Salient Region Detection via High-Dimensional Color Transform. - Jiwhan Kim; Dongyoon Han; Yu-Wing Tai; Junmo Kim 002 (CVPR, 2014)

Unsupervised Simultaneous Orthogonal basis Clustering Feature Selection. - Dongyoon Han; Junmo Kim 002 (CVPR, 2015)

Facial age estimation via extended curvature Gabor filter. - Jiwhan Kim; Dongyoon Han; Sungryull Sohn; Junmo Kim 002 (ICIP, 2015)

Salient Region Detection via High-Dimensional Color Transform and Local Spatial Support. - Jiwhan Kim; Dongyoon Han; Yu-Wing Tai; Junmo Kim 002 (IEEE Trans. Image Process., 2016)

Deep Pyramidal Residual Networks. - Dongyoon Han; Jiwhan Kim; Junmo Kim 002 (CVPR, 2017)

3D face recognition via discriminative keypoint selection. - Jiwhan Kim; Dongyoon Han; Wonjun Hwang; Junmo Kim 002 (URAI, 2017)

Towards Flatter Loss Surface via Nonmonotonic Learning Rate Scheduling. - Sihyeon Seong; Yegang Lee; Youngwook Kee; Dongyoon Han; Junmo Kim 002 (UAI, 2018)

Concentrated-Comprehensive Convolutions for lightweight semantic segmentation. - Hyojin Park 001; Youngjoon Yoo; Geonseok Seo; Dongyoon Han; Sangdoo Yun; Nojun Kwak (CoRR, 2018)

Unified Simultaneous Clustering and Feature Selection for Unlabeled and Labeled Data. - Dongyoon Han; Junmo Kim 002 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Character Region Awareness for Text Detection. - Youngmin Baek; Bado Lee; Dongyoon Han; Sangdoo Yun; Hwalsuk Lee (CVPR, 2019)

What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis. - Jeonghun Baek; Geewook Kim; Junyeop Lee; Sungrae Park; Dongyoon Han; Sangdoo Yun; Seong Joon Oh; Hwalsuk Lee (ICCV, 2019)

CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features. - Sangdoo Yun; Dongyoon Han; Sanghyuk Chun; Seong Joon Oh; Youngjoon Yoo; Junsuk Choe (ICCV, 2019)

Unpaired Sketch-to-Line Translation via Synthesis of Sketches. - Gayoung Lee; Dohyun Kim 001; Youngjoon Yoo; Dongyoon Han; Jung-Woo Ha 001; Jaehyuk Chang (SIGGRAPH Asia Technical Briefs, 2019)

Learning Receptive Field Size by Learning Filter Size. - Yegang Lee; Heechul Jung; Dongyoon Han; Kyungsu Kim 003; Junmo Kim 002 (WACV, 2019)

EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse. - Young Joon Yoo; Dongyoon Han; Sangdoo Yun (CoRR, 2019)

An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods. - Sanghyuk Chun; Seong Joon Oh; Sangdoo Yun; Dongyoon Han; Junsuk Choe; Youngjoon Yoo (CoRR, 2020)

Slowing Down the Weight Norm Increase in Momentum-based Optimizers. - Byeongho Heo; Sanghyuk Chun; Seong Joon Oh; Dongyoon Han; Sangdoo Yun; Youngjung Uh; Jung-Woo Ha 001 (CoRR, 2020)

ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network. - Dongyoon Han; Sangdoo Yun; Byeongho Heo; Young Joon Yoo (CoRR, 2020)

VideoMix: Rethinking Data Augmentation for Video Classification. - Sangdoo Yun; Seong Joon Oh; Byeongho Heo; Dongyoon Han; Jinhyung Kim (CoRR, 2020)

Rethinking Channel Dimensions for Efficient Model Design. - Dongyoon Han; Sangdoo Yun; Byeongho Heo; Youngjoon Yoo (CVPR, 2021)

Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels. - Sangdoo Yun; Seong Joon Oh; Byeongho Heo; Dongyoon Han; Junsuk Choe; Sanghyuk Chun (CVPR, 2021)

Rethinking Spatial Dimensions of Vision Transformers. - Byeongho Heo; Sangdoo Yun; Dongyoon Han; Sanghyuk Chun; Junsuk Choe; Seong Joon Oh (ICCV, 2021)

AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights. - Byeongho Heo; Sanghyuk Chun; Seong Joon Oh; Dongyoon Han; Sangdoo Yun; Gyuwan Kim; Youngjung Uh; Jung-Woo Ha 001 (ICLR, 2021)

Detecting and Removing Text in the Wild. - Junho Cho; Sangdoo Yun; Dongyoon Han; Byeongho Heo; Jin Young Choi 002 (IEEE Access, 2021)

Donut: Document Understanding Transformer without OCR. - Geewook Kim; Teakgyu Hong; Moonbin Yim; Jinyoung Park; Jinyeong Yim; Wonseok Hwang; Sangdoo Yun; Dongyoon Han; Seunghyun Park 001 (CoRR, 2021)

Region-based dropout with attention prior for weakly supervised object localization. - Junsuk Choe; Dongyoon Han; Sangdoo Yun; Jung-Woo Ha 001; Seong Joon Oh; Hyunjung Shim (Pattern Recognit., 2021)

Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training? - Jisoo Mok; Byunggook Na; Ji-Hoon Kim; Dongyoon Han; Sungroh Yoon (CVPR, 2022)

OCR-Free Document Understanding Transformer. - Geewook Kim; Teakgyu Hong; Moonbin Yim; JeongYeon Nam; Jinyoung Park; Jinyeong Yim; Wonseok Hwang; Sangdoo Yun; Dongyoon Han; Seunghyun Park 001 (ECCV (28), 2022)

Contrastive Vicinal Space for Unsupervised Domain Adaptation. - Jaemin Na; Dongyoon Han; Hyung Jin Chang; Wonjun Hwang (ECCV (34), 2022)

Learning Features with Parameter-Free Layers. - Dongyoon Han; Young Joon Yoo; Beomyoung Kim; Byeongho Heo (ICLR, 2022)

ViDT: An Efficient and Effective Fully Transformer-based Object Detector. - Hwanjun Song; Deqing Sun; Sanghyuk Chun; Varun Jampani; Dongyoon Han; Byeongho Heo; Wonjae Kim; Ming-Hsuan Yang 001 (ICLR, 2022)

Time Is MattEr: Temporal Self-supervision for Video Transformers. - Sukmin Yun; Jaehyung Kim 001; Dongyoon Han; Hwanjun Song; Jung-Woo Ha 001; Jinwoo Shin (ICML, 2022)

Spatiotemporal Augmentation on Selective Frequencies for Video Representation Learning. - Jinhyung Kim; Taeoh Kim; Minho Shim; Dongyoon Han; Dongyoon Wee; Junmo Kim 002 (CoRR, 2022)

An Extendable, Efficient and Effective Transformer-based Object Detector. - Hwanjun Song; Deqing Sun; Sanghyuk Chun; Varun Jampani; Dongyoon Han; Byeongho Heo; Wonjae Kim; Ming-Hsuan Yang 001 (CoRR, 2022)

Loss-based Sequential Learning for Active Domain Adaptation. - Kyeongtak Han; Youngeun Kim; Dongyoon Han; Sungeun Hong (CoRR, 2022)

Similarity of Neural Architectures Based on Input Gradient Transferability. - Jaehui Hwang; Dongyoon Han; Byeongho Heo; Song Park; Sanghyuk Chun; Jong-Seok Lee (CoRR, 2022)

Frequency Selective Augmentation for Video Representation Learning. - Jinhyung Kim; Taeoh Kim; Minho Shim; Dongyoon Han; Dongyoon Wee; Junmo Kim 002 (AAAI, 2023)

