Sangdoo Yun

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 113

Top Venues

Publications

Kihoon Son, Jinhyeon Kwon, Daeun Choi, Tae Soo Kim, Young-Ho Kim, Sangdoo Yun, Juho Kim
Unveiling Disparities in Web Task Handling Between Human and Web Agent. CoRR (2024)
Byeongho Heo, Song Park, Dongyoon Han, Sangdoo Yun
Rotary Position Embedding for Vision Transformer. CoRR (2024)
Martin Gubri, Dennis Ulmer, Hwaran Lee, Sangdoo Yun, Seong Joon Oh
TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification. ACL (Findings) (2024)
Jungbeom Lee, Sanghyuk Chun, Sangdoo Yun
Toward Interactive Regional Understanding in Vision-Large Language Models. CoRR (2024)
Dong-Hwan Jang, Sangdoo Yun, Dongyoon Han
Model Stock: All we need is just a few fine-tuned models. CoRR (2024)
Geonmo Gu, Sanghyuk Chun, Wonjae Kim, HeeJae Jun, Yoohoon Kang, Sangdoo Yun
CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion. Trans. Mach. Learn. Res. 2024 (2024)
Dennis Ulmer, Martin Gubri, Hwaran Lee, Sangdoo Yun, Seong Joon Oh
Calibrating Large Language Models Using Their Generations Only. CoRR (2024)
Jungbeom Lee, Sanghyuk Chun, Sangdoo Yun
Toward Interactive Regional Understanding in Vision-Large Language Models. NAACL-HLT (2024)
Jang-Hyun Kim, Junyoung Yeom, Sangdoo Yun, Hyun Oh Song
Compressed Context Memory for Online Language Model Interaction. ICLR (2024)
Martin Gubri, Dennis Ulmer, Hwaran Lee, Sangdoo Yun, Seong Joon Oh
TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification. CoRR (2024)
Seungone Kim, Jamin Shin, Yejin Choi, Joel Jang, Shayne Longpre, Hwaran Lee, Sangdoo Yun, Seongjin Shin, Sungdong Kim, James Thorne, Minjoon Seo
Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models. ICLR (2024)
Taehyun Lee, Seokhee Hong, Jaewoo Ahn, Ilgee Hong, Hwaran Lee, Sangdoo Yun, Jamin Shin, Gunhee Kim
Who Wrote this Code? Watermarking for Code Generation. ACL (1) (2024)
Jaewoo Ahn, Taehyun Lee, Junyoung Lim, Jin-Hwa Kim, Sangdoo Yun, Hwaran Lee, Gunhee Kim
TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models. CoRR (2024)
Wonjae Kim, Sanghyuk Chun, Taekyung Kim, Dongyoon Han, Sangdoo Yun
HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts. CoRR (2024)
Jaewoo Ahn, Taehyun Lee, Junyoung Lim, Jin-Hwa Kim, Sangdoo Yun, Hwaran Lee, Gunhee Kim
TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models. ACL (Findings) (2024)
Yong-Hyun Park, Sangdoo Yun, Jin-Hwa Kim, Junho Kim, Geonhui Jang, Yonghyun Jeong, Junghyo Jo, Gayoung Lee
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models. CoRR (2024)
Gyeongsik Moon, Hongsuk Choi, Sanghyuk Chun, Jiyoung Lee, Sangdoo Yun
Three Recipes for Better 3D Pseudo-GTs of 3D Human Mesh Estimation in the Wild. CVPR Workshops (2023)
Dongyoon Han, Junsuk Choe, Seonghyeok Chun, John Joon Young Chung, Minsuk Chang, Sangdoo Yun, Jean Y. Song, Seong Joon Oh
Neglected Free Lunch - Learning Image Classifiers Using Annotation Byproducts. ICCV (2023)
Geewook Kim, Hodong Lee, Daehee Kim, Haeji Jung, Sanghee Park, Yoonsik Kim, Sangdoo Yun, Taeho Kil, Bado Lee, Seunghyun Park
Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models. EMNLP (2023)
Jang-Hyun Kim, Junyoung Yeom, Sangdoo Yun, Hyun Oh Song
Compressed Context Memory For Online Language Model Interaction. CoRR (2023)
Seulki Park, Daeho Um, Hajung Yoon, Sanghyuk Chun, Sangdoo Yun, Jin Young Choi
RoCOCO: Robust Benchmark MS-COCO to Stress-test Robustness of Image-Text Matching Models. CoRR (2023)
Song Park, Sanghyuk Chun, Byeongho Heo, Wonjae Kim, Sangdoo Yun
SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage. CoRR (2023)
Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh
ProPILE: Probing Privacy Leakage in Large Language Models. NeurIPS (2023)
Seungone Kim, Jamin Shin, Yejin Cho, Joel Jang, Shayne Longpre, Hwaran Lee, Sangdoo Yun, Seongjin Shin, Sungdong Kim, James Thorne, Minjoon Seo
