Thinning deep neural networks for sketch recognition. - Pyunghwan Ahn; Dong-Hoon Shin; Junmo Kim 002 (APSIPA, 2016)

EDAS: Efficient and Differentiable Architecture Search. - Hyeong Gwon Hong; Pyunghwan Ahn; Junmo Kim 002 (CoRR, 2019)

PBP-Net: Point Projection and Back-Projection Network for 3D Point Cloud Segmentation. - JuYoung Yang; Chanho Lee; Pyunghwan Ahn; Haeil Lee; Eojindl Yi; Junmo Kim 002 (IROS, 2020)

Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning. - JuYoung Yang; Pyunghwan Ahn; Doyeon Kim; Haeil Lee; Junmo Kim 002 (ICCV, 2021)

Differentiable Architecture Search Based on Coordinate Descent. - Pyunghwan Ahn; Hyeong Gwon Hong; Junmo Kim 002 (IEEE Access, 2021)

Projection-Based Point Convolution for Efficient Point Cloud Segmentation. - Pyunghwan Ahn; JuYoung Yang; Eojindl Yi; Chanho Lee; Junmo Kim 002 (IEEE Access, 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)

NICE: CVPR 2023 Challenge on Zero-shot Image Captioning. - Taehoon Kim; Pyunghwan Ahn; Sangyun Kim; Sihaeng Lee; Mark Marsden; Alessandra Sala; Seung Hwan Kim; Bohyung Han; Kyoung Mu Lee; Honglak Lee; Kyounghoon Bae; Xiangyu Wu; et al. (CVPR Workshops, 2024)

Large-Scale Bidirectional Training for Zero-Shot Image Captioning. - Taehoon Kim; Mark Marsden; Pyunghwan Ahn; Sangyun Kim; Sihaeng Lee; Alessandra Sala; Seung Hwan Kim (CVPR Workshops, 2024)

Exploring the Spectrum of Visio-Linguistic Compositionality and Recognition. - Youngtaek Oh; Pyunghwan Ahn; Jinhyung Kim; Gwangmo Song; Soonyoung Lee; In So Kweon; Junmo Kim 002 (CoRR, 2024)

ContextMix: A context-aware data augmentation method for industrial visual inspection systems. - Hyungmin Kim 004; Donghun Kim; Pyunghwan Ahn; Sungho Suh; Hansang Cho; Junmo Kim 002 (Eng. Appl. Artif. Intell., 2024)