Conference of the Institute of Electronics and Information Engineers (IEIE), 2023. [Paper]

Scaling of Class-wise Training Losses for Post-hoc Calibration

Published in International Conference on Machine Learning, 2023

Seungjin Jung, Seungmo Seo, Yonghyun Jeong, and Jongwon Choi., "Scaling of Class-wise Training Losses for Post-hoc Calibration." In Proceeding of the International Conference on Machine Learning (ICML), 2023
[Acceptance Rate 27.94% (1,827/6,538)] [Paper] [Github]

De-Bias Using Abstract Meaning Representation for Image Captioning

Published in IEEE International Conference on Consumer Electronics (ICCE), 2024

Jungeun Kim, Jangyeong Jeon, Seungjin Jung, and Junyeong Kim., "De-Bias Using Abstract Meaning Representation for Image Captioning." In Procedding of the IEEE International Conference on Consumer Electronics (ICCE), 2024
[Paper]

Image classifier robust to Domain Shift through Contrastive Learning and Loss Scaling

Published in Institute of Electronics and Information Engineers (IEIE), 2024

Kanghee Lee, Jaehyung Bae, Haeun Noh, Seungjin Jung, and Jongwon Choi., "Image classifier robust to Domain Shift through Contrastive Learning and Loss Scaling." In Procedding of the Summer Annual Conference of the Institute of Electronics and Information Engineers (IEIE), 2024
[Paper]

MAYA: Multi-Attack Yielding Augmentation for Unified Face Attack Detection

Published in International Conference on Computer Vision, Workshop, 2025

Taehoon Kim, Jongwook choi, Seungjin Jung, and Jongwon Choi, "MAYA: Multi-Attack Yielding Augmentation for Unified Face Attack Detection." In Proceeding of the IEEE/CVF International Conference on Computer Vision Workshop(ICCVW), 2025
[Paper]

Group-wise Scaling and Orthogonal Decomposition for Domain-Invariant Feature Extraction in Face Anti-Spoofing

Published in International Conference on Computer Vision, 2025

Seungjin Jung, Kanghee Lee, Yonghyun Jeong, Haeun Noh, Jungmin Lee, and Jongwon Choi, "Group-wise Scaling and Orthogonal Decomposition for Domain-Invariant Feature Extraction in Face Anti-Spoofing." In Proceeding of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025
[Acceptance Rate 24.01% (2,698/11,239)] [Paper] [Github] [Project]