A QNAR-AGC estimator with reduced arithmetic complexity. - Won Lee; Kyu Park; Song Park (IEEE Trans. Acoust. Speech Signal Process., 1985)

Carry-Save Representation Is Shift-Unsafe: The Problem and Its Solution. - Alexandre F. Tenca; Song Park; Lo'ai Ali Tawalbeh (IEEE Trans. Computers, 2006)

Face Generation for Low-Shot Learning Using Generative Adversarial Networks. - Junsuk Choe; Song Park; Kyungmin Kim; Joo-Hyun Park; Dongseob Kim; Hyunjung Shim (ICCV Workshops, 2017)

Semantic-aware neural style transfer. - Joo-Hyun Park; Song Park; Hyunjung Shim (Image Vis. Comput., 2019)

Few-shot Font Generation with Localized Style Representations and Factorization. - Song Park; Sanghyuk Chun; Junbum Cha; Bado Lee; Hyunjung Shim (AAAI, 2021)

Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts. - Song Park; Sanghyuk Chun; Junbum Cha; Bado Lee; Hyunjung Shim (ICCV, 2021)

StyleAugment: Learning Texture De-biased Representations by Style Augmentation without Pre-defined Textures. - Sanghyuk Chun; Song Park (CoRR, 2021)

ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-verified Image-Caption Associations for MS-COCO. - Sanghyuk Chun; Wonjae Kim; Song Park; Minsuk Chang; Seong Joon Oh (ECCV (8), 2022)

Similarity of Neural Architectures Based on Input Gradient Transferability. - Jaehui Hwang; Dongyoon Han; Byeongho Heo; Song Park; Sanghyuk Chun; Jong-Seok Lee (CoRR, 2022)

SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage. - Song Park; Sanghyuk Chun; Byeongho Heo; Wonjae Kim; Sangdoo Yun (ICCV, 2023)

Forging Tokens for Improved Storage-efficient Training. - Minhyun Lee; Song Park; Byeongho Heo; Dongyoon Han; Hyunjung Shim (CoRR, 2023)

Rotary Position Embedding for Vision Transformer. - Byeongho Heo; Song Park; Dongyoon Han; Sangdoo Yun (ECCV (10), 2024)

Similarity of Neural Architectures Using Adversarial Attack Transferability. - Jaehui Hwang; Dongyoon Han; Byeongho Heo; Song Park; Sanghyuk Chun; Jong-Seok Lee (ECCV (68), 2024)

SeiT++: Masked Token Modeling Improves Storage-Efficient Training. - Minhyun Lee; Song Park; Byeongho Heo; Dongyoon Han; Hyunjung Shim (ECCV (28), 2024)

MaskRIS: Semantic Distortion-aware Data Augmentation for Referring Image Segmentation. - Minhyun Lee; Seungho Lee; Song Park; Dongyoon Han; Byeongho Heo; Hyunjung Shim (CoRR, 2024)

Few-Shot Font Generation With Weakly Supervised Localized Representations. - Song Park; Sanghyuk Chun; Junbum Cha; Bado Lee; Hyunjung Shim (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Probabilistic Language-Image Pre-Training. - Sanghyuk Chun; Wonjae Kim; Song Park; Sangdoo Yun (ICLR, 2025)

DNNs May Determine Major Properties of Their Outputs Early, with Timing Possibly Driven by Bias. - Song Park; Sanghyuk Chun; Byeongho Heo; Dongyoon Han (CoRR, 2025)