Dongyoon Han

Orcid: 0000-0002-9130-8195

According to our database¹, Dongyoon Han authored at least 63 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

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PhD thesis

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Links

On csauthors.net:

Bibliography

2024

NegMerge: Consensual Weight Negation for Strong Machine Unlearning.

[BibT_eX]

[DOI]

Hyoseo Kim

Dongyoon Han

Junsuk Choe

CoRR, 2024

DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation.

[BibT_eX]

[DOI]

CoRR, 2024

Token-Supervised Value Models for Enhancing Mathematical Reasoning Capabilities of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Leveraging Temporal Contextualization for Video Action Recognition.

[BibT_eX]

[DOI]

CoRR, 2024

Masked Image Modeling via Dynamic Token Morphing.

[BibT_eX]

[DOI]

Taekyung Kim

Dongyoon Han

Byeongho Heo

CoRR, 2024

SeiT++: Masked Token Modeling Improves Storage-Efficient Training.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Leveraging Temporal Contextualization for Video Action Recognition.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs.

[BibT_eX]

[DOI]

Donghyun Kim

Byeongho Heo

Dongyoon Han

Proceedings of the Computer Vision - ECCV 2024, 2024

HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Learning with Unmasked Tokens Drives Stronger Vision Learners.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Model Stock: All We Need Is Just a Few Fine-Tuned Models.

[BibT_eX]

[DOI]

Dong-Hwan Jang

Sangdoo Yun

Dongyoon Han

Proceedings of the Computer Vision - ECCV 2024, 2024

Similarity of Neural Architectures Using Adversarial Attack Transferability.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Rotary Position Embedding for Vision Transformer.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

TL-ADA: Transferable Loss-based Active Domain Adaptation.

[BibT_eX]

[DOI]

Neural Networks, April, 2023

Forging Tokens for Improved Storage-efficient Training.

[BibT_eX]

[DOI]

CoRR, 2023

Match me if you can: Semantic Correspondence Learning with Unpaired Images.

[BibT_eX]

[DOI]

CoRR, 2023

Longer-range Contextualized Masked Autoencoder.

[BibT_eX]

[DOI]

CoRR, 2023

Augmenting Sub-model to Improve Main Model.

[BibT_eX]

[DOI]

CoRR, 2023

Switching Temporary Teachers for Semi-Supervised Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GeNAS: Neural Architecture Search with Better Generalization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Gramian Attention Heads are Strong yet Efficient Vision Learners.

[BibT_eX]

[DOI]

Jongbin Ryu

Dongyoon Han

Jongwoo Lim

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

Generating Instance-level Prompts for Rehearsal-free Continual Learning.

[BibT_eX]

[DOI]

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

Scratching Visual Transformer's Back with Uniform Attention.

[BibT_eX]

[DOI]

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

Neglected Free Lunch - Learning Image Classifiers Using Annotation Byproducts.

[BibT_eX]

[DOI]

Dongyoon Han

Junsuk Choe

Seonghyeok Chun

John Joon Young Chung

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

The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation.

[BibT_eX]

[DOI]

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

Can We Find Strong Lottery Tickets in Generative Models?

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Frequency Selective Augmentation for Video Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Similarity of Neural Architectures Based on Input Gradient Transferability.

[BibT_eX]

[DOI]

CoRR, 2022

Loss-based Sequential Learning for Active Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Spatiotemporal Augmentation on Selective Frequencies for Video Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Time Is MattEr: Temporal Self-supervision for Video Transformers.

[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

Learning Features with Parameter-Free Layers.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Contrastive Vicinal Space for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

OCR-Free Document Understanding Transformer.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training?

[BibT_eX]

[DOI]

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

2021

Region-based dropout with attention prior for weakly supervised object localization.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Donut: Document Understanding Transformer without OCR.

[BibT_eX]

[DOI]

CoRR, 2021

Detecting and Removing Text in the Wild.

[BibT_eX]

[DOI]

IEEE Access, 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

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

Rethinking Channel Dimensions for Efficient Model Design.

[BibT_eX]

[DOI]

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

2020

VideoMix: Rethinking Data Augmentation for Video Classification.

[BibT_eX]

[DOI]

CoRR, 2020

ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network.

[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

2019

EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse.

[BibT_eX]

[DOI]

Young Joon Yoo

Dongyoon Han

Sangdoo Yun

CoRR, 2019

Learning Receptive Field Size by Learning Filter Size.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Unpaired Sketch-to-Line Translation via Synthesis of Sketches.

[BibT_eX]

[DOI]

Proceedings of the SIGGRAPH Asia 2019 Technical Briefs, 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

What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis.

[BibT_eX]

[DOI]

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

Character Region Awareness for Text Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Unified Simultaneous Clustering and Feature Selection for Unlabeled and Labeled Data.

[BibT_eX]

[DOI]

Dongyoon Han

Junmo Kim

IEEE Trans. Neural Networks Learn. Syst., 2018

Concentrated-Comprehensive Convolutions for lightweight semantic segmentation.

[BibT_eX]

[DOI]

CoRR, 2018

Towards Flatter Loss Surface via Nonmonotonic Learning Rate Scheduling.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

2017

3D face recognition via discriminative keypoint selection.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Ubiquitous Robots and Ambient Intelligence, 2017

Deep Pyramidal Residual Networks.

[BibT_eX]

[DOI]

Dongyoon Han

Jiwhan Kim

Junmo Kim

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Salient Region Detection via High-Dimensional Color Transform and Local Spatial Support.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2016

2015

Facial age estimation via extended curvature Gabor filter.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Unsupervised Simultaneous Orthogonal basis Clustering Feature Selection.

[BibT_eX]

[DOI]

Dongyoon Han

Junmo Kim

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Salient Region Detection via High-Dimensional Color Transform.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Dongyoon Han

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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