Sangdoo Yun - RankMe

161 papers A* 42A 2B 5C 1Misc 1Journal 90Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ChimeraLoRA: Multi-Head LoRA-Guided Synthetic Datasets. CoRR Hoyoung Kim, Minwoo Jang, Jabin Koo, Sangdoo Yun, Jungseul Ok
2026	A*	`conf`	ClearFairy: Capturing Creative Workflows through Decision Structuring, In-Situ Questioning, and Rationale Inference. CHI Kihoon Son, Daeun Choi, Tae Soo Kim, Young-Ho Kim, Sangdoo Yun, Juho Kim
2026	J	`jnl`	Fast KVzip: Efficient and Accurate LLM Inference with Gated KV Eviction. CoRR Jang-Hyun Kim, Dongyoon Han, Sangdoo Yun
2026	J	`jnl`	Grounding World Simulation Models in a Real-World Metropolis. CoRR Junyoung Seo, Hyunwook Choi, Minkyung Kwon, Jinhyeok Choi, Siyoon Jin, Gayoung Lee, Junho Kim, Joungbin Lee, Geonmo Gu, Dongyoon Han, Sangdoo Yun, Seungryong Kim, Jin-Hwa Kim
2026	A*	`conf`	LingoQ: Bridging the Gap between EFL Learning and Work through AI-Generated Work-Related Quizzes. CHI Yeonsun Yang, Sang Won Lee, Jean Y. Song, Sangdoo Yun, Young-Ho Kim
2026	J	`jnl`	MASEval: Extending Multi-Agent Evaluation from Models to Systems. CoRR Cornelius Emde, Alexander Rubinstein, Anmol Goel, Ahmed Heakl, Sangdoo Yun, Seong Joon Oh, Martin Gubri
2026	J	`jnl`	MuCo: Multi-turn Contrastive Learning for Multimodal Embedding Model. CoRR Geonmo Gu, Byeongho Heo, Jaemyung Yu, Jaehui Hwang, Taekyung Kim, Sangmin Lee, HeeJae Jun, Yoohoon Kang, Sangdoo Yun, Dongyoon Han
2026	J	`jnl`	Oops, Wait: Token-Level Signals as a Lens into LLM Reasoning. CoRR Jaehui Hwang, Dongyoon Han, Sangdoo Yun, Byeongho Heo
2026	J	`jnl`	Privacy Collapse: Benign Fine-Tuning Can Break Contextual Privacy in Language Models. CoRR Anmol Goel, Cornelius Emde, Sangdoo Yun, Seong Joon Oh, Martin Gubri
2025	J	`jnl`	Aligned Novel View Image and Geometry Synthesis via Cross-modal Attention Instillation. CoRR Minseop Kwak, Junho Kim, Sangdoo Yun, Dongyoon Han, Taekyoung Kim, Seungryong Kim, Jin-Hwa Kim
2025	J	`jnl`	C-SEO Bench: Does Conversational SEO Work? CoRR Haritz Puerto, Martin Gubri, Tommaso Green, Seong Joon Oh, Sangdoo Yun
2025	J	`jnl`	ClearFairy: Capturing Creative Workflows through Decision Structuring, In-Situ Questioning, and Rationale Inference. CoRR Kihoon Son, Daeun Choi, Tae Soo Kim, Young-Ho Kim, Sangdoo Yun, Juho Kim
2025	—	`conf`	Code-Switching Curriculum Learning for Multilingual Transfer in LLMs. ACL (Findings) Haneul Yoo, Cheonbok Park, Sangdoo Yun, Alice Oh, Hwaran Lee
2025	A*	`conf`	DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation. ICLR Changdae Oh, Yixuan Li, Kyungwoo Song, Sangdoo Yun, Dongyoon Han
2025	J	`jnl`	Dr.LLM: Dynamic Layer Routing in LLMs. CoRR Ahmed Heakl, Martin Gubri, Salman Khan, Sangdoo Yun, Seong Joon Oh
2025	J	`jnl`	Emergence of Text Readability in Vision Language Models. CoRR Jaeyoo Park, Sanghyuk Chun, Wonjae Kim, Sangdoo Yun, Bohyung Han
2025	J	`jnl`	Hierarchical Vision Language Action Model Using Success and Failure Demonstrations. CoRR Jeongeun Park, Jihwan Yoon, Byungwoo Jeon, Juhan Park, Jinwoo Shin, Namhoon Cho, Kyungjae Lee, Sangdoo Yun, Sungjoon Choi
2025	J	`jnl`	KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction. CoRR Jang-Hyun Kim, Jinuk Kim, Sangwoo Kwon, Jae W. Lee, Sangdoo Yun, Hyun Oh Song
2025	J	`jnl`	Large-Scale Targeted Cause Discovery via Learning from Simulated Data. Trans. Mach. Learn. Res. Jang-Hyun Kim, Claudia Skok Gibbs, Sangdoo Yun, Hyun Oh Song, Kyunghyun Cho