Can We Find Strong Lottery Tickets in Generative Models? - Sangyeop Yeo; Yoojin Jang 001; Jy-yong Sohn; Dongyoon Han; Jaejun Yoo 001 (AAAI, 2023)

The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation. - Beomyoung Kim; Joonhyun Jeong; Dongyoon Han; Sung Ju Hwang (CVPR, 2023)

Neglected Free Lunch - Learning Image Classifiers Using Annotation Byproducts. - Dongyoon Han; Junsuk Choe; Seonghyeok Chun; John Joon Young Chung; Minsuk Chang; Sangdoo Yun; Jean Y. Song; Seong Joon Oh (ICCV, 2023)

Scratching Visual Transformer's Back with Uniform Attention. - Nam Hyeon-Woo; Kim Yu-Ji; Byeongho Heo; Dongyoon Han; Seong Joon Oh; Tae-Hyun Oh (ICCV, 2023)

Generating Instance-level Prompts for Rehearsal-free Continual Learning. - Dahuin Jung; Dongyoon Han; Jihwan Bang; Hwanjun Song (ICCV, 2023)

Gramian Attention Heads are Strong yet Efficient Vision Learners. - Jongbin Ryu; Dongyoon Han; Jongwoo Lim (ICCV, 2023)

GeNAS: Neural Architecture Search with Better Generalization. - Joonhyun Jeong; Joonsang Yu; Geondo Park; Dongyoon Han; Youngjoon Yoo (IJCAI, 2023)

Switching Temporary Teachers for Semi-Supervised Semantic Segmentation. - Jaemin Na; Jung-Woo Ha 001; Hyung Jin Chang; Dongyoon Han; Wonjun Hwang (NeurIPS, 2023)

Augmenting Sub-model to Improve Main Model. - Byeongho Heo; Taekyung Kim 002; Sangdoo Yun; Dongyoon Han (CoRR, 2023)

Longer-range Contextualized Masked Autoencoder. - Taekyung Kim 002; Sanghyuk Chun; Byeongho Heo; Dongyoon Han (CoRR, 2023)

Match me if you can: Semantic Correspondence Learning with Unpaired Images. - Jiwon Kim; Byeongho Heo; Sangdoo Yun; Seungryong Kim; Dongyoon Han (CoRR, 2023)

Forging Tokens for Improved Storage-efficient Training. - Minhyun Lee; Song Park; Byeongho Heo; Dongyoon Han; Hyunjung Shim (CoRR, 2023)

TL-ADA: Transferable Loss-based Active Domain Adaptation. - Kyeongtak Han; Youngeun Kim; Dongyoon Han; Hojun Lee; Sungeun Hong (Neural Networks, 2023)

Match Me If You Can: Semi-supervised Semantic Correspondence Learning with Unpaired Images. - Jiwon Kim; Byeongho Heo; Sangdoo Yun; Seungryong Kim; Dongyoon Han (ACCV (6), 2024)

Rotary Position Embedding for Vision Transformer. - Byeongho Heo; Song Park; Dongyoon Han; Sangdoo Yun (ECCV (10), 2024)

Similarity of Neural Architectures Using Adversarial Attack Transferability. - Jaehui Hwang; Dongyoon Han; Byeongho Heo; Song Park; Sanghyuk Chun; Jong-Seok Lee (ECCV (68), 2024)

Model Stock: All We Need Is Just a Few Fine-Tuned Models. - Dong-Hwan Jang; Sangdoo Yun; Dongyoon Han (ECCV (44), 2024)

Learning with Unmasked Tokens Drives Stronger Vision Learners. - Taekyung Kim 002; Sanghyuk Chun; Byeongho Heo; Dongyoon Han (ECCV (34), 2024)

HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts. - Wonjae Kim; Sanghyuk Chun; Taekyung Kim 002; Dongyoon Han; Sangdoo Yun (ECCV (40), 2024)

DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs. - Donghyun Kim; Byeongho Heo; Dongyoon Han (ECCV (3), 2024)

