Quality Characteristics for the Test of Mobile Game Software. - Jaehyun Choi; Woojin Lee; Dohyung Kwon; Kiwon Chong (Software Engineering Research and Practice, 2004)

A Node Management Tool for Dynamic Reconfiguration of Application Modules in Sensor Networks. - Sunwoo Jung; Jaehyun Choi; Dongkyu Kim; Kiwon Chong (APNOMS, 2006)

An Energy Efficient Routing Protocol in Wireless Sensor Networks. - Kyung Tae Kim; Byung Jun Lee; Jaehyun Choi; Bo Yle Jung; Hee Yong Youn (CSE (1), 2009)

Enhanced Packet Buffering for DiffServ in Fast Handover Mobile IP. - Jaehyun Choi; Seungwok Han; Chang Hoon Lyu; Hee Yong Youn (CIT, 2010)

The Gap between What a Service Provider Shows Off and What Users Really Watch. - Dongjin Kim; Jaehyun Choi (HCI (3), 2014)

Performance Enhancement in Compact Inverted-L Antenna by Using 1-D EBG Ground Structures and Beam Directors. - Jae-Yeong Lee; Jaehyun Choi; Jae-Hyung Jang; Wonbin Hong (IEEE Access, 2019)

mmWave 5G NR Cellular Handset Prototype Featuring Optically Invisible Beamforming Antenna-on-Display. - Wonbin Hong; Jaehyun Choi; Dongpil Park; Myun-soo Kim; Chisang You; Doochan Jung; Junho Park (IEEE Commun. Mag., 2020)

Performance Enhancement of mm-Wave Phased Arrays for Mobile Terminals Through Grounded Coplanar Waveguide Feeding Networks With via Fences. - Jae-Yeong Lee; Jaehyun Choi; Bumhyun Kim; Yerim Oh; Wonbin Hong (Frontiers Commun. Networks, 2021)

Broadband and Wide-Angle Scanning Capability in Low-Coupled mm-Wave Phased-Arrays Incorporating ILA With HIS Fabricated on FR-4 PCB. - Jae-Yeong Lee; Jaehyun Choi; Dongkwon Choi; Youngno Youn; Wonbin Hong (IEEE Trans. Veh. Technol., 2021)

Pivot-Guided Embedding for Domain Generalization. - Hyun Seok Seong; Jaehyun Choi; Woojin Jeong; Jae-Pil Heo (IEEE Access, 2022)

Dual-Band Patch Antenna Matching Network Comprised of Separated Ground Layers and via Posts for Adjustable Return Current Path. - Youngno Youn; Jaehyun Choi; Bumhyun Kim; Woonbong Hwang; Chow-Yen-Desmond Sim; Wonbin Hong (IEEE Access, 2022)

Fix the Noise: Disentangling Source Feature for Transfer Learning of StyleGAN. - Dongyeun Lee; Jae Young Lee 002; Doyeon Kim; Jaehyun Choi; Junmo Kim 002 (CoRR, 2022)

Training Time Adversarial Attack Aiming the Vulnerability of Continual Learning. - Gyojin Han; Jaehyun Choi; Hyeong Gwon Hong; Junmo Kim 002 (CoRR, 2022)

Few-Shot Anomaly Detection with Adversarial Loss for Robust Feature Representations. - Jae Young Lee 002; Wonjun Lee; Jaehyun Choi; Yongkwi Lee; Young Seog Yoon (BMVC, 2023)

Reinforcement Learning-Based Black-Box Model Inversion Attacks. - Gyojin Han; Jaehyun Choi; Haeil Lee; Junmo Kim 002 (CVPR, 2023)

Fix the Noise: Disentangling Source Feature for Controllable Domain Translation. - Dongyeun Lee; Jae Young Lee 002; Doyeon Kim; Jaehyun Choi; Jaejun Yoo 001; Junmo Kim 002 (CVPR, 2023)

Data Poisoning Attack Aiming the Vulnerability of Continual Learning. - Gyojin Han; Jaehyun Choi; Hyeong Gwon Hong; Junmo Kim 002 (ICIP, 2023)