2025	A*	`conf`	Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers. EMNLP Tommaso Green, Martin Gubri, Haritz Puerto, Sangdoo Yun, Seong Joon Oh
2025	J	`jnl`	Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers. CoRR Tommaso Green, Martin Gubri, Haritz Puerto, Sangdoo Yun, Seong Joon Oh
2025	J	`jnl`	LingoQ: Bridging the Gap between ESL Learning and Work through AI-Generated Work-Related Quizzes. CoRR Yeonsun Yang, Sang Won Lee, Jean Y. Song, Sangdoo Yun, Young-Ho Kim
2025	J	`jnl`	LongProLIP: A Probabilistic Vision-Language Model with Long Context Text. CoRR Sanghyuk Chun, Sangdoo Yun
2025	A*	`conf`	Masking meets Supervision: A Strong Learning Alliance. CVPR Byeongho Heo, Taekyung Kim, Sangdoo Yun, Dongyoon Han
2025	A*	`conf`	Probabilistic Language-Image Pre-Training. ICLR Sanghyuk Chun, Wonjae Kim, Song Park, Sangdoo Yun
2025	J	`jnl`	RL makes MLLMs see better than SFT. CoRR Junha Song, Sangdoo Yun, Dongyoon Han, Jaegul Choo, Byeongho Heo
2025	—	`conf`	Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models. NAACL (Findings) Haritz Puerto, Martin Gubri, Sangdoo Yun, Seong Joon Oh
2025	J	`jnl`	Token Bottleneck: One Token to Remember Dynamics. CoRR Taekyung Kim, Dongyoon Han, Byeongho Heo, Jeongeun Park, Sangdoo Yun
2025	J	`jnl`	What Defines Good Reasoning in LLMs? Dissecting Reasoning Steps with Multi-Aspect Evaluation. CoRR Heejin Do, Jaehui Hwang, Dongyoon Han, Seong Joon Oh, Sangdoo Yun
2024	—	`conf`	Calibrating Large Language Models Using Their Generations Only. ACL (1) Dennis Ulmer, Martin Gubri, Hwaran Lee, Sangdoo Yun, Seong Joon Oh
2024	J	`jnl`	Calibrating Large Language Models Using Their Generations Only. CoRR Dennis Ulmer, Martin Gubri, Hwaran Lee, Sangdoo Yun, Seong Joon Oh
2024	J	`jnl`	Code-Switching Curriculum Learning for Multilingual Transfer in LLMs. CoRR Haneul Yoo, Cheonbok Park, Sangdoo Yun, Alice Oh, Hwaran Lee
2024	J	`jnl`	CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion. Trans. Mach. Learn. Res. Geonmo Gu, Sanghyuk Chun, Wonjae Kim, HeeJae Jun, Yoohoon Kang, Sangdoo Yun
2024	A*	`conf`	Compressed Context Memory for Online Language Model Interaction. ICLR Jang-Hyun Kim, Junyoung Yeom, Sangdoo Yun, Hyun Oh Song
2024	J	`jnl`	DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation. CoRR Changdae Oh, Yixuan Li, Kyungwoo Song, Sangdoo Yun, Dongyoon Han
2024	A*	`conf`	Direct Unlearning Optimization for Robust and Safe Text-to-Image Models. NeurIPS Yong-Hyun Park, Sangdoo Yun, Jin-Hwa Kim, Junho Kim, Geonhui Jang, Yonghyun Jeong, Junghyo Jo, Gayoung Lee
2024	J	`jnl`	Direct Unlearning Optimization for Robust and Safe Text-to-Image Models. CoRR Yong-Hyun Park, Sangdoo Yun, Jin-Hwa Kim, Junho Kim, Geonhui Jang, Yonghyun Jeong, Junghyo Jo, Gayoung Lee
2024	—	`conf`	HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts. ECCV (40) Wonjae Kim, Sanghyuk Chun, Taekyung Kim, Dongyoon Han, Sangdoo Yun
2024	J	`jnl`	HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts. CoRR Wonjae Kim, Sanghyuk Chun, Taekyung Kim, Dongyoon Han, Sangdoo Yun
2024	A*	`conf`	Language-only Efficient Training of Zero-shot Composed Image Retrieval. CVPR Geonmo Gu, Sanghyuk Chun, Wonjae Kim, Yoohoon Kang, Sangdoo Yun