Leveraging Temporal Contextualization for Video Action Recognition. - Minji Kim 002; Dongyoon Han; Taekyung Kim 002; Bohyung Han (ECCV (21), 2024)

SeiT++: Masked Token Modeling Improves Storage-Efficient Training. - Minhyun Lee; Song Park; Byeongho Heo; Dongyoon Han; Hyunjung Shim (ECCV (28), 2024)

Towards Calibrated Robust Fine-Tuning of Vision-Language Models. - Changdae Oh; Hyesu Lim; Mijoo Kim; Dongyoon Han; Sangdoo Yun; Jaegul Choo; Alexander Hauptmann 001; Zhi-Qi Cheng; Kyungwoo Song (NeurIPS, 2024)

Masked Image Modeling via Dynamic Token Morphing. - Taekyung Kim 002; Dongyoon Han; Byeongho Heo (CoRR, 2024)

Token-Supervised Value Models for Enhancing Mathematical Reasoning Capabilities of Large Language Models. - Jung Hyun Lee; June Yong Yang; Byeongho Heo; Dongyoon Han; Kang Min Yoo (CoRR, 2024)

NegMerge: Consensual Weight Negation for Strong Machine Unlearning. - Hyoseo Kim; Dongyoon Han; Junsuk Choe (CoRR, 2024)

MaskRIS: Semantic Distortion-aware Data Augmentation for Referring Image Segmentation. - Minhyun Lee; Seungho Lee; Song Park; Dongyoon Han; Byeongho Heo; Hyunjung Shim (CoRR, 2024)

Tint Your Models Task-wise for Improved Multi-task Model Merging. - Aecheon Jung; Seunghwan Lee; Dongyoon Han; Sungeun Hong (CoRR, 2024)

Masking meets Supervision: A Strong Learning Alliance. - Byeongho Heo; Taekyung Kim 002; Sangdoo Yun; Dongyoon Han (CVPR, 2025)

Morphing Tokens Draw Strong Masked Image Models. - Taekyung Kim 002; Byeongho Heo; Dongyoon Han (ICLR, 2025)

Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models. - Jung Hyun Lee; June Yong Yang; Byeongho Heo; Dongyoon Han; Kyungsu Kim; Eunho Yang; Kang Min Yoo (ICLR, 2025)

DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation. - Changdae Oh; Yixuan Li 001; Kyungwoo Song; Sangdoo Yun; Dongyoon Han (ICLR, 2025)

Peri-LN: Revisiting Layer Normalization in the Transformer Architecture. - Jeonghoon Kim; Byeongchan Lee 001; Cheonbok Park; Yeontaek Oh; Beomjun Kim; Taehwan Yoo; Seongjin Shin; Dongyoon Han; Jinwoo Shin; Kang Min Yoo (CoRR, 2025)

DNNs May Determine Major Properties of Their Outputs Early, with Timing Possibly Driven by Bias. - Song Park; Sanghyuk Chun; Byeongho Heo; Dongyoon Han (CoRR, 2025)

Diffusion Meets Few-shot Class Incremental Learning. - Junsu Kim; Yunhoe Ku; Dongyoon Han; Seungryul Baek (CoRR, 2025)

Aligned Novel View Image and Geometry Synthesis via Cross-modal Attention Instillation. - Minseop Kwak; Junho Kim; Sangdoo Yun; Dongyoon Han; Taekyoung Kim; Seungryong Kim; Jin-Hwa Kim (CoRR, 2025)

When Test-Time Adaptation Meets Self-Supervised Models. - Jisu Han; Jihee Park; Dongyoon Han; Wonjun Hwang (CoRR, 2025)

Token Bottleneck: One Token to Remember Dynamics. - Taekyung Kim 002; Dongyoon Han; Byeongho Heo; Jeongeun Park 002; Sangdoo Yun (CoRR, 2025)

Revisiting Reliability in the Reasoning-based Pose Estimation Benchmark. - Junsu Kim; Naeun Kim; Jaeho Lee; Incheol Park; Dongyoon Han; Seungryul Baek (CoRR, 2025)