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models. CoRR (2023)
Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh
ProPILE: Probing Privacy Leakage in Large Language Models. CoRR (2023)
Jiwon Kim, Byeongho Heo, Sangdoo Yun, Seungryong Kim, Dongyoon Han
Match me if you can: Semantic Correspondence Learning with Unpaired Images. CoRR (2023)
Taeoh Kim, Jinhyung Kim, Minho Shim, Sangdoo Yun, Myunggu Kang, Dongyoon Wee, Sangyoun Lee
Exploring Temporally Dynamic Data Augmentation for Video Recognition. ICLR (2023)
Jang-Hyun Kim, Sangdoo Yun, Hyun Oh Song
Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data. NeurIPS (2023)
Dongyoon Han, Junsuk Choe, Seonghyeok Chun, John Joon Young Chung, Minsuk Chang, Sangdoo Yun, Jean Y. Song, Seong Joon Oh
Neglected Free Lunch; Learning Image Classifiers Using Annotation Byproducts. CoRR (2023)
Geonmo Gu, Sanghyuk Chun, Wonjae Kim, HeeJae Jun, Yoohoon Kang, Sangdoo Yun
CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion. CoRR (2023)
Jang-Hyun Kim, Sangdoo Yun, Hyun Oh Song
Neural Relation Graph for Identifying Problematic Data. CoRR (2023)
Geewook Kim, Hodong Lee, Daehee Kim, Haeji Jung, Sanghee Park, Yoonsik Kim, Sangdoo Yun, Taeho Kil, Bado Lee, Seunghyun Park
Cream: Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models. CoRR (2023)
Jaewoo Ahn, Yeda Song, Sangdoo Yun, Gunhee Kim
MPCHAT: Towards Multimodal Persona-Grounded Conversation. ACL (1) (2023)
Namuk Park, Wonjae Kim, Byeongho Heo, Taekyung Kim, Sangdoo Yun
What Do Self-Supervised Vision Transformers Learn? ICLR (2023)
Song Park, Sanghyuk Chun, Byeongho Heo, Wonjae Kim, Sangdoo Yun
SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage. ICCV (2023)
Byeongho Heo, Taekyung Kim, Sangdoo Yun, Dongyoon Han
Augmenting Sub-model to Improve Main Model. CoRR (2023)
Jaewoo Ahn, Yeda Song, Sangdoo Yun, Gunhee Kim
MPCHAT: Towards Multimodal Persona-Grounded Conversation. CoRR (2023)
Taehyun Lee, Seokhee Hong, Jaewoo Ahn, Ilgee Hong, Hwaran Lee, Sangdoo Yun, Jamin Shin, Gunhee Kim
Who Wrote this Code? Watermarking for Code Generation. CoRR (2023)
Gyeongsik Moon, Hongsuk Choi, Sanghyuk Chun, Jiyoung Lee, Sangdoo Yun
Three Recipes for Better 3D Pseudo-GTs of 3D Human Mesh Estimation in the Wild. CoRR (2023)
Geonmo Gu, Sanghyuk Chun, Wonjae Kim, Yoohoon Kang, Sangdoo Yun
Language-only Efficient Training of Zero-shot Composed Image Retrieval. CoRR (2023)
Joonhyun Jeong, Sungmin Cha, Jongwon Choi, Sangdoo Yun, Taesup Moon, Youngjoon Yoo
Observations on K-Image Expansion of Image-Mixing Augmentation. IEEE Access 11 (2023)
Namuk Park, Wonjae Kim, Byeongho Heo, Taekyung Kim, Sangdoo Yun
What Do Self-Supervised Vision Transformers Learn? CoRR (2023)
Taeoh Kim, Jinhyung Kim, Minho Shim, Sangdoo Yun, Myunggu Kang, Dongyoon Wee, Sangyoun Lee
Exploring Temporally Dynamic Data Augmentation for Video Recognition. CoRR (2022)
Chanwoo Park, Sangdoo Yun, Sanghyuk Chun
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective. NeurIPS (2022)
Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon
Dataset Condensation with Contrastive Signals. CoRR (2022)
Geewook Kim, Teakgyu Hong, Moonbin Yim, JeongYeon Nam, Jinyoung Park, Jinyeong Yim, Wonseok Hwang, Sangdoo Yun, Dongyoon Han, Seunghyun Park
OCR-Free Document Understanding Transformer. ECCV (28) (2022)
Dae Ung Jo, Sangdoo Yun, Jin Young Choi
How Much a Model be Trained by Passive Learning Before Active Learning? IEEE Access 10 (2022)
Jongin Lim, Sangdoo Yun, Seulki Park, Jin Young Choi
Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning. CVPR (2022)
Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon
Dataset Condensation with Contrastive Signals. ICML (2022)
Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song
Dataset Condensation via Efficient Synthetic-Data Parameterization. ICML (2022)