2024	—	`conf`	Match Me If You Can: Semi-supervised Semantic Correspondence Learning with Unpaired Images. ACCV (6) Jiwon Kim, Byeongho Heo, Sangdoo Yun, Seungryong Kim, Dongyoon Han
2024	—	`conf`	Model Stock: All We Need Is Just a Few Fine-Tuned Models. ECCV (44) Dong-Hwan Jang, Sangdoo Yun, Dongyoon Han
2024	J	`jnl`	Model Stock: All we need is just a few fine-tuned models. CoRR Dong-Hwan Jang, Sangdoo Yun, Dongyoon Han
2024	J	`jnl`	Probabilistic Language-Image Pre-Training. CoRR Sanghyuk Chun, Wonjae Kim, Song Park, Sangdoo Yun
2024	A*	`conf`	Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models. ICLR Seungone Kim, Jamin Shin, Yejin Choi, Joel Jang, Shayne Longpre, Hwaran Lee, Sangdoo Yun, Seongjin Shin, Sungdong Kim, James Thorne, Minjoon Seo
2024	—	`conf`	RoCOCO: Robustness Benchmark of MS-COCO to Stress-Test Image-Text Matching Models. ECCV Workshops (20) Seulki Park, Daeho Um, Hajung Yoon, Sanghyuk Chun, Sangdoo Yun
2024	—	`conf`	Rotary Position Embedding for Vision Transformer. ECCV (10) Byeongho Heo, Song Park, Dongyoon Han, Sangdoo Yun
2024	J	`jnl`	Rotary Position Embedding for Vision Transformer. CoRR Byeongho Heo, Song Park, Dongyoon Han, Sangdoo Yun
2024	J	`jnl`	Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models. CoRR Haritz Puerto, Martin Gubri, Sangdoo Yun, Seong Joon Oh
2024	—	`conf`	TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification. ACL (Findings) Martin Gubri, Dennis Ulmer, Hwaran Lee, Sangdoo Yun, Seong Joon Oh
2024	J	`jnl`	TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification. CoRR Martin Gubri, Dennis Ulmer, Hwaran Lee, Sangdoo Yun, Seong Joon Oh
2024	J	`jnl`	Targeted Cause Discovery with Data-Driven Learning. CoRR Jang-Hyun Kim, Claudia Skok Gibbs, Sangdoo Yun, Hyun Oh Song, Kyunghyun Cho
2024	—	`conf`	TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models. ACL (Findings) Jaewoo Ahn, Taehyun Lee, Junyoung Lim, Jin-Hwa Kim, Sangdoo Yun, Hwaran Lee, Gunhee Kim
2024	J	`jnl`	TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models. CoRR Jaewoo Ahn, Taehyun Lee, Junyoung Lim, Jin-Hwa Kim, Sangdoo Yun, Hwaran Lee, Gunhee Kim
2024	—	`conf`	Toward Interactive Regional Understanding in Vision-Large Language Models. NAACL-HLT Jungbeom Lee, Sanghyuk Chun, Sangdoo Yun
2024	J	`jnl`	Toward Interactive Regional Understanding in Vision-Large Language Models. CoRR Jungbeom Lee, Sanghyuk Chun, Sangdoo Yun
2024	A*	`conf`	Towards Calibrated Robust Fine-Tuning of Vision-Language Models. NeurIPS Changdae Oh, Hyesu Lim, Mijoo Kim, Dongyoon Han, Sangdoo Yun, Jaegul Choo, Alexander Hauptmann, Zhi-Qi Cheng, Kyungwoo Song
2024	J	`jnl`	Unveiling Disparities in Web Task Handling Between Human and Web Agent. CoRR Kihoon Son, Jinhyeon Kwon, Daeun Choi, Tae Soo Kim, Young-Ho Kim, Sangdoo Yun, Juho Kim
2024	J	`jnl`	Versatile Motion Language Models for Multi-Turn Interactive Agents. CoRR Jeongeun Park, Sungjoon Choi, Sangdoo Yun
2024	—	`conf`	Who Wrote this Code? Watermarking for Code Generation. ACL (1) Taehyun Lee, Seokhee Hong, Jaewoo Ahn, Ilgee Hong, Hwaran Lee, Sangdoo Yun, Jamin Shin, Gunhee Kim
2023	J	`jnl`	Augmenting Sub-model to Improve Main Model. CoRR Byeongho Heo, Taekyung Kim, Sangdoo Yun, Dongyoon Han
2023	J	`jnl`	CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion. CoRR Geonmo Gu, Sanghyuk Chun, Wonjae Kim, HeeJae Jun, Yoohoon Kang, Sangdoo Yun
