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

Rotating your face using multi-task deep neural network. - Junho Yim; Heechul Jung; ByungIn Yoo; Changkyu Choi; Du-Sik Park; Junmo Kim 002 (CVPR, 2015)

Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition. - Heechul Jung; Sihaeng Lee; Junho Yim; Sunjeong Park; Junmo Kim 002 (ICCV, 2015)

Entropy Minimization for Groupwise Planar Shape Co-alignment and its Applications. - Youngwook Kee; Hansang Lee; Junho Yim; Daniel Cremers; Junmo Kim 002 (IEEE Signal Process. Lett., 2015)

A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning. - Junho Yim; Donggyu Joo; Ji-Hoon Bae; Junmo Kim 002 (CVPR, 2017)

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

Unconstrained Control of Feature Map Size Using Non-integer Strided Sampling. - Donggyu Joo; Junho Yim; Junmo Kim 002 (BMVC, 2018)

Highway Driving Dataset for Semantic Video Segmentation. - Byungju Kim; Junho Yim; Junmo Kim (BMVC, 2018)

Sequential Knowledge Transfer in Teacher-Student Framework Using Densely Distilled Flow-Based Information. - Doyeob Yeo; Ji-Hoon Bae; Nae-Soo Kim; Cheol-Sik Pyo; Junho Yim; Junmo Kim 002 (ICIP, 2018)

NLNL: Negative Learning for Noisy Labels. - Youngdong Kim; Junho Yim; Juseung Yun; Junmo Kim 002 (ICCV, 2019)

Densely Distilled Flow-Based Knowledge Transfer in Teacher-Student Framework for Image Classification. - Ji-Hoon Bae; Doyeob Yeo; Junho Yim; Nae-Soo Kim; Cheol Sig Pyo; Junmo Kim 002 (IEEE Trans. Image Process., 2020)

Confidence Score for Source-Free Unsupervised Domain Adaptation. - Jonghyun Lee 004; Dahuin Jung; Junho Yim; Sungroh Yoon (ICML, 2022)

Hyperparameter Optimization with Neural Network Pruning. - Kangil Lee; Junho Yim (CoRR, 2022)

Mutual Learning for Long-Tailed Recognition. - Changhwa Park; Junho Yim; Eunji Jun (WACV, 2023)