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2020 – today
- 2025
[j4]Taeeon Park
, Sangwon Jung, Sanghyuk Chun, Taesup Moon:
FairDRO: Group fairness regularization via classwise robust optimization. Neural Networks 182: 106891 (2025)- 2024
- [j3]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): 1479-1495 (2024) - [j2]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) - [c33]Geonmo Gu, Sanghyuk Chun, Wonjae Kim, Yoohoon Kang, Sangdoo Yun:
Language-only Efficient Training of Zero-shot Composed Image Retrieval. CVPR 2024: 13225-13234 - [c32]Jaehui Hwang, Dongyoon Han, Byeongho Heo, Song Park, Sanghyuk Chun, Jong-Seok Lee:
Similarity of Neural Architectures Using Adversarial Attack Transferability. ECCV (68) 2024: 106-126 - [c31]Wonjae Kim, Sanghyuk Chun, Taekyung Kim, Dongyoon Han, Sangdoo Yun:
HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts. ECCV (40) 2024: 247-265 - [c30]Taekyung Kim, Sanghyuk Chun, Byeongho Heo, Dongyoon Han:
Learning with Unmasked Tokens Drives Stronger Vision Learners. ECCV (34) 2024: 350-367 - [c29]Sanghyuk Chun:
Improved Probabilistic Image-Text Representations. ICLR 2024 - [c28]Sejun Park, Sanghyuk Chun, Wonyeol Lee:
What does automatic differentiation compute for neural networks? ICLR 2024 - [c27]Jungbeom Lee, Sanghyuk Chun, Sangdoo Yun:
Toward Interactive Regional Understanding in Vision-Large Language Models. NAACL-HLT 2024: 6416-6429 - [c26]Sangwon Jung, Sumin Yu, Sanghyuk Chun, Taesup Moon:
Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? - A Theoretical and Empirical Study. NeurIPS 2024 - [i43]Jungbeom Lee, Sanghyuk Chun, Sangdoo Yun:
Toward Interactive Regional Understanding in Vision-Large Language Models. CoRR abs/2403.18260 (2024) - [i42]Wonjae Kim, Sanghyuk Chun, Taekyung Kim, Dongyoon Han, Sangdoo Yun:
HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts. CoRR abs/2404.17507 (2024) - [i41]Jaeseok Byun, Seokhyeon Jeong, Wonjae Kim, Sanghyuk Chun, Taesup Moon:
Reducing Task Discrepancy of Text Encoders for Zero-Shot Composed Image Retrieval. CoRR abs/2406.09188 (2024) - [i40]Yujin Jeong, Yunji Kim, Sanghyuk Chun, Jiyoung Lee:
Read, Watch and Scream! Sound Generation from Text and Video. CoRR abs/2407.05551 (2024) - [i39]Sanghyuk Chun, Wonjae Kim, Song Park, Sangdoo Yun:
Probabilistic Language-Image Pre-Training. CoRR abs/2410.18857 (2024) - 2023
- [j1]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): 1732-1748 (2023) - [c25]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: 2755-2764 - [c24]Song Park, Sanghyuk Chun, Byeongho Heo, Wonjae Kim, Sangdoo Yun:
SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage. ICCV 2023: 17202-17213 - [c23]Sangwon Jung, Taeeon Park, Sanghyuk Chun, Taesup Moon:
Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization. ICLR 2023 - [i38]Sangwon Jung, Taeeon Park, Sanghyuk Chun, Taesup Moon:
Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization. CoRR abs/2303.00442 (2023) - [i37]Song Park, Sanghyuk Chun, Byeongho Heo, Wonjae Kim, Sangdoo Yun:
SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage. CoRR abs/2303.11114 (2023) - [i36]Geonmo Gu, Sanghyuk Chun, Wonjae Kim, HeeJae Jun, Yoohoon Kang, Sangdoo Yun:
CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion. CoRR abs/2303.11916 (2023) - [i35]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 abs/2304.04875 (2023) - [i34]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 abs/2304.10727 (2023) - [i33]Sanghyuk Chun:
Improved Probabilistic Image-Text Representations. CoRR abs/2305.18171 (2023) - [i32]Taekyung Kim, Sanghyuk Chun, Byeongho Heo, Dongyoon Han:
Longer-range Contextualized Masked Autoencoder. CoRR abs/2310.13593 (2023) - [i31]Geonmo Gu, Sanghyuk Chun, Wonjae Kim, Yoohoon Kang, Sangdoo Yun:
Language-only Efficient Training of Zero-shot Composed Image Retrieval. CoRR abs/2312.01998 (2023) - 2022
- [c22]Sangwon Jung, Sanghyuk Chun, Taesup Moon:
Learning Fair Classifiers with Partially Annotated Group Labels. CVPR 2022: 10338-10347 - [c21]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: 1-19 - [c20]Junbum Cha, Kyungjae Lee, Sungrae Park, Sanghyuk Chun:
Domain Generalization by Mutual-Information Regularization with Pre-trained Models. ECCV (23) 2022: 440-457 - [c19]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 - [c18]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 - [c17]Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon:
Dataset Condensation with Contrastive Signals. ICML 2022: 12352-12364 - [c16]Chanwoo Park, Sangdoo Yun, Sanghyuk Chun:
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective. NeurIPS 2022 - [i30]Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon:
Dataset Condensation with Contrastive Signals. CoRR abs/2202.02916 (2022) - [i29]Junbum Cha, Kyungjae Lee, Sungrae Park, Sanghyuk Chun:
Domain Generalization by Mutual-Information Regularization with Pre-trained Models. CoRR abs/2203.10789 (2022) - [i28]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 abs/2204.03359 (2022) - [i27]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 abs/2204.07962 (2022) - [i26]Chanwoo Park, Sangdoo Yun, Sanghyuk Chun:
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective. CoRR abs/2208.09913 (2022) - [i25]Jaehui Hwang, Dongyoon Han, Byeongho Heo, Song Park, Sanghyuk Chun, Jong-Seok Lee:
Similarity of Neural Architectures Based on Input Gradient Transferability. CoRR abs/2210.11407 (2022) - [i24]Byungsoo Ko, Han-Gyu Kim, Byeongho Heo, Sangdoo Yun, Sanghyuk Chun, Geonmo Gu, Wonjae Kim:
Group Generalized Mean Pooling for Vision Transformer. CoRR abs/2212.04114 (2022) - 2021
- [c15]Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim:
Few-shot Font Generation with Localized Style Representations and Factorization. AAAI 2021: 2393-2402 - [c14]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: 2340-2350 - [c13]Sanghyuk Chun, Seong Joon Oh, Rafael Sampaio de Rezende, Yannis Kalantidis, Diane Larlus:
Probabilistic Embeddings for Cross-Modal Retrieval. CVPR 2021: 8415-8424 - [c12]Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh:
Rethinking Spatial Dimensions of Vision Transformers. ICCV 2021: 11916-11925 - [c11]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: 13880-13889 - [c10]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 - [c9]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: 9977-9989 - [c8]Junbum Cha, Sanghyuk Chun, Kyungjae Lee, Han-Cheol Cho, Seunghyun Park, Yunsung Lee, Sungrae Park:
SWAD: Domain Generalization by Seeking Flat Minima. NeurIPS 2021: 22405-22418 - [i23]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 abs/2101.05022 (2021) - [i22]Sanghyuk Chun, Seong Joon Oh, Rafael Sampaio de Rezende, Yannis Kalantidis, Diane Larlus:
Probabilistic Embeddings for Cross-Modal Retrieval. CoRR abs/2101.05068 (2021) - [i21]Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh:
Rethinking Spatial Dimensions of Vision Transformers. CoRR abs/2103.16302 (2021) - [i20]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 abs/2104.00887 (2021) - [i19]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 abs/2106.04165 (2021) - [i18]Sanghyuk Chun, Song Park:
StyleAugment: Learning Texture De-biased Representations by Style Augmentation without Pre-defined Textures. CoRR abs/2108.10549 (2021) - [i17]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 abs/2110.03095 (2021) - [i16]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 abs/2110.03921 (2021) - [i15]Sangwon Jung, Sanghyuk Chun, Taesup Moon:
Learning Fair Classifiers with Partially Annotated Group Labels. CoRR abs/2111.14581 (2021) - [i14]Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim:
Few-shot Font Generation with Weakly Supervised Localized Representations. CoRR abs/2112.11895 (2021) - 2020
- [c7]Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim:
Evaluating Weakly Supervised Object Localization Methods Right. CVPR 2020: 3130-3139 - [c6]Junbum Cha, Sanghyuk Chun, Gayoung Lee, Bado Lee, Seonghyeon Kim, Hwalsuk Lee:
Few-Shot Compositional Font Generation with Dual Memory. ECCV (19) 2020: 735-751 - [c5]Minz Won, Sanghyuk Chun, Oriol Nieto, Xavier Serra:
Data-Driven Harmonic Filters for Audio Representation Learning. ICASSP 2020: 536-540 - [c4]Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh:
Learning De-biased Representations with Biased Representations. ICML 2020: 528-539 - [i13]Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim:
Evaluating Weakly Supervised Object Localization Methods Right. CoRR abs/2001.07437 (2020) - [i12]Sanghyuk Chun, Seong Joon Oh, Sangdoo Yun, Dongyoon Han, Junsuk Choe, Youngjoon Yoo:
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods. CoRR abs/2003.03879 (2020) - [i11]Junbum Cha, Sanghyuk Chun, Gayoung Lee, Bado Lee, Seonghyeon Kim, Hwalsuk Lee:
Few-shot Compositional Font Generation with Dual Memory. CoRR abs/2005.10510 (2020) - [i10]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 abs/2006.08217 (2020) - [i9]Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim:
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. CoRR abs/2007.04178 (2020) - [i8]Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim:
Few-shot Font Generation with Localized Style Representations and Factorization. CoRR abs/2009.11042 (2020)
2010 – 2019
- 2019
- [c3]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: 6022-6031 - [c2]Jaejun Yoo, Youngjung Uh, Sanghyuk Chun, Byeongkyu Kang, Jung-Woo Ha:
Photorealistic Style Transfer via Wavelet Transforms. ICCV 2019: 9035-9044 - [i7]Jaejun Yoo, Youngjung Uh, Sanghyuk Chun, Byeongkyu Kang, Jung-Woo Ha:
Photorealistic Style Transfer via Wavelet Transforms. CoRR abs/1903.09760 (2019) - [i6]Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, Youngjoon Yoo:
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features. CoRR abs/1905.04899 (2019) - [i5]Minz Won, Sanghyuk Chun, Xavier Serra:
Toward Interpretable Music Tagging with Self-Attention. CoRR abs/1906.04972 (2019) - [i4]Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh:
Learning De-biased Representations with Biased Representations. CoRR abs/1910.02806 (2019) - [i3]Young Joon Yoo, Sanghyuk Chun, Sangdoo Yun, Jung-Woo Ha, Jaejun Yoo:
Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling. CoRR abs/1910.06705 (2019) - [i2]Minz Won, Sanghyuk Chun, Xavier Serra:
Visualizing and Understanding Self-attention based Music Tagging. CoRR abs/1911.04385 (2019) - 2018
- [i1]Jang-Hyun Kim, Jaejun Yoo, Sanghyuk Chun, Adrian Kim, Jung-Woo Ha:
Multi-Domain Processing via Hybrid Denoising Networks for Speech Enhancement. CoRR abs/1812.08914 (2018) - 2017
- [c1]Hyunjong Lee, Youngin Jo, Sanghyuk Chun, Kwangseob Kim:
A study on intelligent personalized push notification with user history. IEEE BigData 2017: 1475-1482
Coauthor Index
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