2023	J	`jnl`	Compressed Context Memory For Online Language Model Interaction. CoRR Jang-Hyun Kim, Junyoung Yeom, Sangdoo Yun, Hyun Oh Song
2023	J	`jnl`	Cream: Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models. CoRR Geewook Kim, Hodong Lee, Daehee Kim, Haeji Jung, Sanghee Park, Yoonsik Kim, Sangdoo Yun, Taeho Kil, Bado Lee, Seunghyun Park
2023	A*	`conf`	Exploring Temporally Dynamic Data Augmentation for Video Recognition. ICLR Taeoh Kim, Jinhyung Kim, Minho Shim, Sangdoo Yun, Myunggu Kang, Dongyoon Wee, Sangyoun Lee
2023	J	`jnl`	Language-only Efficient Training of Zero-shot Composed Image Retrieval. CoRR Geonmo Gu, Sanghyuk Chun, Wonjae Kim, Yoohoon Kang, Sangdoo Yun
2023	—	`conf`	MPCHAT: Towards Multimodal Persona-Grounded Conversation. ACL (1) Jaewoo Ahn, Yeda Song, Sangdoo Yun, Gunhee Kim
2023	J	`jnl`	MPCHAT: Towards Multimodal Persona-Grounded Conversation. CoRR Jaewoo Ahn, Yeda Song, Sangdoo Yun, Gunhee Kim
2023	J	`jnl`	Match me if you can: Semantic Correspondence Learning with Unpaired Images. CoRR Jiwon Kim, Byeongho Heo, Sangdoo Yun, Seungryong Kim, Dongyoon Han
2023	A*	`conf`	Neglected Free Lunch - Learning Image Classifiers Using Annotation Byproducts. ICCV Dongyoon Han, Junsuk Choe, Seonghyeok Chun, John Joon Young Chung, Minsuk Chang, Sangdoo Yun, Jean Y. Song, Seong Joon Oh
2023	J	`jnl`	Neglected Free Lunch; Learning Image Classifiers Using Annotation Byproducts. CoRR Dongyoon Han, Junsuk Choe, Seonghyeok Chun, John Joon Young Chung, Minsuk Chang, Sangdoo Yun, Jean Y. Song, Seong Joon Oh
2023	J	`jnl`	Neural Relation Graph for Identifying Problematic Data. CoRR Jang-Hyun Kim, Sangdoo Yun, Hyun Oh Song
2023	A*	`conf`	Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data. NeurIPS Jang-Hyun Kim, Sangdoo Yun, Hyun Oh Song
2023	J	`jnl`	Observations on K-Image Expansion of Image-Mixing Augmentation. IEEE Access Joonhyun Jeong, Sungmin Cha, Jongwon Choi, Sangdoo Yun, Taesup Moon, Youngjoon Yoo
2023	A*	`conf`	ProPILE: Probing Privacy Leakage in Large Language Models. NeurIPS Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh
2023	J	`jnl`	ProPILE: Probing Privacy Leakage in Large Language Models. CoRR Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh
2023	J	`jnl`	Prometheus: Inducing Fine-grained Evaluation Capability in Language Models. CoRR Seungone Kim, Jamin Shin, Yejin Cho, Joel Jang, Shayne Longpre, Hwaran Lee, Sangdoo Yun, Seongjin Shin, Sungdong Kim, James Thorne, Minjoon Seo
2023	J	`jnl`	RoCOCO: Robust Benchmark MS-COCO to Stress-test Robustness of Image-Text Matching Models. CoRR Seulki Park, Daeho Um, Hajung Yoon, Sanghyuk Chun, Sangdoo Yun, Jin Young Choi
2023	A*	`conf`	SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage. ICCV Song Park, Sanghyuk Chun, Byeongho Heo, Wonjae Kim, Sangdoo Yun
2023	J	`jnl`	SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage. CoRR Song Park, Sanghyuk Chun, Byeongho Heo, Wonjae Kim, Sangdoo Yun
2023	—	`conf`	Three Recipes for Better 3D Pseudo-GTs of 3D Human Mesh Estimation in the Wild. CVPR Workshops Gyeongsik Moon, Hongsuk Choi, Sanghyuk Chun, Jiyoung Lee, Sangdoo Yun
2023	J	`jnl`	Three Recipes for Better 3D Pseudo-GTs of 3D Human Mesh Estimation in the Wild. CoRR Gyeongsik Moon, Hongsuk Choi, Sanghyuk Chun, Jiyoung Lee, Sangdoo Yun
