Multiple ground plane estimation for 3D scene understanding using a monocular camera. - Sangdoo Yun; Soo Wan Kim; Kwang Moo Yi; Haan-Ju Yoo; Jin Young Choi 002 (IVCNZ, 2012)

Multi-task learning with over-sampled time-series representation of a trajectory for traffic motion pattern recognition. - Tushar Sandhan; Young Joon Yoo; Hanjoo Yoo; Sangdoo Yun; Moonsub Byeon (AVSS, 2014)

Visual surveillance briefing system: Event-based video retrieval and summarization. - Sangdoo Yun; Kimin Yun; Soo Wan Kim; Youngjoon Yoo; Jiyeoup Jeong (AVSS, 2014)

Self-Organizing Cascaded Structure of Deformable Part Models for Fast Object Detection. - Sangdoo Yun; Hawook Jeong; Woo-Sung Kang; Byeongho Heo; Jin Young Choi 002 (ICPR, 2014)

Category Attentional Search for Fast Object Detection by Mimicking Human Visual Perception. - Hawook Jeong; Sangdoo Yun; Kwang Moo Yi; Jin Young Choi 002 (WACV, 2015)

Visual Path Prediction in Complex Scenes with Crowded Moving Objects. - Young Joon Yoo; Kimin Yun; Sangdoo Yun; Jonghee Hong; Hawook Jeong; Jin Young Choi 002 (CVPR, 2016)

Density-Aware Pedestrian Proposal Networks for Robust People Detection in Crowded Scenes. - Sangdoo Yun; Kimin Yun; Jongwon Choi; Jin Young Choi 002 (ECCV Workshops (2), 2016)

Attention-inspired moving object detection in monocular dashcam videos. - Kimin Yun; Jongin Lim 002; Sangdoo Yun; Soo Wan Kim; Jin Young Choi 002 (ICPR, 2016)

Voting-based 3D object cuboid detection robust to partial occlusion from RGB-D images. - Sangdoo Yun; Hawook Jeong; Soo Wan Kim; Jin Young Choi 002 (WACV, 2016)

PaletteNet: Image Recolorization with Given Color Palette. - Junho Cho; Sangdoo Yun; Kyoungmu Lee; Jin Young Choi 002 (CVPR Workshops, 2017)

Attentional Correlation Filter Network for Adaptive Visual Tracking. - Jongwon Choi; Hyung Jin Chang; Sangdoo Yun; Tobias Fischer 001; Yiannis Demiris; Jin Young Choi 002 (CVPR, 2017)

Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold. - Youngjoon Yoo; Sangdoo Yun; Hyung Jin Chang; Yiannis Demiris; Jin Young Choi 002 (CVPR, 2017)

Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning. - Sangdoo Yun; Jongwon Choi; Youngjoon Yoo; Kimin Yun; Jin Young Choi 002 (CVPR, 2017)

Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation. - Young Joon Yoo; Seonguk Park; Junyoung Choi; Sangdoo Yun; Nojun Kwak (CoRR, 2017)

Context-Aware Deep Feature Compression for High-Speed Visual Tracking. - Jongwon Choi; Hyung Jin Chang; Tobias Fischer 001; Sangdoo Yun; Kyuewang Lee; Jiyeoup Jeong; Yiannis Demiris; Jin Young Choi 002 (CVPR, 2018)

The Sixth Visual Object Tracking VOT2018 Challenge Results. - Matej Kristan; Ales Leonardis; Jiri Matas; Michael Felsberg; Roman P. Pflugfelder; Luka Cehovin Zajc; Tomás Vojír; Goutam Bhat; Alan Lukezic; Abdelrahman Eldesokey; Gustavo Fernández; Álvaro García-Martín; et al. (ECCV Workshops (1), 2018)

Unsupervised Holistic Image Generation from Key Local Patches. - Donghoon Lee 004; Sangdoo Yun; Sungjoon Choi; Hwiyeon Yoo; Ming-Hsuan Yang 001; Songhwai Oh (ECCV (5), 2018)

VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results. - Longyin Wen; Pengfei Zhu 001; Dawei Du; Xiao Bian; Haibin Ling; Qinghua Hu; Chenfeng Liu; Hao Cheng 010; Xiaoyu Liu 005; Wenya Ma; Qinqin Nie; Haotian Wu 006; et al. (ECCV Workshops (5), 2018)

Selective Ensemble Network for Accurate Crowd Density Estimation. - Jiyeoup Jeong; Hawook Jeong; Jongin Lim 002; Jongwon Choi; Sangdoo Yun; Jin Young Choi 002 (ICPR, 2018)

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

Action-Driven Visual Object Tracking With Deep Reinforcement Learning. - Sangdoo Yun; Jongwon Choi; Youngjoon Yoo; Kimin Yun; Jin Young Choi 002 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary. - Byeongho Heo; Minsik Lee 001; Sangdoo Yun; Jin Young Choi 002 (AAAI, 2019)

Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons. - Byeongho Heo; Minsik Lee 001; Sangdoo Yun; Jin Young Choi 002 (AAAI, 2019)

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)

A Comprehensive Overhaul of Feature Distillation. - Byeongho Heo; Jeesoo Kim; Sangdoo Yun; Hyojin Park 001; Nojun Kwak; Jin Young Choi 002 (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)

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

Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling. - Young Joon Yoo; Sanghyuk Chun; Sangdoo Yun; Jung-Woo Ha 001; Jaejun Yoo 001 (CoRR, 2019)

Learning De-biased Representations with Biased Representations. - Hyojin Bahng; Sanghyuk Chun; Sangdoo Yun; Jaegul Choo; Seong Joon Oh (ICML, 2020)

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)

Normalization Matters in Weakly Supervised Object Localization. - Jeesoo Kim; Junsuk Choe; Sangdoo Yun; Nojun Kwak (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)

Progressive Transmission and Inference of Deep Learning Models. - Youngsoo Lee; Sangdoo Yun; Yeonghun Kim; Sunghee Choi (ICMLA, 2021)

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

Observations on K-image Expansion of Image-Mixing Augmentation for Classification. - Joonhyun Jeong; Sungmin Cha; Youngjoon Yoo; Sangdoo Yun; Taesup Moon; Jongwon Choi (CoRR, 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)

Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. - Jungbeom Lee; Seong Joon Oh; Sangdoo Yun; Junsuk Choe; Eunji Kim 002; Sungroh Yoon (CVPR, 2022)

Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning. - Jongin Lim 002; Sangdoo Yun; Seulki Park; Jin Young Choi 002 (CVPR, 2022)

The Majority Can Help the Minority: Context-rich Minority Oversampling for Long-tailed Classification. - Seulki Park; Youngkyu Hong; Byeongho Heo; Sangdoo Yun; Jin Young Choi 002 (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)

Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective. - Luca Scimeca; Seong Joon Oh; Sanghyuk Chun; Michael Poli; Sangdoo Yun (ICLR, 2022)

Dataset Condensation via Efficient Synthetic-Data Parameterization. - Jang-Hyun Kim; Jinuk Kim; Seong Joon Oh; Sangdoo Yun; Hwanjun Song; Joonhyun Jeong; Jung-Woo Ha 001; Hyun Oh Song (ICML, 2022)

Dataset Condensation with Contrastive Signals. - Saehyung Lee; Sanghyuk Chun; Sangwon Jung; Sangdoo Yun; Sungroh Yoon (ICML, 2022)

A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective. - Chanwoo Park; Sangdoo Yun; Sanghyuk Chun (NeurIPS, 2022)

How Much a Model be Trained by Passive Learning Before Active Learning? - Dae Ung Jo; Sangdoo Yun; Jin Young Choi 002 (IEEE Access, 2022)

