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

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

Generating a Fusion Image: One's Identity and Another's Shape. - Donggyu Joo; Doyeon Kim; Junmo Kim 002 (CVPR, 2018)

Residual Continual Learning. - Janghyeon Lee 001; Donggyu Joo; Hyeong Gwon Hong; Junmo Kim 002 (AAAI, 2020)

Continual Learning With Extended Kronecker-Factored Approximate Curvature. - Janghyeon Lee 001; Hyeong Gwon Hong; Donggyu Joo; Junmo Kim 002 (CVPR, 2020)

Slimming ResNet by Slimming Shortcut. - Donggyu Joo; Doyeon Kim; Junmo Kim 002 (ICPR, 2020)

Delivering Meaningful Representation for Monocular Depth Estimation. - Doyeon Kim; Donggyu Joo; Junmo Kim 002 (ICPR, 2020)

TiVGAN: Text to Image to Video Generation With Step-by-Step Evolutionary Generator. - Doyeon Kim; Donggyu Joo; Junmo Kim 002 (IEEE Access, 2020)

Linearly Replaceable Filters for Deep Network Channel Pruning. - Donggyu Joo; Eojindl Yi; Sunghyun Baek; Junmo Kim 002 (AAAI, 2021)

Linear Combination Approximation of Feature for Channel Pruning. - Donggyu Joo; Doyeon Kim; Eojindl Yi; Junmo Kim 002 (CVPR Workshops, 2022)

Which Metrics for Network Pruning: Final Accuracy? Or Accuracy Drop? - Donggyu Joo; Sunghyun Baek; Junmo Kim 002 (ICIP, 2022)

Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth. - Doyeon Kim; Woonghyun Ka; Pyunghwan Ahn; Donggyu Joo; Sewhan Chun; Junmo Kim 002 (CoRR, 2022)

Training Cartoonization Network without Cartoon. - Doyeon Kim; Dongyeun Lee; Donggyu Joo; Junmo Kim 002 (ICIP, 2023)