Sanghyuk Chun - RankMe

90 papers A* 25Misc 1Journal 54Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Reinforced Fast Weights with Next-Sequence Prediction. CoRR Hee Seung Hwang, Xindi Wu, Sanghyuk Chun, Olga Russakovsky
2025	J	`jnl`	DNNs May Determine Major Properties of Their Outputs Early, with Timing Possibly Driven by Bias. CoRR Song Park, Sanghyuk Chun, Byeongho Heo, Dongyoon Han
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`	FairDRO: Group fairness regularization via classwise robust optimization. Neural Networks Taeeon Park, Sangwon Jung, Sanghyuk Chun, Taesup Moon
2025	J	`jnl`	LongProLIP: A Probabilistic Vision-Language Model with Long Context Text. CoRR Sanghyuk Chun, Sangdoo Yun
2025	J	`jnl`	Mitigating Cross-Image Information Leakage in LVLMs for Multi-Image Tasks. CoRR Yeji Park, Minyoung Lee, Sanghyuk Chun, Junsuk Choe
2025	J	`jnl`	Multiplicity is an Inevitable and Inherent Challenge in Multimodal Learning. CoRR Sanghyuk Chun
2025	A*	`conf`	Probabilistic Language-Image Pre-Training. ICLR Sanghyuk Chun, Wonjae Kim, Song Park, Sangdoo Yun
2025	A*	`conf`	Read, Watch and Scream! Sound Generation from Text and Video. AAAI Yujin Jeong, Yunji Kim, Sanghyuk Chun, Jiyoung Lee
2025	J	`jnl`	Seeing What You Say: Expressive Image Generation from Speech. CoRR Jiyoung Lee, Song Park, Sanghyuk Chun, Soo-Whan Chung
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`	Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? - A Theoretical and Empirical Study. NeurIPS Sangwon Jung, Sumin Yu, Sanghyuk Chun, Taesup Moon
2024	J	`jnl`	Few-Shot Font Generation With Weakly Supervised Localized Representations. IEEE Trans. Pattern Anal. Mach. Intell. Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim
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`	Improved Probabilistic Image-Text Representations. ICLR Sanghyuk Chun
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`	Learning with Unmasked Tokens Drives Stronger Vision Learners. ECCV (34) Taekyung Kim, Sanghyuk Chun, Byeongho Heo, Dongyoon Han
2024	J	`jnl`	Probabilistic Language-Image Pre-Training. CoRR Sanghyuk Chun, Wonjae Kim, Song Park, Sangdoo Yun
2024	J	`jnl`	Read, Watch and Scream! Sound Generation from Text and Video. CoRR Yujin Jeong, Yunji Kim, Sanghyuk Chun, Jiyoung Lee
2024	J	`jnl`	Reducing Task Discrepancy of Text Encoders for Zero-Shot Composed Image Retrieval. CoRR Jaeseok Byun, Seokhyeon Jeong, Wonjae Kim, Sanghyuk Chun, Taesup Moon
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`	Similarity of Neural Architectures Using Adversarial Attack Transferability. ECCV (68) Jaehui Hwang, Dongyoon Han, Byeongho Heo, Song Park, Sanghyuk Chun, Jong-Seok Lee
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`	What does automatic differentiation compute for neural networks? ICLR Sejun Park, Sanghyuk Chun, Wonyeol Lee
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`	Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. IEEE Trans. Pattern Anal. Mach. Intell. Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Seungho Lee, Zeynep Akata, Hyunjung Shim
2023	J	`jnl`	Improved Probabilistic Image-Text Representations. CoRR Sanghyuk Chun
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	J	`jnl`	Longer-range Contextualized Masked Autoencoder. CoRR Taekyung Kim, Sanghyuk Chun, Byeongho Heo, Dongyoon Han
2023	A*	`conf`	Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization. ICLR Sangwon Jung, Taeeon Park, Sanghyuk Chun, Taesup Moon
2023	J	`jnl`	Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization. CoRR Sangwon Jung, Taeeon Park, Sanghyuk Chun, Taesup Moon
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
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	J	`jnl`	An Extendable, Efficient and Effective Transformer-based Object Detector. CoRR Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang
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	—	`conf`	Domain Generalization by Mutual-Information Regularization with Pre-trained Models. ECCV (23) Junbum Cha, Kyungjae Lee, Sungrae Park, Sanghyuk Chun
2022	J	`jnl`	Domain Generalization by Mutual-Information Regularization with Pre-trained Models. CoRR Junbum Cha, Kyungjae Lee, Sungrae Park, Sanghyuk Chun
2022	—	`conf`	ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-verified Image-Caption Associations for MS-COCO. ECCV (8) Sanghyuk Chun, Wonjae Kim, Song Park, Minsuk Chang, Seong Joon Oh
2022	J	`jnl`	ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-verified Image-Caption Associations for MS-COCO. CoRR Sanghyuk Chun, Wonjae Kim, Song Park, Minsuk Chang, Seong Joon Oh