Chanwoo Park, Sangdoo Yun, Sanghyuk Chun
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective. CoRR (2022)
Seulki Park, Youngkyu Hong, Byeongho Heo, Sangdoo Yun, Jin Young Choi
The Majority Can Help the Minority: Context-rich Minority Oversampling for Long-tailed Classification. CVPR (2022)
Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. CoRR (2022)
Luca Scimeca, Seong Joon Oh, Sanghyuk Chun, Michael Poli, Sangdoo Yun
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective. ICLR (2022)
Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song
Dataset Condensation via Efficient Synthetic-Data Parameterization. CoRR (2022)
Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. CVPR (2022)
Byungsoo Ko, Han-Gyu Kim, Byeongho Heo, Sangdoo Yun, Sanghyuk Chun, Geonmo Gu, Wonjae Kim
Group Generalized Mean Pooling for Vision Transformer. CoRR (2022)
Junho Cho, Sangdoo Yun, Dongyoon Han, Byeongho Heo, Jin Young Choi
Detecting and Removing Text in the Wild. IEEE Access 9 (2021)
Junsuk Choe, Dongyoon Han, Sangdoo Yun, Jung-Woo Ha, Seong Joon Oh, Hyunjung Shim
Region-based dropout with attention prior for weakly supervised object localization. Pattern Recognit. 116 (2021)
Luca Scimeca, Seong Joon Oh, Sanghyuk Chun, Michael Poli, Sangdoo Yun
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective. CoRR (2021)
Dongyoon Han, Sangdoo Yun, Byeongho Heo, Youngjoon Yoo
Rethinking Channel Dimensions for Efficient Model Design. CVPR (2021)
Youngsoo Lee, Sangdoo Yun, Yeonghun Kim, Sunghee Choi
Progressive Transmission and Inference of Deep Learning Models. ICMLA (2021)
Jeesoo Kim, Junsuk Choe, Sangdoo Yun, Nojun Kwak
Normalization Matters in Weakly Supervised Object Localization. ICCV (2021)
Geewook Kim, Teakgyu Hong, Moonbin Yim, Jinyoung Park, Jinyeong Yim, Wonseok Hwang, Sangdoo Yun, Dongyoon Han, Seunghyun Park
Donut: Document Understanding Transformer without OCR. CoRR (2021)
Joonhyun Jeong, Sungmin Cha, Youngjoon Yoo, Sangdoo Yun, Taesup Moon, Jongwon Choi
Observations on K-image Expansion of Image-Mixing Augmentation for Classification. CoRR (2021)
Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Junsuk Choe, Sanghyuk Chun
Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels. CVPR (2021)
Jeesoo Kim, Junsuk Choe, Sangdoo Yun, Nojun Kwak
Normalization Matters in Weakly Supervised Object Localization. CoRR (2021)
Seulki Park, Youngkyu Hong, Byeongho Heo, Sangdoo Yun, Jin Young Choi
The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification. CoRR (2021)
Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh
Rethinking Spatial Dimensions of Vision Transformers. CoRR (2021)
Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Junsuk Choe, Sanghyuk Chun
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels. CoRR (2021)
Youngsoo Lee, Sangdoo Yun, Yeonghun Kim, Sunghee Choi
Progressive Transmission and Inference of Deep Learning Models. CoRR (2021)
Byeongho Heo, Sanghyuk Chun, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Gyuwan Kim, Youngjung Uh, Jung-Woo Ha
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights. ICLR (2021)
Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh
Rethinking Spatial Dimensions of Vision Transformers. ICCV (2021)
Byeongho Heo, Sanghyuk Chun, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Youngjung Uh, Jung-Woo Ha
Slowing Down the Weight Norm Increase in Momentum-based Optimizers. CoRR (2020)
Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh
Learning De-biased Representations with Biased Representations. ICML (2020)
Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Jinhyung Kim
VideoMix: Rethinking Data Augmentation for Video Classification. CoRR (2020)
Sanghyuk Chun, Seong Joon Oh, Sangdoo Yun, Dongyoon Han, Junsuk Choe, Youngjoon Yoo
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods. CoRR (2020)
Dongyoon Han, