Fast mode-decision for H.264/AVC based on inter-frame correlations. - Hyunsuk Ko; Kiwon Yoo; Kwanghoon Sohn (Signal Process. Image Commun., 2009)

A new in-loop filter for depth map coding in HEVC. - Hyunsuk Ko; C.-C. Jay Kuo (APSIPA, 2012)

3D image quality index using SDP-based binocular perception model. - Hyunsuk Ko; Chang-Su Kim 001; Seo Young Choi; C.-C. Jay Kuo (IVMSP, 2013)

MCL-3D: A Database for Stereoscopic Image Quality Assessment using 2D-Image-Plus-Depth Source. - Rui Song 003; Hyunsuk Ko; C.-C. Jay Kuo (J. Inf. Sci. Eng., 2015)

Adaptive keypoint-based CU depth decision for HEVC intra coding. - Namuk Kim; Seungsu Jeon; Hiuk Jae Shim; Byeungwoo Jeon; Sung-Chang Lim; Hyunsuk Ko (BMSB, 2016)

Just-noticeable-quantization-distortion based preprocessing for perceptual video coding. - Sehwan Ki; Munchurl Kim; Hyunsuk Ko (VCIP, 2017)

Robust uncalibrated stereo rectification with constrained geometric distortions (USR-CGD). - Hyunsuk Ko; Han Suk Shim; Ouk Choi; C.-C. Jay Kuo (Image Vis. Comput., 2017)

A ParaBoost stereoscopic image quality assessment (PBSIQA) system. - Hyunsuk Ko; Rui Song 003; C.-C. Jay Kuo (J. Vis. Commun. Image Represent., 2017)

Learning-Based Just-Noticeable-Quantization- Distortion Modeling for Perceptual Video Coding. - Sehwan Ki; Sung-Ho Bae; Munchurl Kim; Hyunsuk Ko (IEEE Trans. Image Process., 2018)

Extended End-to-End optimized Image Compression Method based on a Context-Adaptive Entropy Model. - Jooyoung Lee 004; Seunghyun Cho; Seyoon Jeong; Hyoungjin Kwon; Hyunsuk Ko; Hui Yong Kim; Jin Soo Choi (CVPR Workshops, 2019)

Video Quality Model for Space-Time Resolution Adaptation. - Dae Yeol Lee; Hyunsuk Ko; Jongho Kim; Alan C. Bovik (IPAS, 2020)

Psychometric Properties of the Nine-Item Korean Internet Gaming Disorder Scale: Short Form. - Bin-Na Kim; Hyunsuk Ko (Cyberpsychology Behav. Soc. Netw., 2020)

Edge-Preserving Reference Sample Filtering and Mode-Dependent Interpolation for Intra-Prediction. - Hyunsuk Ko; Jinho Lee; Jungwon Kang; Hui Yong Kim (IEEE Trans. Circuits Syst. Video Technol., 2020)

Quality Prediction on Deep Generative Images. - Hyunsuk Ko; Dae Yeol Lee; Seunghyun Cho; Alan C. Bovik (IEEE Trans. Image Process., 2020)

Deep Learning-Based Compression for Phase-Only Hologram. - Hyunsuk Ko; Hui Yong Kim (IEEE Access, 2021)

Video Quality Model of Compression, Resolution and Frame Rate Adaptation Based on Space-Time Regularities. - Dae Yeol Lee; Jongho Kim; Hyunsuk Ko; Alan C. Bovik (IEEE Trans. Image Process., 2022)

A Subjective and Objective Study of Space-Time Subsampled Video Quality. - Dae Yeol Lee; Somdyuti Paul; Christos G. Bampis; Hyunsuk Ko; Jongho Kim; Se-Yoon Jeong; Blake Homan; Alan C. Bovik (IEEE Trans. Image Process., 2022)

NysAct: A Scalable Preconditioned Gradient Descent using Nyström Approximation. - Hyunseok Seung; Jaewoo Lee; Hyunsuk Ko (IEEE Big Data, 2024)

An Adaptive Method Stabilizing Activations for Enhanced Generalization. - Hyunseok Seung; Jaewoo Lee; Hyunsuk Ko (ICDM (Workshops), 2024)

Distribution-Shifting: Novel Phase-distortion Metrics for Hologram Processing. - Seungmi Choi; Jun Yeong Cha; Hyunmin Ban; Kwan-Jung Oh; Hyunsuk Ko; Hui Yong Kim (VR Workshops, 2024)

Study of Subjective and Objective Quality in Super-Resolution Enhanced Broadcast Images on a Novel SR-IQA Dataset. - Yongrok Kim; Junha Shin; Juhyun Lee; Hyunsuk Ko (CoRR, 2024)

Facial image deblurring network for robust illuminance adaptation and key structure restoration. - Yongrok Kim; Hyukmin Kwon; Hyunsuk Ko (Eng. Appl. Artif. Intell., 2024)

MAC: An Efficient Gradient Preconditioning using Mean Activation Approximated Curvature. - Hyunseok Seung; Jaewoo Lee; Hyunsuk Ko (CoRR, 2025)