Dongyoon Han
44 papers · 2014–2026 · 9 venues · across top CS/AI venues
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image classification
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vision transformer
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object detection
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neural architecture search
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self-supervised learning
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data augmentation
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channel dimension
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representation learning
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vision-language model
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attention mechanism
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weakly supervised learning
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semantic segmentation
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masked image modeling
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semi-supervised learning
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action recognition
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transfer learning
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instance segmentation
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model compression
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lottery ticket hypothesis
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Papers
Exploring Conditions for Diffusion Models in Robotic Control
CVPR 2026
MuCo: Multi-turn Contrastive Learning for Multimodal Embedding Model
CVPR 2026
StoryCoder: Narrative Reformulation for Structured Reasoning in LLM Code Generation
ACL 2026
Which Concepts to Forget and How to Refuse? Decomposing Concepts for Continual Unlearning in Large Vision-Language Models
CVPR 2026
DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation
ICLR 2025
Masking meets Supervision: A Strong Learning Alliance
CVPR 2025
Morphing Tokens Draw Strong Masked Image Models
ICLR 2025
NegMerge: Sign-Consensual Weight Merging for Machine Unlearning
ICML 2025
Peri-LN: Revisiting Normalization Layer in the Transformer Architecture
ICML 2025
Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models
ICLR 2025
DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs
ECCV 2024
HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts
ECCV 2024
Learning with Unmasked Tokens Drives Stronger Vision Learners
ECCV 2024
Leveraging temporal contextualization for video action recognition
ECCV 2024
Model Stock: All we need is just a few fine-tuned models
ECCV 2024
Rotary Position Embedding for Vision Transformer
ECCV 2024
SeiT++: Masked Token Modeling Improves Storage-efficient Training
ECCV 2024
Similarity of Neural Architectures using Adversarial Attack Transferability
ECCV 2024
Towards Calibrated Robust Fine-Tuning of Vision-Language Models
NeurIPS 2024
Can We Find Strong Lottery Tickets in Generative Models?
AAAI 2023
Frequency Selective Augmentation for Video Representation Learning
AAAI 2023
GeNAS: Neural Architecture Search with Better Generalization
IJCAI 2023
Generating Instance-level Prompts for Rehearsal-free Continual Learning
ICCV 2023
Gramian Attention Heads are Strong yet Efficient Vision Learners
ICCV 2023
Neglected Free Lunch - Learning Image Classifiers Using Annotation Byproducts
ICCV 2023
Scratching Visual Transformer's Back with Uniform Attention
ICCV 2023
Switching Temporary Teachers for Semi-Supervised Semantic Segmentation
NeurIPS 2023
The Devil Is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation
CVPR 2023
Contrastive Vicinal Space for Unsupervised Domain Adaptation
ECCV 2022
Demystifying the Neural Tangent Kernel From a Practical Perspective: Can It Be Trusted for Neural Architecture Search Without Training?
CVPR 2022
Learning Features with Parameter-Free Layers
ICLR 2022
OCR-Free Document Understanding Transformer
ECCV 2022
Time Is MattEr: Temporal Self-supervision for Video Transformers
ICML 2022
ViDT: An Efficient and Effective Fully Transformer-based Object Detector
ICLR 2022
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights
ICLR 2021
Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels
CVPR 2021
Rethinking Channel Dimensions for Efficient Model Design
CVPR 2021
Rethinking Spatial Dimensions of Vision Transformers
ICCV 2021
Character Region Awareness for Text Detection
CVPR 2019
CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features
ICCV 2019
What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis
ICCV 2019
Deep Pyramidal Residual Networks
CVPR 2017
Unsupervised Simultaneous Orthogonal Basis Clustering Feature Selection
CVPR 2015
Salient Region Detection via High-Dimensional Color Transform
CVPR 2014