Group Generalized Mean Pooling for Vision Transformer. - Byungsoo Ko; Han-Gyu Kim; Byeongho Heo; Sangdoo Yun; Sanghyuk Chun; Geonmo Gu; Wonjae Kim (CoRR, 2022)

MPCHAT: Towards Multimodal Persona-Grounded Conversation. - Jaewoo Ahn; Yeda Song; Sangdoo Yun; Gunhee Kim (ACL (1), 2023)

Three Recipes for Better 3D Pseudo-GTs of 3D Human Mesh Estimation in the Wild. - Gyeongsik Moon; Hongsuk Choi; Sanghyuk Chun; Jiyoung Lee; Sangdoo Yun (CVPR Workshops, 2023)

Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models. - Geewook Kim; Hodong Lee; Daehee Kim 003; Haeji Jung; Sanghee Park; Yoonsik Kim; Sangdoo Yun; Taeho Kil; Bado Lee; Seunghyun Park 001 (EMNLP, 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)

SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage. - Song Park; Sanghyuk Chun; Byeongho Heo; Wonjae Kim; Sangdoo Yun (ICCV, 2023)

Exploring Temporally Dynamic Data Augmentation for Video Recognition. - Taeoh Kim; Jinhyung Kim; Minho Shim; Sangdoo Yun; Myunggu Kang; Dongyoon Wee; Sangyoun Lee (ICLR, 2023)

What Do Self-Supervised Vision Transformers Learn? - Namuk Park; Wonjae Kim; Byeongho Heo; Taekyung Kim 002; Sangdoo Yun (ICLR, 2023)

ProPILE: Probing Privacy Leakage in Large Language Models. - Siwon Kim; Sangdoo Yun; Hwaran Lee; Martin Gubri; Sungroh Yoon; Seong Joon Oh (NeurIPS, 2023)

Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data. - Jang-Hyun Kim; Sangdoo Yun; Hyun Oh Song (NeurIPS, 2023)

Observations on K-Image Expansion of Image-Mixing Augmentation. - Joonhyun Jeong; Sungmin Cha; Jongwon Choi; Sangdoo Yun; Taesup Moon; Youngjoon Yoo (IEEE Access, 2023)

Neural Relation Graph for Identifying Problematic Data. - Jang-Hyun Kim; Sangdoo Yun; Hyun Oh Song (CoRR, 2023)

RoCOCO: Robust Benchmark MS-COCO to Stress-test Robustness of Image-Text Matching Models. - Seulki Park; Daeho Um; Hajung Yoon; Sanghyuk Chun; Sangdoo Yun; Jin Young Choi 002 (CoRR, 2023)

Cream: Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models. - Geewook Kim; Hodong Lee; Daehee Kim 003; Haeji Jung; Sanghee Park; Yoonsik Kim; Sangdoo Yun; Taeho Kil; Bado Lee; Seunghyun Park 001 (CoRR, 2023)

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

Prometheus: Inducing Fine-grained Evaluation Capability in Language Models. - Seungone Kim; Jamin Shin; Yejin Cho; Joel Jang; Shayne Longpre; Hwaran Lee; Sangdoo Yun; Seongjin Shin; Sungdong Kim; James Thorne; Minjoon Seo (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)

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)

TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models. - Jaewoo Ahn; Taehyun Lee; Junyoung Lim; Jin-Hwa Kim; Sangdoo Yun; Hwaran Lee; Gunhee Kim (ACL (Findings), 2024)

TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification. - Martin Gubri; Dennis Ulmer; Hwaran Lee; Sangdoo Yun; Seong Joon Oh (ACL (Findings), 2024)

Who Wrote this Code? Watermarking for Code Generation. - Taehyun Lee; Seokhee Hong 002; Jaewoo Ahn; Ilgee Hong; Hwaran Lee; Sangdoo Yun; Jamin Shin; Gunhee Kim (ACL (1), 2024)

