A study on intelligent personalized push notification with user history. - Hyunjong Lee; Youngin Jo; Sanghyuk Chun; Kwangseob Kim (IEEE BigData, 2017)

Multi-Domain Processing via Hybrid Denoising Networks for Speech Enhancement. - Jang-Hyun Kim; Jaejun Yoo 001; Sanghyuk Chun; Adrian Kim; Jung-Woo Ha 001 (CoRR, 2018)

Photorealistic Style Transfer via Wavelet Transforms. - Jaejun Yoo 001; Youngjung Uh; Sanghyuk Chun; Byeongkyu Kang; Jung-Woo Ha 001 (ICCV, 2019)

CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features. - Sangdoo Yun; Dongyoon Han; Sanghyuk Chun; Seong Joon Oh; Youngjoon Yoo; Junsuk Choe (ICCV, 2019)

Toward Interpretable Music Tagging with Self-Attention. - Minz Won; Sanghyuk Chun; Xavier Serra (CoRR, 2019)

Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling. - Young Joon Yoo; Sanghyuk Chun; Sangdoo Yun; Jung-Woo Ha 001; Jaejun Yoo 001 (CoRR, 2019)

Visualizing and Understanding Self-attention based Music Tagging. - Minz Won; Sanghyuk Chun; Xavier Serra (CoRR, 2019)

Evaluating Weakly Supervised Object Localization Methods Right. - Junsuk Choe; Seong Joon Oh; Seungho Lee; Sanghyuk Chun; Zeynep Akata; Hyunjung Shim (CVPR, 2020)

Few-Shot Compositional Font Generation with Dual Memory. - Junbum Cha; Sanghyuk Chun; Gayoung Lee; Bado Lee; Seonghyeon Kim; Hwalsuk Lee (ECCV (19), 2020)

Data-Driven Harmonic Filters for Audio Representation Learning. - Minz Won; Sanghyuk Chun; Oriol Nieto; Xavier Serra (ICASSP, 2020)

Learning De-biased Representations with Biased Representations. - Hyojin Bahng; Sanghyuk Chun; Sangdoo Yun; Jaegul Choo; Seong Joon Oh (ICML, 2020)

An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods. - Sanghyuk Chun; Seong Joon Oh; Sangdoo Yun; Dongyoon Han; Junsuk Choe; Youngjoon Yoo (CoRR, 2020)

Slowing Down the Weight Norm Increase in Momentum-based Optimizers. - Byeongho Heo; Sanghyuk Chun; Seong Joon Oh; Dongyoon Han; Sangdoo Yun; Youngjung Uh; Jung-Woo Ha 001 (CoRR, 2020)

Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. - Junsuk Choe; Seong Joon Oh; Sanghyuk Chun; Zeynep Akata; Hyunjung Shim (CoRR, 2020)

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

Probabilistic Embeddings for Cross-Modal Retrieval. - Sanghyuk Chun; Seong Joon Oh; Rafael Sampaio de Rezende; Yannis Kalantidis; Diane Larlus (CVPR, 2021)

Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels. - Sangdoo Yun; Seong Joon Oh; Byeongho Heo; Dongyoon Han; Junsuk Choe; Sanghyuk Chun (CVPR, 2021)

Rethinking Spatial Dimensions of Vision Transformers. - Byeongho Heo; Sangdoo Yun; Dongyoon Han; Sanghyuk Chun; Junsuk Choe; Seong Joon Oh (ICCV, 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)

AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights. - Byeongho Heo; Sanghyuk Chun; Seong Joon Oh; Dongyoon Han; Sangdoo Yun; Gyuwan Kim; Youngjung Uh; Jung-Woo Ha 001 (ICLR, 2021)

SWAD: Domain Generalization by Seeking Flat Minima. - Junbum Cha; Sanghyuk Chun; Kyungjae Lee; Han-Cheol Cho; Seunghyun Park 001; Yunsung Lee; Sungrae Park (NeurIPS, 2021)

Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions. - Michael Poli; Stefano Massaroli; Luca Scimeca; Sanghyuk Chun; Seong Joon Oh; Atsushi Yamashita; Hajime Asama; Jinkyoo Park; Animesh Garg (NeurIPS, 2021)

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

Learning Fair Classifiers with Partially Annotated Group Labels. - Sangwon Jung; Sanghyuk Chun; Taesup Moon (CVPR, 2022)

Domain Generalization by Mutual-Information Regularization with Pre-trained Models. - Junbum Cha; Kyungjae Lee 001; Sungrae Park; Sanghyuk Chun (ECCV (23), 2022)

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)

Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective. - Luca Scimeca; Seong Joon Oh; Sanghyuk Chun; Michael Poli; Sangdoo Yun (ICLR, 2022)

ViDT: An Efficient and Effective Fully Transformer-based Object Detector. - Hwanjun Song; Deqing Sun; Sanghyuk Chun; Varun Jampani; Dongyoon Han; Byeongho Heo; Wonjae Kim; Ming-Hsuan Yang 001 (ICLR, 2022)

