Dongyoon Han

Orcid: 0000-0002-9130-8195

According to our database1, Dongyoon Han authored at least 54 papers between 2014 and 2024.

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Bibliography

2024
DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs.
CoRR, 2024

Model Stock: All we need is just a few fine-tuned models.
CoRR, 2024

Rotary Position Embedding for Vision Transformer.
CoRR, 2024

Masked Image Modeling via Dynamic Token Morphing.
CoRR, 2024

2023
TL-ADA: Transferable Loss-based Active Domain Adaptation.
Neural Networks, April, 2023

Forging Tokens for Improved Storage-efficient Training.
CoRR, 2023

Match me if you can: Semantic Correspondence Learning with Unpaired Images.
CoRR, 2023

Longer-range Contextualized Masked Autoencoder.
CoRR, 2023

Augmenting Sub-model to Improve Main Model.
CoRR, 2023

Switching Temporary Teachers for Semi-Supervised Semantic Segmentation.
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.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Gramian Attention Heads are Strong yet Efficient Vision Learners.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Generating Instance-level Prompts for Rehearsal-free Continual Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Scratching Visual Transformer's Back with Uniform Attention.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Neglected Free Lunch - Learning Image Classifiers Using Annotation Byproducts.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Can We Find Strong Lottery Tickets in Generative Models?
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Frequency Selective Augmentation for Video Representation Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Similarity of Neural Architectures Based on Input Gradient Transferability.
CoRR, 2022

Loss-based Sequential Learning for Active Domain Adaptation.
CoRR, 2022

An Extendable, Efficient and Effective Transformer-based Object Detector.
CoRR, 2022

Spatiotemporal Augmentation on Selective Frequencies for Video Representation Learning.
CoRR, 2022

Time Is MattEr: Temporal Self-supervision for Video Transformers.
Proceedings of the International Conference on Machine Learning, 2022

ViDT: An Efficient and Effective Fully Transformer-based Object Detector.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Features with Parameter-Free Layers.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Contrastive Vicinal Space for Unsupervised Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2022, 2022

OCR-Free Document Understanding Transformer.
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?
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.
Pattern Recognit., 2021

Donut: Document Understanding Transformer without OCR.
CoRR, 2021

Detecting and Removing Text in the Wild.
IEEE Access, 2021

AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights.
Proceedings of the 9th International Conference on Learning Representations, 2021

Rethinking Spatial Dimensions of Vision Transformers.
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.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Rethinking Channel Dimensions for Efficient Model Design.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
VideoMix: Rethinking Data Augmentation for Video Classification.
CoRR, 2020

ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network.
CoRR, 2020

Slowing Down the Weight Norm Increase in Momentum-based Optimizers.
CoRR, 2020

An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods.
CoRR, 2020

2019
EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse.
CoRR, 2019

Learning Receptive Field Size by Learning Filter Size.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Unpaired Sketch-to-Line Translation via Synthesis of Sketches.
Proceedings of the SIGGRAPH Asia 2019 Technical Briefs, 2019

CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features.
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.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Character Region Awareness for Text Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Unified Simultaneous Clustering and Feature Selection for Unlabeled and Labeled Data.
IEEE Trans. Neural Networks Learn. Syst., 2018

Concentrated-Comprehensive Convolutions for lightweight semantic segmentation.
CoRR, 2018

Towards Flatter Loss Surface via Nonmonotonic Learning Rate Scheduling.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

2017
3D face recognition via discriminative keypoint selection.
Proceedings of the 14th International Conference on Ubiquitous Robots and Ambient Intelligence, 2017

Deep Pyramidal Residual Networks.
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.
IEEE Trans. Image Process., 2016

2015
Facial age estimation via extended curvature Gabor filter.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Unsupervised Simultaneous Orthogonal basis Clustering Feature Selection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Salient Region Detection via High-Dimensional Color Transform.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014


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