3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions. - Dong Wook Shu; Sung Woo Park; Junseok Kwon (ICCV, 2019)

Deep Diffusion-Invariant Wasserstein Distributional Classification. - Sung Woo Park; Dong Wook Shu; Junseok Kwon (NeurIPS, 2020)

Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation. - Sung Woo Park; Dong Wook Shu; Junseok Kwon (ICML, 2021)

Robust person re-identification via graph convolution networks. - Guisik Kim; Dong Wook Shu; Junseok Kwon (Multim. Tools Appl., 2021)

Deep-plane sweep generative adversarial network for consistent multi-view depth estimation. - Dong Wook Shu; Wonbeom Jang; Heebin Yoo; Hong-Chang Shin; Junseok Kwon (Mach. Vis. Appl., 2022)

Wasserstein distributional harvesting for highly dense 3D point clouds. - Dong Wook Shu; Sung Woo Park; Junseok Kwon (Pattern Recognit., 2022)

Localized curvature-based combinatorial subgraph sampling for large-scale graphs. - Dong Wook Shu; Youjin Kim; Junseok Kwon (Pattern Recognit., 2023)

Hierarchical Bidirected Graph Convolutions for Large-Scale 3-D Point Cloud Place Recognition. - Dong Wook Shu; Junseok Kwon (IEEE Trans. Neural Networks Learn. Syst., 2024)