Reliable optical flow estimation in motion-blurred regions. - Yeong Jun Koh; Chul Lee; Jae-Young Sim; Chang-Su Kim 001 (MMSP, 2013)

Efficient Fine-Granular Scalable Coding of 3D Mesh Sequences. - Jae-Kyun Ahn; Yeong Jun Koh; Chang-Su Kim 001 (IEEE Trans. Multim., 2013)

Robust video stabilization based on mesh grid warping of rolling-free features. - Yeong Jun Koh; Jae-Young Sim; Chang-Su Kim 001 (ICIP, 2014)

Dark image enhancement based onpairwise target contrast and multi-scale detail boosting. - Youngbae Kim; Yeong Jun Koh; Chulwoo Lee; Sehoon Kim; Chang-Su Kim 001 (ICIP, 2015)

Video Stabilization Based on Feature Trajectory Augmentation and Selection and Robust Mesh Grid Warping. - Yeong Jun Koh; Chulwoo Lee; Chang-Su Kim 001 (IEEE Trans. Image Process., 2015)

POD: Discovering Primary Objects in Videos Based on Evolutionary Refinement of Object Recurrence, Background, and Primary Object Models. - Yeong Jun Koh; Won-Dong Jang; Chang-Su Kim 001 (CVPR, 2016)

Primary Object Segmentation in Videos Based on Region Augmentation and Reduction. - Yeong Jun Koh; Chang-Su Kim 001 (CVPR, 2017)

CDTS: Collaborative Detection, Tracking, and Segmentation for Online Multiple Object Segmentation in Videos. - Yeong Jun Koh; Chang-Su Kim 001 (ICCV, 2017)

Unsupervised Primary Object Discovery in Videos Based on Evolutionary Primary Object Modeling With Reliable Object Proposals. - Yeong Jun Koh; Chang-Su Kim 001 (IEEE Trans. Image Process., 2017)

Sequential Clique Optimization for Video Object Segmentation. - Yeong Jun Koh; Young-Yoon Lee; Chang-Su Kim 001 (ECCV (14), 2018)

Multiscale Feature Extractors for Stereo Matching Cost Computation. - Kyung-Rae Kim; Yeong Jun Koh; Chang-Su Kim 001 (IEEE Access, 2018)

Meta Learning for Unsupervised Clustering. - Han-Ul Kim 001; Yeong Jun Koh; Chang-Su Kim 001 (BMVC, 2019)

Instance-Level Future Motion Estimation in a Single Image Based on Ordinal Regression. - Kyung-Rae Kim; Whan Choi; Yeong Jun Koh; Seong-Gyun Jeong; Chang-Su Kim 001 (ICCV, 2019)

Interactive Video Object Segmentation Using Global and Local Transfer Modules. - Yuk Heo; Yeong Jun Koh; Chang-Su Kim 001 (ECCV (17), 2020)

PieNet: Personalized Image Enhancement Network. - Han-Ul Kim 001; Yeong Jun Koh; Chang-Su Kim 001 (ECCV (30), 2020)

Global and Local Enhancement Networks for Paired and Unpaired Image Enhancement. - Han-Ul Kim 001; Yeong Jun Koh; Chang-Su Kim 001 (ECCV (25), 2020)

Inter-image Affinity based Interactive Video Object Segmentation. - Yuk Heo; Yeong Jun Koh; Chang-Su Kim 001 (ICTC, 2020)

Instance-Level Future Motion Estimation in a Single Image Based on Ordinal Regression and Semi-Supervised Domain Adaptation. - Kyung-Rae Kim; Yeong Jun Koh; Chang-Su Kim 001 (IEEE Access, 2020)

Online Multiple Object Tracking Based on Open-Set Few-Shot Learning. - Han-Ul Kim 001; Yeong Jun Koh; Chang-Su Kim 001 (IEEE Access, 2020)

Unpaired Image Demoiréing Based on Cyclic Moiré Learning. - Hyunkook Park; Vien Gia An; Yeong Jun Koh; Chul Lee (APSIPA ASC, 2021)

Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps. - Yuk Heo; Yeong Jun Koh; Chang-Su Kim 001 (CVPR, 2021)

Representative Color Transform for Image Enhancement. - Hanul Kim 001; Su-Min Choi; Chang-Su Kim 001; Yeong Jun Koh (ICCV, 2021)

Multi-Scale Warping for Video Frame Interpolation. - Whan Choi; Yeong Jun Koh; Chang-Su Kim 001 (IEEE Access, 2021)

Light Field Super-Resolution via Adaptive Feature Remixing. - Keunsoo Ko; Yeong Jun Koh; Soonkeun Chang; Chang-Su Kim 001 (IEEE Trans. Image Process., 2021)

Local Memory Read-and-Comparator for Video Object Segmentation. - Yuk Heo; Yeong Jun Koh; Chang-Su Kim 001 (IEEE Access, 2022)

Unpaired Screen-Shot Image Demoiréing With Cyclic Moiré Learning. - Hyunkook Park; Vien Gia An; Hanul Kim 001; Yeong Jun Koh; Chul Lee (IEEE Access, 2022)

Light Field Image Super-Resolution Based on Multilevel Structures. - Hwa-Jong Park; Junho Shin; Hyunseop Kim; Yeong Jun Koh (IEEE Access, 2022)

Blind and Compact Denoising Network Based on Noise Order Learning. - Keunsoo Ko; Yeong Jun Koh; Chang-Su Kim 001 (IEEE Trans. Image Process., 2022)

BAAM: Monocular 3D pose and shape reconstruction with bi-contextual attention module and attention-guided modeling. - Hyo-Jun Lee; Hanul Kim 001; Su-Min Choi; Seong-Gyun Jeong; Yeong Jun Koh (CVPR, 2023)

Local Connectivity-Based Density Estimation for Face Clustering. - Junho Shin; Hyo-Jun Lee; Hyunseop Kim; Jong-Hyeon Baek; Daehyun Kim; Yeong Jun Koh (CVPR, 2023)

Luminance-aware Color Transform for Multiple Exposure Correction. - Jong-Hyeon Baek; Daehyun Kim; Su-Min Choi; Hyo-Jun Lee; Hanul Kim 001; Yeong Jun Koh (ICCV, 2023)

Context-Aware Seam Restoration for Image Extension. - Yuk Heo; Yeong Jun Koh; Changsu Kim 001 (VCIP, 2023)

Video Frame Interpolation Based on Symmetric and Asymmetric Motions. - Whan Choi; Yeong Jun Koh; Chang-Su Kim 001 (IEEE Access, 2023)

Joint Appearance and Motion Model With Temporal Transformer for Multiple Object Tracking. - Hyunseop Kim; Hyo-Jun Lee; Hanul Kim 001; Seong-Gyun Jeong; Yeong Jun Koh (IEEE Access, 2023)

Reference-based Burst Super-resolution. - Seonggwan Ko; Yeong Jun Koh; Donghyeon Cho (ACM Multimedia, 2024)

Image enhancement with intensity transformation on embedding space. - Hanul Kim 001; Yeji Jeon; Yeong Jun Koh (CAAI Trans. Intell. Technol., 2024)

GRAE-3DMOT: Geometry Relation-Aware Encoder for Online 3D Multi-Object Tracking. - Hyunseop Kim; Hyo-Jun Lee; Yonguk Lee; Jinu Lee; Hanul Kim 001; Yeong Jun Koh (CVPR, 2025)

SOAP: Vision-Centric 3D Semantic Scene Completion with Scene-Adaptive Decoder and Occluded Region-Aware View Projection. - Hyo-Jun Lee; Yeong Jun Koh; Hanul Kim 001; Hyunseop Kim; Yonguk Lee; Jinu Lee (CVPR, 2025)

MECFormer: Multiple Exposure Correction Transformer Based on Autoencoder. - Jong-Hyeon Baek; Hyo-Jun Lee; Hanul Kim 001; Yeong Jun Koh (IEEE Access, 2025)