Speaker Dependent Visual Speech Recognition by Symbol and Real Value Assignment. - Jeongwoo Ju; Heechul Jung; Junmo Kim 002 (RiTA, 2012)

Speaker dependent visual speech recognition using Extended Curvature Gabor filters. - Jeongwoo Ju; Heechul Jung; Junmo Kim 002 (ICCE, 2013)

Rigid Motion Segmentation Using Randomized Voting. - Heechul Jung; Jeongwoo Ju; Junmo Kim 002 (CVPR, 2014)

Image Classification Using Convolutional Neural Networks With Multi-stage Feature. - Junho Yim; Jeongwoo Ju; Heechul Jung; Junmo Kim 002 (RiTA, 2014)

A new control owner switching system for multiple TV viewers via face recognition. - Jeongwoo Ju; Dongwoon Han; Jiwhan Kim; Injae Lee; Jihun Cha; Junmo Kim 002 (ICCE, 2015)

Less-forgetting Learning in Deep Neural Networks. - Heechul Jung; Jeongwoo Ju; Minju Jung; Junmo Kim 002 (CoRR, 2016)

An Exploration of the Power of Max Switch Locations in CNNs. - Jeongwoo Ju; Junho Yim; Sihaeng Lee; Junmo Kim 002 (RiTA, 2017)

Less-Forgetful Learning for Domain Expansion in Deep Neural Networks. - Heechul Jung; Jeongwoo Ju; Minju Jung; Junmo Kim 002 (AAAI, 2018)

Refining background subtraction using consistent motion detection in adverse weather. - Heechul Jung; Jeongwoo Ju; Wonjun Hwang; Junmo Kim 002 (J. Electronic Imaging, 2019)

Randomized Voting-Based Rigid-Body Motion Segmentation. - Heechul Jung; Jeongwoo Ju; Junmo Kim 002 (IEEE Trans. Circuits Syst. Video Technol., 2019)

Rethinking Query, Key, and Value Embedding in Vision Transformer under Tiny Model Constraints. - Jaesin Ahn; Jiuk Hong; Jeongwoo Ju; Heechul Jung (CoRR, 2021)

Extending Contrastive Learning to Unsupervised Coreset Selection. - Jeongwoo Ju; Heechul Jung; Yoonju Oh; Junmo Kim 002 (IEEE Access, 2022)

Training data reduction for deep learning-based image classifications using random sample consensus. - Heechul Jung; Jeongwoo Ju (J. Electronic Imaging, 2022)

Semantic Map Guided Synthesis of Wireless Capsule Endoscopy Images using Diffusion Models. - Haejin Lee; Jeongwoo Ju; Jonghyuck Lee; Yeoun Joo Lee; Heechul Jung (CoRR, 2023)