Deep Cross-Modal Steganography Using Neural Representations. - Gyojin Han; Dong-Jae Lee; Jiwan Hur; Jaehyun Choi; Junmo Kim 002 (ICIP, 2023)

Automatic Prediction of Language Learners' Listenability Using Speech and Text Features Extracted from Listening Drills. - Yingxiang Gao; Jaehyun Choi; Nobuaki Minematsu; Noriko Nakanishi; Daisuke Saito (INTERSPEECH, 2023)

I See-Through You: A Framework for Removing Foreground Occlusion in Both Sparse and Dense Light Field Images. - Jiwan Hur; Jae Young Lee 002; Jaehyun Choi; Junmo Kim 002 (WACV, 2023)

Multi-scale foreground-background separation for light field depth estimation with deep convolutional networks. - Jae Young Lee 002; Jiwan Hur; Jaehyun Choi; Rae-Hong Park; Junmo Kim 002 (Pattern Recognit. Lett., 2023)

TCX: Texture and channel swappings for domain generalization. - Jaehyun Choi; Hyun Seok Seong; Sanguk Park; Jae-Pil Heo (Pattern Recognit. Lett., 2023)

Modeling Stereo-Confidence out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep. - Jae Young Lee 002; Woonghyun Ka; Jaehyun Choi; Junmo Kim 002 (AAAI, 2024)

Learning Neural Deformation Representation for 4D Dynamic Shape Generation. - Gyojin Han; Jiwan Hur; Jaehyun Choi; Junmo Kim 002 (ECCV (72), 2024)

Stereo-Matching Knowledge Distilled Monocular Depth Estimation Filtered by Multiple Disparity Consistency. - Woonghyun Ka; Jae Young Lee 002; Jaehyun Choi; Junmo Kim 002 (ICASSP, 2024)

Acceleration of Posteriorgram-based DTW by Distilling the Class-to-class Distances Encoded in the Classifier Used to Calculate Posteriors. - Haitong Sun; Jaehyun Choi; Nobuaki Minematsu; Daisuke Saito (INTERSPEECH, 2024)

PSGMM: Pulmonary Segment Segmentation Based on Gaussian Mixture Model. - Seunghee Koh; Chanho Lee; Jae Young Lee 002; Jaehyun Choi; Youngno Yoon; Changyoung Lee; Junmo Kim 002 (ShapeMI@MICCAI, 2024)

Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance. - Jiwan Hur; Dong-Jae Lee; Gyojin Han; Jaehyun Choi; Yunho Jeon; Junmo Kim 002 (NeurIPS, 2024)

Self-supervised Transformation Learning for Equivariant Representations. - Jaemyung Yu; Jaehyun Choi; Dong-Jae Lee; Hyeong Gwon Hong; Junmo Kim 002 (NeurIPS, 2024)

Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation based Fine-Tuning. - Jiwan Hur; Jaehyun Choi; Gyojin Han; Dong-Jae Lee; Junmo Kim 002 (WACV, 2024)

Boundary-Recovering Network for Temporal Action Detection. - Jihwan Kim; Jaehyun Choi; Yerim Jeon; Jae-Pil Heo (CoRR, 2024)

AH-OCDA: Amplitude-based Curriculum Learning and Hopfield Segmentation Model for Open Compound Domain Adaptation. - Jaehyun Choi; Junwon Ko; Dong-Jae Lee; Junmo Kim 002 (CoRR, 2024)

AH-OCDA: Amplitude-Based Curriculum Learning and Hopfield Segmentation Model for Open Compound Domain Adaptation. - Jaehyun Choi; Junwon Ko; Dong-Jae Lee; Junmo Kim (WACV, 2025)

Self-supervised Transformation Learning for Equivariant Representations. - Jaemyung Yu; Jaehyun Choi; Dong-Jae Lee; Hyeong Gwon Hong; Junmo Kim (CoRR, 2025)

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation. - Jaehyun Choi; Gyojin Han; Dong-Jae Lee; Sunghyun Baek; Junmo Kim (CoRR, 2025)

PRISM: Video Dataset Condensation with Progressive Refinement and Insertion for Sparse Motion. - Jaehyun Choi; Jiwan Hur; Gyojin Han; Jaemyung Yu; Junmo Kim 002 (CoRR, 2025)