Dataset Condensation with Contrastive Signals. - Saehyung Lee; Sanghyuk Chun; Sangwon Jung; Sangdoo Yun; Sungroh Yoon (ICML, 2022)

A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective. - Chanwoo Park; Sangdoo Yun; Sanghyuk Chun (NeurIPS, 2022)

An Extendable, Efficient and Effective Transformer-based Object Detector. - Hwanjun Song; Deqing Sun; Sanghyuk Chun; Varun Jampani; Dongyoon Han; Byeongho Heo; Wonjae Kim; Ming-Hsuan Yang 001 (CoRR, 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)

Group Generalized Mean Pooling for Vision Transformer. - Byungsoo Ko; Han-Gyu Kim; Byeongho Heo; Sangdoo Yun; Sanghyuk Chun; Geonmo Gu; Wonjae Kim (CoRR, 2022)

Three Recipes for Better 3D Pseudo-GTs of 3D Human Mesh Estimation in the Wild. - Gyeongsik Moon; Hongsuk Choi; Sanghyuk Chun; Jiyoung Lee; Sangdoo Yun (CVPR Workshops, 2023)

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

Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization. - Sangwon Jung; Taeeon Park; Sanghyuk Chun; Taesup Moon (ICLR, 2023)

RoCOCO: Robust Benchmark MS-COCO to Stress-test Robustness of Image-Text Matching Models. - Seulki Park; Daeho Um; Hajung Yoon; Sanghyuk Chun; Sangdoo Yun; Jin Young Choi 002 (CoRR, 2023)

Longer-range Contextualized Masked Autoencoder. - Taekyung Kim 002; Sanghyuk Chun; Byeongho Heo; Dongyoon Han (CoRR, 2023)

Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. - Junsuk Choe; Seong Joon Oh; Sanghyuk Chun; Seungho Lee; Zeynep Akata; Hyunjung Shim (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Language-only Efficient Training of Zero-shot Composed Image Retrieval. - Geonmo Gu; Sanghyuk Chun; Wonjae Kim; Yoohoon Kang; Sangdoo Yun (CVPR, 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)

Learning with Unmasked Tokens Drives Stronger Vision Learners. - Taekyung Kim 002; Sanghyuk Chun; Byeongho Heo; Dongyoon Han (ECCV (34), 2024)

HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts. - Wonjae Kim; Sanghyuk Chun; Taekyung Kim 002; Dongyoon Han; Sangdoo Yun (ECCV (40), 2024)

RoCOCO: Robustness Benchmark of MS-COCO to Stress-Test Image-Text Matching Models. - Seulki Park; Daeho Um; Hajung Yoon; Sanghyuk Chun; Sangdoo Yun (ECCV Workshops (20), 2024)

Improved Probabilistic Image-Text Representations. - Sanghyuk Chun (ICLR, 2024)

What does automatic differentiation compute for neural networks? - Sejun Park; Sanghyuk Chun; Wonyeol Lee 001 (ICLR, 2024)

Toward Interactive Regional Understanding in Vision-Large Language Models. - Jungbeom Lee; Sanghyuk Chun; Sangdoo Yun (NAACL-HLT, 2024)

Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? - A Theoretical and Empirical Study. - Sangwon Jung; Sumin Yu; Sanghyuk Chun; Taesup Moon (NeurIPS, 2024)

Reducing Task Discrepancy of Text Encoders for Zero-Shot Composed Image Retrieval. - Jaeseok Byun; Seokhyeon Jeong; Wonjae Kim; Sanghyuk Chun; Taesup Moon (CoRR, 2024)

CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion. - Geonmo Gu; Sanghyuk Chun; Wonjae Kim; HeeJae Jun; Yoohoon Kang; Sangdoo Yun (Trans. Mach. Learn. Res., 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)

Read, Watch and Scream! Sound Generation from Text and Video. - Yujin Jeong; Yunji Kim; Sanghyuk Chun; Jiyoung Lee (AAAI, 2025)

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

FairDRO: Group fairness regularization via classwise robust optimization. - Taeeon Park; Sangwon Jung; Sanghyuk Chun; Taesup Moon (Neural Networks, 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)

LongProLIP: A Probabilistic Vision-Language Model with Long Context Text. - Sanghyuk Chun; Sangdoo Yun (CoRR, 2025)

Multiplicity is an Inevitable and Inherent Challenge in Multimodal Learning. - Sanghyuk Chun (CoRR, 2025)

Emergence of Text Readability in Vision Language Models. - Jaeyoo Park; Sanghyuk Chun; Wonjae Kim; Sangdoo Yun; Bohyung Han (CoRR, 2025)

Mitigating Cross-Image Information Leakage in LVLMs for Multi-Image Tasks. - Yeji Park; Minyoung Lee; Sanghyuk Chun; Junsuk Choe (CoRR, 2025)