2023	A*	`conf`	Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models. EMNLP Geewook Kim, Hodong Lee, Daehee Kim, Haeji Jung, Sanghee Park, Yoonsik Kim, Sangdoo Yun, Taeho Kil, Bado Lee, Seunghyun Park
2023	A*	`conf`	What Do Self-Supervised Vision Transformers Learn? ICLR Namuk Park, Wonjae Kim, Byeongho Heo, Taekyung Kim, Sangdoo Yun
2023	J	`jnl`	What Do Self-Supervised Vision Transformers Learn? CoRR Namuk Park, Wonjae Kim, Byeongho Heo, Taekyung Kim, Sangdoo Yun
2023	J	`jnl`	Who Wrote this Code? Watermarking for Code Generation. CoRR Taehyun Lee, Seokhee Hong, Jaewoo Ahn, Ilgee Hong, Hwaran Lee, Sangdoo Yun, Jamin Shin, Gunhee Kim
2022	A*	`conf`	A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective. NeurIPS Chanwoo Park, Sangdoo Yun, Sanghyuk Chun
2022	J	`jnl`	A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective. CoRR Chanwoo Park, Sangdoo Yun, Sanghyuk Chun
2022	A*	`conf`	Dataset Condensation via Efficient Synthetic-Data Parameterization. ICML Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song
2022	J	`jnl`	Dataset Condensation via Efficient Synthetic-Data Parameterization. CoRR Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song
2022	A*	`conf`	Dataset Condensation with Contrastive Signals. ICML Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon
2022	J	`jnl`	Dataset Condensation with Contrastive Signals. CoRR Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon
2022	J	`jnl`	Exploring Temporally Dynamic Data Augmentation for Video Recognition. CoRR Taeoh Kim, Jinhyung Kim, Minho Shim, Sangdoo Yun, Myunggu Kang, Dongyoon Wee, Sangyoun Lee
2022	J	`jnl`	Group Generalized Mean Pooling for Vision Transformer. CoRR Byungsoo Ko, Han-Gyu Kim, Byeongho Heo, Sangdoo Yun, Sanghyuk Chun, Geonmo Gu, Wonjae Kim
2022	J	`jnl`	How Much a Model be Trained by Passive Learning Before Active Learning? IEEE Access Dae Ung Jo, Sangdoo Yun, Jin Young Choi
2022	A*	`conf`	Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning. CVPR Jongin Lim, Sangdoo Yun, Seulki Park, Jin Young Choi
2022	—	`conf`	OCR-Free Document Understanding Transformer. ECCV (28) Geewook Kim, Teakgyu Hong, Moonbin Yim, JeongYeon Nam, Jinyoung Park, Jinyeong Yim, Wonseok Hwang, Sangdoo Yun, Dongyoon Han, Seunghyun Park
2022	A*	`conf`	The Majority Can Help the Minority: Context-rich Minority Oversampling for Long-tailed Classification. CVPR Seulki Park, Youngkyu Hong, Byeongho Heo, Sangdoo Yun, Jin Young Choi
2022	A*	`conf`	Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. CVPR Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon
2022	J	`jnl`	Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. CoRR Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon
2022	A*	`conf`	Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective. ICLR Luca Scimeca, Seong Joon Oh, Sanghyuk Chun, Michael Poli, Sangdoo Yun
2021	A*	`conf`	AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights. ICLR Byeongho Heo, Sanghyuk Chun, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Gyuwan Kim, Youngjung Uh, Jung-Woo Ha
2021	J	`jnl`	Detecting and Removing Text in the Wild. IEEE Access Junho Cho, Sangdoo Yun, Dongyoon Han, Byeongho Heo, Jin Young Choi
2021	J	`jnl`	Donut: Document Understanding Transformer without OCR. CoRR Geewook Kim, Teakgyu Hong, Moonbin Yim, Jinyoung Park, Jinyeong Yim, Wonseok Hwang, Sangdoo Yun, Dongyoon Han, Seunghyun Park
