Quality Analysis of Conditional Replenishment Algorithm for Hybrid 3DTV with Mixed Resolution. - Seung-Joo Lee; Jung-Sik Cho; Min-Suk Bang; Dong-Hee Lee; Hyun-Gon Choo; Sung-Hoon Kim 001; Jooyoung Lee 004; JinSoo Choi; Jinwoong Kim; Dong Wook Kang; Kyeong-Hoon Jung (ICHIT (1), 2012)

Development of fixed and mobile hybrid 3DTV for next generation terrestrial DTV. - Sung-Hoon Kim 001; Jooyoung Lee 004; Seyoon Jeong; JinSoo Choi; Jinwoong Kim (3DTV-Conference, 2013)

Bandwidth-efficient stereoscopic 3D broadcasting system utilizing mobile broadcast networks. - Jooyoung Lee 004; Sung-Hoon Kim 001; Seyoon Jeong; Jin Soo Choi; Jinwoong Kim (ICTC, 2013)

Subjective quality assessment of mixed-resolution stereoscopic videos in 3D broadcasting. - Jooyoung Lee 004; Sung-Hoon Kim 001; Seyoon Jeong; Jin Soo Choi; Jinwoong Kim (ICTC, 2014)

A Stereoscopic 3-D Broadcasting System Using Fixed and Mobile Hybrid Delivery and the Quality Assessment of the Mixed Resolution Stereoscopic Video. - Jooyoung Lee 004; Sung-Hoon Kim 001; Seyoon Jeong; JinSoo Choi; Dong Wook Kang; Kyeong-Hoon Jung; Jinwoong Kim (IEEE Trans. Broadcast., 2015)

GPU-based real-time super-resolution system for high-quality UHD video up-conversion. - Dae-Yeol Lee; Jooyoung Lee 004; Ji-Hoon Choi; Jong-Ok Kim; Hui Yong Kim; Jin Soo Choi (J. Supercomput., 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)

Context-adaptive Entropy Model for End-to-end Optimized Image Compression. - Jooyoung Lee 004; Seunghyun Cho; Seung-Kwon Beack (ICLR (Poster), 2019)

A Hybrid Architecture of Jointly Learning Image Compression and Quality Enhancement with Improved Entropy Minimization. - Jooyoung Lee 004; Seunghyun Cho; Munchurl Kim (CoRR, 2019)

A Training Method for Image Compression Networks to Improve Perceptual Quality of Reconstructions. - Jooyoung Lee 004; Donghyun Kim 017; Younhee Kim; Hyoungjin Kwon; Jongho Kim; Taejin Lee (CVPR Workshops, 2020)

Towards the Perceptual Quality Enhancement of Low Bit-rate Compressed Images. - Younhee Kim; Seunghyun Cho; Jooyoung Lee 004; Seyoon Jeong; Jin Soo Choi; Jihoon Do (CVPR Workshops, 2020)

Selective compression learning of latent representations for variable-rate image compression. - Jooyoung Lee 004; Seyoon Jeong; Munchurl Kim (NeurIPS, 2022)

COMPASS: High-Efficiency Deep Image Compression with Arbitrary-scale Spatial Scalability. - Jongmin Park; Jooyoung Lee 004; Munchurl Kim (ICCV, 2023)

Restoration of Extremely Compressed Background for VCM Using Guided Generative Priors. - Le Thi Hue Dao; An Gia Vien; Jooyoung Lee 004; Seyoon Jeong; Chul Lee (ICIP, 2023)

Pixel-Unshuffled Multi-level Feature Map Compression for FCVCM. - Younhee Kim; Se-Yoon Jeong; Jooyoung Lee 004; Jongseok Lee; Minsub Kim (VCIP, 2023)

An Advanced Multi-Scale Feature Compression using Selective Learning Strategy for Video Coding for Machines. - Yong-Uk Yoon; Gyu-Woong Han; Jooyoung Lee 004; Seyoon Jeong; Jae-Gon Kim (VCIP, 2023)

MEDO: Minimizing Effective Distortions Only for Machine-Oriented Visual Feature Compression. - Curie Yoon; Dalhong Lim; Yeongwoong Kim; Hyewon Jeong; Hui Yong Kim; Jooyoung Lee 004; Younhee Kim; Seyoon Jeong (VCIP, 2023)

An Efficient Multi-Scale Feature Compression With QP-Adaptive Feature Channel Truncation for Video Coding for Machines. - Yong-Uk Yoon; Dongha Kim; Jooyoung Lee 004; Byung Tae Oh; Jae-Gon Kim (IEEE Access, 2023)

Content-Aware Supervision For Diffusion-Based Restoration of Extremely Compressed Background For VCM. - Le Thi Hue Dao; An Gia Vien; Jooyoung Lee 004; Seyoon Jeong; Naeun Yang; Chul Lee (ICIP, 2024)

DeepHQ: Learned Hierarchical Quantizer for Progressive Deep Image Coding. - Jooyoung Lee 004; Se Yoon Jeong; Munchurl Kim (CoRR, 2024)

End-to-End Learnable Multi-Scale Feature Compression for VCM. - Yeongwoong Kim; Hyewon Jeong; Janghyun Yu; Younhee Kim; Jooyoung Lee 004; Seyoon Jeong; Hui Yong Kim (IEEE Trans. Circuits Syst. Video Technol., 2024)