Calibrating Large Language Models Using Their Generations Only. - Dennis Ulmer; Martin Gubri; Hwaran Lee; Sangdoo Yun; Seong Joon Oh (ACL (1), 2024)

Language-only Efficient Training of Zero-shot Composed Image Retrieval. - Geonmo Gu; Sanghyuk Chun; Wonjae Kim; Yoohoon Kang; Sangdoo Yun (CVPR, 2024)

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

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

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

RoCOCO: Robustness Benchmark of MS-COCO to Stress-Test Image-Text Matching Models. - Seulki Park; Daeho Um; Hajung Yoon; Sanghyuk Chun; Sangdoo Yun (ECCV Workshops (20), 2024)

Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models. - Seungone Kim; Jamin Shin; Yejin Choi 001; Joel Jang; Shayne Longpre; Hwaran Lee; Sangdoo Yun; Seongjin Shin; Sungdong Kim; James Thorne; Minjoon Seo (ICLR, 2024)

Compressed Context Memory for Online Language Model Interaction. - Jang-Hyun Kim; Junyoung Yeom; Sangdoo Yun; Hyun Oh Song (ICLR, 2024)

Toward Interactive Regional Understanding in Vision-Large Language Models. - Jungbeom Lee; Sanghyuk Chun; Sangdoo Yun (NAACL-HLT, 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)

Direct Unlearning Optimization for Robust and Safe Text-to-Image Models. - Yong-Hyun Park; Sangdoo Yun; Jin-Hwa Kim; Junho Kim; Geonhui Jang; Yonghyun Jeong; Junghyo Jo; Gayoung Lee (NeurIPS, 2024)

Unveiling Disparities in Web Task Handling Between Human and Web Agent. - Kihoon Son; Jinhyeon Kwon; Daeun Choi; Tae Soo Kim 002; Young-Ho Kim; Sangdoo Yun; Juho Kim 001 (CoRR, 2024)

Targeted Cause Discovery with Data-Driven Learning. - Jang-Hyun Kim; Claudia Skok Gibbs; Sangdoo Yun; Hyun Oh Song; Kyunghyun Cho (CoRR, 2024)

Versatile Motion Language Models for Multi-Turn Interactive Agents. - Jeongeun Park 002; Sungjoon Choi; Sangdoo Yun (CoRR, 2024)

CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion. - Geonmo Gu; Sanghyuk Chun; Wonjae Kim; HeeJae Jun; Yoohoon Kang; Sangdoo Yun (Trans. Mach. Learn. Res., 2024)

Code-Switching Curriculum Learning for Multilingual Transfer in LLMs. - Haneul Yoo; Cheonbok Park; Sangdoo Yun; Alice Oh; Hwaran Lee (ACL (Findings), 2025)

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

Probabilistic Language-Image Pre-Training. - Sanghyuk Chun; Wonjae Kim; Song Park; Sangdoo Yun (ICLR, 2025)

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

Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models. - Haritz Puerto; Martin Gubri; Sangdoo Yun; Seong Joon Oh (NAACL (Findings), 2025)

LongProLIP: A Probabilistic Vision-Language Model with Long Context Text. - Sanghyuk Chun; Sangdoo Yun (CoRR, 2025)

KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction. - Jang-Hyun Kim; Jinuk Kim; Sangwoo Kwon; Jae W. Lee; Sangdoo Yun; Hyun Oh Song (CoRR, 2025)

C-SEO Bench: Does Conversational SEO Work? - Haritz Puerto; Martin Gubri; Tommaso Green; Seong Joon Oh; Sangdoo Yun (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)

Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers. - Tommaso Green; Martin Gubri; Haritz Puerto; Sangdoo Yun; Seong Joon Oh (CoRR, 2025)

Emergence of Text Readability in Vision Language Models. - Jaeyoo Park; Sanghyuk Chun; Wonjae Kim; Sangdoo Yun; Bohyung Han (CoRR, 2025)

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