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	A*	`conf`	Learning Fair Classifiers with Partially Annotated Group Labels. CVPR Sangwon Jung, Sanghyuk Chun, Taesup Moon
2022	J	`jnl`	Similarity of Neural Architectures Based on Input Gradient Transferability. CoRR Jaehui Hwang, Dongyoon Han, Byeongho Heo, Song Park, Sanghyuk Chun, Jong-Seok Lee
2022	A*	`conf`	ViDT: An Efficient and Effective Fully Transformer-based Object Detector. ICLR Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang
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	A*	`conf`	Few-shot Font Generation with Localized Style Representations and Factorization. AAAI Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim
2021	J	`jnl`	Few-shot Font Generation with Weakly Supervised Localized Representations. CoRR Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim
2021	J	`jnl`	Learning Fair Classifiers with Partially Annotated Group Labels. CoRR Sangwon Jung, Sanghyuk Chun, Taesup Moon
2021	A*	`conf`	Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts. ICCV Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim
2021	J	`jnl`	Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts. CoRR Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim
2021	A*	`conf`	Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions. NeurIPS Michael Poli, Stefano Massaroli, Luca Scimeca, Sanghyuk Chun, Seong Joon Oh, Atsushi Yamashita, Hajime Asama, Jinkyoo Park, Animesh Garg
2021	J	`jnl`	Neural Hybrid Automata: Learning Dynamics with Multiple Modes and Stochastic Transitions. CoRR Michael Poli, Stefano Massaroli, Luca Scimeca, Seong Joon Oh, Sanghyuk Chun, Atsushi Yamashita, Hajime Asama, Jinkyoo Park, Animesh Garg
2021	A*	`conf`	Probabilistic Embeddings for Cross-Modal Retrieval. CVPR Sanghyuk Chun, Seong Joon Oh, Rafael Sampaio de Rezende, Yannis Kalantidis, Diane Larlus
2021	J	`jnl`	Probabilistic Embeddings for Cross-Modal Retrieval. CoRR Sanghyuk Chun, Seong Joon Oh, Rafael Sampaio de Rezende, Yannis Kalantidis, Diane Larlus
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	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	A*	`conf`	SWAD: Domain Generalization by Seeking Flat Minima. NeurIPS Junbum Cha, Sanghyuk Chun, Kyungjae Lee, Han-Cheol Cho, Seunghyun Park, Yunsung Lee, Sungrae Park
2021	J	`jnl`	StyleAugment: Learning Texture De-biased Representations by Style Augmentation without Pre-defined Textures. CoRR Sanghyuk Chun, Song Park
2021	J	`jnl`	ViDT: An Efficient and Effective Fully Transformer-based Object Detector. CoRR Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang
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	Misc	`conf`	Data-Driven Harmonic Filters for Audio Representation Learning. ICASSP Minz Won, Sanghyuk Chun, Oriol Nieto, Xavier Serra
2020	A*	`conf`	Evaluating Weakly Supervised Object Localization Methods Right. CVPR Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim
2020	J	`jnl`	Evaluating Weakly Supervised Object Localization Methods Right. CoRR Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim
2020	J	`jnl`	Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. CoRR Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim
2020	—	`conf`	Few-Shot Compositional Font Generation with Dual Memory. ECCV (19) Junbum Cha, Sanghyuk Chun, Gayoung Lee, Bado Lee, Seonghyeon Kim, Hwalsuk Lee
2020	J	`jnl`	Few-shot Compositional Font Generation with Dual Memory. CoRR Junbum Cha, Sanghyuk Chun, Gayoung Lee, Bado Lee, Seonghyeon Kim, Hwalsuk Lee
2020	J	`jnl`	Few-shot Font Generation with Localized Style Representations and Factorization. CoRR Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim
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`	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
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`	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	A*	`conf`	Photorealistic Style Transfer via Wavelet Transforms. ICCV Jaejun Yoo, Youngjung Uh, Sanghyuk Chun, Byeongkyu Kang, Jung-Woo Ha
2019	J	`jnl`	Photorealistic Style Transfer via Wavelet Transforms. CoRR Jaejun Yoo, Youngjung Uh, Sanghyuk Chun, Byeongkyu Kang, Jung-Woo Ha
2019	J	`jnl`	Toward Interpretable Music Tagging with Self-Attention. CoRR Minz Won, Sanghyuk Chun, Xavier Serra
2019	J	`jnl`	Visualizing and Understanding Self-attention based Music Tagging. CoRR Minz Won, Sanghyuk Chun, Xavier Serra
2018	J	`jnl`	Multi-Domain Processing via Hybrid Denoising Networks for Speech Enhancement. CoRR Jang-Hyun Kim, Jaejun Yoo, Sanghyuk Chun, Adrian Kim, Jung-Woo Ha
2017	—	`conf`	A study on intelligent personalized push notification with user history. IEEE BigData Hyunjong Lee, Youngin Jo, Sanghyuk Chun, KwangSeob Kim