2021	A*	`conf`	Normalization Matters in Weakly Supervised Object Localization. ICCV Jeesoo Kim, Junsuk Choe, Sangdoo Yun, Nojun Kwak
2021	J	`jnl`	Normalization Matters in Weakly Supervised Object Localization. CoRR Jeesoo Kim, Junsuk Choe, Sangdoo Yun, Nojun Kwak
2021	J	`jnl`	Observations on K-image Expansion of Image-Mixing Augmentation for Classification. CoRR Joonhyun Jeong, Sungmin Cha, Youngjoon Yoo, Sangdoo Yun, Taesup Moon, Jongwon Choi
2021	C	`conf`	Progressive Transmission and Inference of Deep Learning Models. ICMLA Youngsoo Lee, Sangdoo Yun, Yeonghun Kim, Sunghee Choi
2021	J	`jnl`	Progressive Transmission and Inference of Deep Learning Models. CoRR Youngsoo Lee, Sangdoo Yun, Yeonghun Kim, Sunghee Choi
2021	A*	`conf`	Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels. CVPR Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Junsuk Choe, Sanghyuk Chun
2021	J	`jnl`	Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels. CoRR Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Junsuk Choe, Sanghyuk Chun
2021	J	`jnl`	Region-based dropout with attention prior for weakly supervised object localization. Pattern Recognit. Junsuk Choe, Dongyoon Han, Sangdoo Yun, Jung-Woo Ha, Seong Joon Oh, Hyunjung Shim
2021	A*	`conf`	Rethinking Channel Dimensions for Efficient Model Design. CVPR Dongyoon Han, Sangdoo Yun, Byeongho Heo, Youngjoon Yoo
2021	A*	`conf`	Rethinking Spatial Dimensions of Vision Transformers. ICCV Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh
2021	J	`jnl`	Rethinking Spatial Dimensions of Vision Transformers. CoRR Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh
2021	J	`jnl`	The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification. CoRR Seulki Park, Youngkyu Hong, Byeongho Heo, Sangdoo Yun, Jin Young Choi
2021	J	`jnl`	Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective. CoRR Luca Scimeca, Seong Joon Oh, Sanghyuk Chun, Michael Poli, Sangdoo Yun
2020	J	`jnl`	An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods. CoRR Sanghyuk Chun, Seong Joon Oh, Sangdoo Yun, Dongyoon Han, Junsuk Choe, Youngjoon Yoo
2020	A*	`conf`	Learning De-biased Representations with Biased Representations. ICML Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh
2020	J	`jnl`	ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network. CoRR Dongyoon Han, Sangdoo Yun, Byeongho Heo, Young Joon Yoo
2020	J	`jnl`	Slowing Down the Weight Norm Increase in Momentum-based Optimizers. CoRR Byeongho Heo, Sanghyuk Chun, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Youngjung Uh, Jung-Woo Ha
2020	J	`jnl`	VideoMix: Rethinking Data Augmentation for Video Classification. CoRR Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Jinhyung Kim
2019	A*	`conf`	A Comprehensive Overhaul of Feature Distillation. ICCV Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi
2019	J	`jnl`	A Comprehensive Overhaul of Feature Distillation. CoRR Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi
2019	A*	`conf`	Character Region Awareness for Text Detection. CVPR Youngmin Baek, Bado Lee, Dongyoon Han, Sangdoo Yun, Hwalsuk Lee
2019	J	`jnl`	Character Region Awareness for Text Detection. CoRR Youngmin Baek, Bado Lee, Dongyoon Han, Sangdoo Yun, Hwalsuk Lee
2019	A*	`conf`	CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features. ICCV Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Seong Joon Oh, Youngjoon Yoo, Junsuk Choe
