Sanghyuk Chun

Orcid: 0000-0002-4533-2610

According to our database¹, Sanghyuk Chun authored at least 44 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Few-Shot Font Generation With Weakly Supervised Localized Representations.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Toward Interactive Regional Understanding in Vision-Large Language Models.

[BibT_eX]

[DOI]

Jungbeom Lee

Sanghyuk Chun

Sangdoo Yun

CoRR, 2024

2023

Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Language-only Efficient Training of Zero-shot Composed Image Retrieval.

[BibT_eX]

[DOI]

CoRR, 2023

Longer-range Contextualized Masked Autoencoder.

[BibT_eX]

[DOI]

CoRR, 2023

Improved Probabilistic Image-Text Representations.

[BibT_eX]

[DOI]

Sanghyuk Chun

CoRR, 2023

RoCOCO: Robust Benchmark MS-COCO to Stress-test Robustness of Image-Text Matching Models.

[BibT_eX]

[DOI]

CoRR, 2023

CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion.

[BibT_eX]

[DOI]

CoRR, 2023

Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Three Recipes for Better 3D Pseudo-GTs of 3D Human Mesh Estimation in the Wild.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Group Generalized Mean Pooling for Vision Transformer.

[BibT_eX]

[DOI]

CoRR, 2022

Similarity of Neural Architectures Based on Input Gradient Transferability.

[BibT_eX]

[DOI]

CoRR, 2022

An Extendable, Efficient and Effective Transformer-based Object Detector.

[BibT_eX]

[DOI]

CoRR, 2022

A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective.

[BibT_eX]

[DOI]

Chanwoo Park

Sangdoo Yun

Sanghyuk Chun

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Dataset Condensation with Contrastive Signals.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

ViDT: An Efficient and Effective Fully Transformer-based Object Detector.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-verified Image-Caption Associations for MS-COCO.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Domain Generalization by Mutual-Information Regularization with Pre-trained Models.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning Fair Classifiers with Partially Annotated Group Labels.

[BibT_eX]

[DOI]

Sangwon Jung

Sanghyuk Chun

Taesup Moon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

StyleAugment: Learning Texture De-biased Representations by Style Augmentation without Pre-defined Textures.

[BibT_eX]

[DOI]

Sanghyuk Chun

Song Park

CoRR, 2021

Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SWAD: Domain Generalization by Seeking Flat Minima.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Rethinking Spatial Dimensions of Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Probabilistic Embeddings for Cross-Modal Retrieval.

[BibT_eX]

[DOI]

Sanghyuk Chun

Seong Joon Oh

Rafael Sampaio de Rezende

Yannis Kalantidis

Diane Larlus

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Few-shot Font Generation with Localized Style Representations and Factorization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets.

[BibT_eX]

[DOI]

CoRR, 2020

Slowing Down the Weight Norm Increase in Momentum-based Optimizers.

[BibT_eX]

[DOI]

CoRR, 2020

An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods.

[BibT_eX]

[DOI]

CoRR, 2020

Learning De-biased Representations with Biased Representations.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Data-Driven Harmonic Filters for Audio Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Few-Shot Compositional Font Generation with Dual Memory.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Evaluating Weakly Supervised Object Localization Methods Right.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Visualizing and Understanding Self-attention based Music Tagging.

[BibT_eX]

[DOI]

Minz Won

Sanghyuk Chun

Xavier Serra

CoRR, 2019

Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling.

[BibT_eX]

[DOI]

CoRR, 2019

Toward Interpretable Music Tagging with Self-Attention.

[BibT_eX]

[DOI]

Minz Won

Sanghyuk Chun

Xavier Serra

CoRR, 2019

CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Photorealistic Style Transfer via Wavelet Transforms.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Multi-Domain Processing via Hybrid Denoising Networks for Speech Enhancement.

[BibT_eX]

[DOI]

CoRR, 2018

2017

A study on intelligent personalized push notification with user history.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Sanghyuk Chun

Timeline

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On csauthors.net:

Bibliography

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