Sanghyuk Chun

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 73

Top Topics

Regularization Methods

Image Retrieval

Top Venues

Publications

Sanghyuk Chun
Improved Probabilistic Image-Text Representations. ICLR (2024)
Jungbeom Lee, Sanghyuk Chun, Sangdoo Yun
Toward Interactive Regional Understanding in Vision-Large Language Models. CoRR (2024)
Geonmo Gu, Sanghyuk Chun, Wonjae Kim, HeeJae Jun, Yoohoon Kang, Sangdoo Yun
CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion. Trans. Mach. Learn. Res. 2024 (2024)
Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim
Few-Shot Font Generation With Weakly Supervised Localized Representations. IEEE Trans. Pattern Anal. Mach. Intell. 46 (3) (2024)
Yujin Jeong, Yunji Kim, Sanghyuk Chun, Jiyoung Lee
Read, Watch and Scream! Sound Generation from Text and Video. CoRR (2024)
Sejun Park, Sanghyuk Chun, Wonyeol Lee
What does automatic differentiation compute for neural networks? ICLR (2024)
Jungbeom Lee, Sanghyuk Chun, Sangdoo Yun
Toward Interactive Regional Understanding in Vision-Large Language Models. NAACL-HLT (2024)
Jaeseok Byun, Seokhyeon Jeong, Wonjae Kim, Sanghyuk Chun, Taesup Moon
Reducing Task Discrepancy of Text Encoders for Zero-Shot Composed Image Retrieval. CoRR (2024)
Wonjae Kim, Sanghyuk Chun, Taekyung Kim, Dongyoon Han, Sangdoo Yun
HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts. CoRR (2024)
Sangwon Jung, Taeeon Park, Sanghyuk Chun, Taesup Moon
Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization. CoRR (2023)
Gyeongsik Moon, Hongsuk Choi, Sanghyuk Chun, Jiyoung Lee, Sangdoo Yun
Three Recipes for Better 3D Pseudo-GTs of 3D Human Mesh Estimation in the Wild. CVPR Workshops (2023)
Sanghyuk Chun
Improved Probabilistic Image-Text Representations. CoRR (2023)
Seulki Park, Daeho Um, Hajung Yoon, Sanghyuk Chun, Sangdoo Yun, Jin Young Choi
RoCOCO: Robust Benchmark MS-COCO to Stress-test Robustness of Image-Text Matching Models. CoRR (2023)
Song Park, Sanghyuk Chun, Byeongho Heo, Wonjae Kim, Sangdoo Yun
SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage. CoRR (2023)
Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Seungho Lee, Zeynep Akata, Hyunjung Shim
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Taekyung Kim, Sanghyuk Chun, Byeongho Heo, Dongyoon Han
Longer-range Contextualized Masked Autoencoder. CoRR (2023)
Geonmo Gu, Sanghyuk Chun, Wonjae Kim, HeeJae Jun, Yoohoon Kang, Sangdoo Yun
CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion. CoRR (2023)
Song Park, Sanghyuk Chun, Byeongho Heo, Wonjae Kim, Sangdoo Yun
SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage. ICCV (2023)
Sangwon Jung, Taeeon Park, Sanghyuk Chun, Taesup Moon
Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization. ICLR (2023)
Gyeongsik Moon, Hongsuk Choi, Sanghyuk Chun, Jiyoung Lee, Sangdoo Yun
Three Recipes for Better 3D Pseudo-GTs of 3D Human Mesh Estimation in the Wild. CoRR (2023)
Geonmo Gu, Sanghyuk Chun, Wonjae Kim, Yoohoon Kang, Sangdoo Yun
Language-only Efficient Training of Zero-shot Composed Image Retrieval. CoRR (2023)
Sanghyuk Chun, Wonjae Kim, Song Park, Minsuk Chang, Seong Joon Oh
ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-verified Image-Caption Associations for MS-COCO. CoRR (2022)
Chanwoo Park, Sangdoo Yun, Sanghyuk Chun
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective. NeurIPS (2022)
Jaehui Hwang, Dongyoon Han, Byeongho Heo, Song Park, Sanghyuk Chun, Jong-Seok Lee
Similarity of Neural Architectures Based on Input Gradient Transferability. CoRR (2022)
Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon
Dataset Condensation with Contrastive Signals. CoRR (2022)
Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon
Dataset Condensation with Contrastive Signals. ICML (2022)
Sanghyuk Chun, Wonjae Kim, Song Park, Minsuk Chang, Seong Joon Oh
ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-verified Image-Caption Associations for MS-COCO. ECCV (8) (2022)
Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang
ViDT: An Efficient and Effective Fully Transformer-based Object Detector. ICLR (2022)
Chanwoo Park, Sangdoo Yun, Sanghyuk Chun
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective. CoRR (2022)
Luca Scimeca, Seong Joon Oh, Sanghyuk Chun, Michael Poli, Sangdoo Yun
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective. ICLR (2022)
Junbum Cha, Kyungjae Lee, Sungrae Park, Sanghyuk Chun
Domain Generalization by Mutual-Information Regularization with Pre-trained Models. CoRR (2022)
Junbum Cha, Kyungjae Lee, Sungrae Park, Sanghyuk Chun
Domain Generalization by Mutual-Information Regularization with Pre-trained Models. ECCV (23) (2022)
Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang
An Extendable, Efficient and Effective Transformer-based Object Detector. CoRR (2022)
Sangwon Jung, Sanghyuk Chun, Taesup Moon
Learning Fair Classifiers with Partially Annotated Group Labels. CVPR (2022)
Byungsoo Ko, Han-Gyu Kim, Byeongho Heo, Sangdoo Yun, Sanghyuk Chun, Geonmo Gu, Wonjae Kim
Group Generalized Mean Pooling for Vision Transformer. CoRR (2022)
Junbum Cha, Sanghyuk Chun, Kyungjae Lee, Han-Cheol Cho, Seunghyun Park, Yunsung Lee, Sungrae Park
SWAD: Domain Generalization by Seeking Flat Minima. NeurIPS (2021)
Sanghyuk Chun, Seong Joon Oh, Rafael Sampaio de Rezende, Yannis Kalantidis, Diane Larlus