2019	J	`jnl`	CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features. CoRR Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, Youngjoon Yoo
2019	J	`jnl`	EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse. CoRR Young Joon Yoo, Dongyoon Han, Sangdoo Yun
2019	A*	`conf`	Knowledge Distillation with Adversarial Samples Supporting Decision Boundary. AAAI Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi
2019	A*	`conf`	Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons. AAAI Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi
2019	J	`jnl`	Learning De-biased Representations with Biased Representations. CoRR Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh
2019	J	`jnl`	Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling. CoRR Young Joon Yoo, Sanghyuk Chun, Sangdoo Yun, Jung-Woo Ha, Jaejun Yoo
2019	J	`jnl`	Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold. CoRR Young Joon Yoo, Sangdoo Yun, Hyung Jin Chang, Yiannis Demiris, Jin Young Choi
2019	A*	`conf`	What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis. ICCV Jeonghun Baek, Geewook Kim, Junyeop Lee, Sungrae Park, Dongyoon Han, Sangdoo Yun, Seong Joon Oh, Hwalsuk Lee
2019	J	`jnl`	What is wrong with scene text recognition model comparisons? dataset and model analysis. CoRR Jeonghun Baek, Geewook Kim, Junyeop Lee, Sungrae Park, Dongyoon Han, Sangdoo Yun, Seong Joon Oh, Hwalsuk Lee
2018	J	`jnl`	Action-Driven Visual Object Tracking With Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, Jin Young Choi
2018	J	`jnl`	Concentrated-Comprehensive Convolutions for lightweight semantic segmentation. CoRR Hyojin Park, Youngjoon Yoo, Geonseok Seo, Dongyoon Han, Sangdoo Yun, Nojun Kwak
2018	A*	`conf`	Context-Aware Deep Feature Compression for High-Speed Visual Tracking. CVPR Jongwon Choi, Hyung Jin Chang, Tobias Fischer, Sangdoo Yun, Kyuewang Lee, Jiyeoup Jeong, Yiannis Demiris, Jin Young Choi
2018	J	`jnl`	Context-aware Deep Feature Compression for High-speed Visual Tracking. CoRR Jongwon Choi, Hyung Jin Chang, Tobias Fischer, Sangdoo Yun, Kyuewang Lee, Jiyeoup Jeong, Yiannis Demiris, Jin Young Choi
2018	J	`jnl`	Knowledge Distillation with Adversarial Samples Supporting Decision Boundary. CoRR Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi
2018	J	`jnl`	Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons. CoRR Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi
2018	B	`conf`	Selective Ensemble Network for Accurate Crowd Density Estimation. ICPR Jiyeoup Jeong, Hawook Jeong, Jongin Lim, Jongwon Choi, Sangdoo Yun, Jin Young Choi
2018	—	`conf`	The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) 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, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, João F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhenhua Feng, Zhihui Wang, Zhiqun He
2018	—	`conf`	Unsupervised Holistic Image Generation from Key Local Patches. ECCV (5) Donghoon Lee, Sangdoo Yun, Sungjoon Choi, Hwiyeon Yoo, Ming-Hsuan Yang, Songhwai Oh
2018	—	`conf`	VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results. ECCV Workshops (5) Longyin Wen, Pengfei Zhu, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Chenfeng Liu, Hao Cheng, Xiaoyu Liu, Wenya Ma, Qinqin Nie, Haotian Wu, Lianjie Wang, Asanka G. Perera, Baochang Zhang, Byeongho Heo, Chunlei Liu, Dongdong Li, Emmanouil Michail, Hanlin Chen, Hao Liu, Haojie Li, Ioannis Kompatsiaris, Jian Cheng, Jiaqing Fan, Jie Zhang, Jin Young Choi, Jing Li, Jinyu Yang, Jongwon Choi, Juanping Zhao, Jungong Han, Kaihua Zhang, Kaiwen Duan, Ke Song, Konstantinos Avgerinakis, Kyuewang Lee, Lu Ding, Martin Lauer, Panagiotis Giannakeris, Peizhen Zhang, Qiang Wang, Qianqian Xu, Qingming Huang, Qingshan Liu, Robert Laganière, Ruixin Zhang, Sangdoo Yun, Shengyin Zhu, Sihang Wu, Stefanos Vrochidis, Wei Tian, Wei Zhang, Weidong Chen, Weiming Hu, Wenhao Wang, Wenhua Zhang, Wenrui Ding, Xiaohao He, Xiaotong Li, Xin Zhang, Xinbin Luo, Xixi Hu, Yang Meng, Yangliu Kuai, Yanyun Zhao, Yaxuan Li, Yifan Yang, Yifan Zhang, Yong Wang, Yuankai Qi, Zhipeng Deng, Zhiqun He
2017	A*	`conf`	Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning. CVPR Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, Jin Young Choi
2017	A*	`conf`	Attentional Correlation Filter Network for Adaptive Visual Tracking. CVPR Jongwon Choi, Hyung Jin Chang, Sangdoo Yun, Tobias Fischer, Yiannis Demiris, Jin Young Choi
2017	J	`jnl`	Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation. CoRR Young Joon Yoo, Seonguk Park, Junyoung Choi, Sangdoo Yun, Nojun Kwak
2017	—	`conf`	PaletteNet: Image Recolorization with Given Color Palette. CVPR Workshops Junho Cho, Sangdoo Yun, Kyoungmu Lee, Jin Young Choi
2017	J	`jnl`	Unsupervised Holistic Image Generation from Key Local Patches. CoRR Donghoon Lee, Sangdoo Yun, Sungjoon Choi, Hwiyeon Yoo, Ming-Hsuan Yang, Songhwai Oh
2017	A*	`conf`	Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold. CVPR Youngjoon Yoo, Sangdoo Yun, Hyung Jin Chang, Yiannis Demiris, Jin Young Choi
2016	B	`conf`	Attention-inspired moving object detection in monocular dashcam videos. ICPR Kimin Yun, Jongin Lim, Sangdoo Yun, Soo Wan Kim, Jin Young Choi
2016	—	`conf`	Density-Aware Pedestrian Proposal Networks for Robust People Detection in Crowded Scenes. ECCV Workshops (2) Sangdoo Yun, Kimin Yun, Jongwon Choi, Jin Young Choi
2016	A*	`conf`	Visual Path Prediction in Complex Scenes with Crowded Moving Objects. CVPR Young Joon Yoo, Kimin Yun, Sangdoo Yun, Jonghee Hong, Hawook Jeong, Jin Young Choi
2016	A	`conf`	Voting-based 3D object cuboid detection robust to partial occlusion from RGB-D images. WACV Sangdoo Yun, Hawook Jeong, Soo Wan Kim, Jin Young Choi
2015	A	`conf`	Category Attentional Search for Fast Object Detection by Mimicking Human Visual Perception. WACV Hawook Jeong, Sangdoo Yun, Kwang Moo Yi, Jin Young Choi
2014	B	`conf`	Multi-task learning with over-sampled time-series representation of a trajectory for traffic motion pattern recognition. AVSS Tushar Sandhan, Young Joon Yoo, Hanjoo Yoo, Sangdoo Yun, Moonsub Byeon
2014	B	`conf`	Self-Organizing Cascaded Structure of Deformable Part Models for Fast Object Detection. ICPR Sangdoo Yun, Hawook Jeong, Woo-Sung Kang, Byeongho Heo, Jin Young Choi
2014	B	`conf`	Visual surveillance briefing system: Event-based video retrieval and summarization. AVSS Sangdoo Yun, Kimin Yun, Soo Wan Kim, Youngjoon Yoo, Jiyeoup Jeong
2012	Misc	`conf`	Multiple ground plane estimation for 3D scene understanding using a monocular camera. IVCNZ Sangdoo Yun, Soo Wan Kim, Kwang Moo Yi, Haan-Ju Yoo, Jin Young Choi