Probabilistic Embeddings for Cross-Modal Retrieval. CVPR (2021)
Luca Scimeca, Seong Joon Oh, Sanghyuk Chun, Michael Poli, Sangdoo Yun
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective. CoRR (2021)
Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang
ViDT: An Efficient and Effective Fully Transformer-based Object Detector. CoRR (2021)
Michael Poli, Stefano Massaroli, Luca Scimeca, Sanghyuk Chun, Seong Joon Oh, Atsushi Yamashita, Hajime Asama, Jinkyoo Park, Animesh Garg
Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions. NeurIPS (2021)
Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim
Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts. CoRR (2021)
Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim
Few-shot Font Generation with Weakly Supervised Localized Representations. CoRR (2021)
Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Junsuk Choe, Sanghyuk Chun
Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels. CVPR (2021)
Sanghyuk Chun, Song Park
StyleAugment: Learning Texture De-biased Representations by Style Augmentation without Pre-defined Textures. CoRR (2021)
Michael Poli, Stefano Massaroli, Luca Scimeca, Seong Joon Oh, Sanghyuk Chun, Atsushi Yamashita, Hajime Asama, Jinkyoo Park, Animesh Garg
Neural Hybrid Automata: Learning Dynamics with Multiple Modes and Stochastic Transitions. CoRR (2021)
Sangwon Jung, Sanghyuk Chun, Taesup Moon
Learning Fair Classifiers with Partially Annotated Group Labels. CoRR (2021)
Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh
Rethinking Spatial Dimensions of Vision Transformers. CoRR (2021)
Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Junsuk Choe, Sanghyuk Chun
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels. CoRR (2021)
Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim
Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts. ICCV (2021)
Sanghyuk Chun, Seong Joon Oh, Rafael Sampaio de Rezende, Yannis Kalantidis, Diane Larlus
Probabilistic Embeddings for Cross-Modal Retrieval. CoRR (2021)
Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim
Few-shot Font Generation with Localized Style Representations and Factorization. AAAI (2021)
Byeongho Heo, Sanghyuk Chun, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Gyuwan Kim, Youngjung Uh, Jung-Woo Ha
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights. ICLR (2021)
Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh
Rethinking Spatial Dimensions of Vision Transformers. ICCV (2021)
Minz Won, Sanghyuk Chun, Oriol Nieto, Xavier Serra
Data-Driven Harmonic Filters for Audio Representation Learning. ICASSP (2020)
Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim
Evaluating Weakly Supervised Object Localization Methods Right. CVPR (2020)
Junbum Cha, Sanghyuk Chun, Gayoung Lee, Bado Lee, Seonghyeon Kim, Hwalsuk Lee
Few-Shot Compositional Font Generation with Dual Memory. ECCV (19) (2020)
Byeongho Heo, Sanghyuk Chun, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Youngjung Uh, Jung-Woo Ha
Slowing Down the Weight Norm Increase in Momentum-based Optimizers. CoRR (2020)
Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh
Learning De-biased Representations with Biased Representations. ICML (2020)
Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim
Evaluating Weakly Supervised Object Localization Methods Right. CoRR (2020)
Sanghyuk Chun, Seong Joon Oh, Sangdoo Yun, Dongyoon Han, Junsuk Choe, Youngjoon Yoo
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods. CoRR (2020)
Junbum Cha, Sanghyuk Chun, Gayoung Lee, Bado Lee, Seonghyeon Kim, Hwalsuk Lee
Few-shot Compositional Font Generation with Dual Memory. CoRR (2020)
Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. CoRR (2020)
Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim
Few-shot Font Generation with Localized Style Representations and Factorization. CoRR (2020)
Young Joon Yoo, Sanghyuk Chun, Sangdoo Yun, Jung-Woo Ha, Jaejun Yoo
Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling. CoRR (2019)
Minz Won, Sanghyuk Chun, Xavier Serra
Toward Interpretable Music Tagging with Self-Attention. CoRR (2019)
Jaejun Yoo, Youngjung Uh, Sanghyuk Chun, Byeongkyu Kang, Jung-Woo Ha
Photorealistic Style Transfer via Wavelet Transforms. CoRR (2019)
Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Seong Joon Oh, Youngjoon Yoo, Junsuk Choe
CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features. ICCV (2019)
Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, Youngjoon Yoo
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features. CoRR (2019)
Jaejun Yoo, Youngjung Uh, Sanghyuk Chun, Byeongkyu Kang, Jung-Woo Ha
Photorealistic Style Transfer via Wavelet Transforms. ICCV (2019)
Minz Won, Sanghyuk Chun, Xavier Serra
Visualizing and Understanding Self-attention based Music Tagging. CoRR (2019)
Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh
Learning De-biased Representations with Biased Representations. CoRR (2019)
Jang-Hyun Kim, Jaejun Yoo, Sanghyuk Chun, Adrian Kim, Jung-Woo Ha
Multi-Domain Processing via Hybrid Denoising Networks for Speech Enhancement. CoRR (2018)
Hyunjong Lee, Youngin Jo, Sanghyuk Chun, Kwangseob Kim
A study on intelligent personalized push notification with user history. IEEE BigData (2017)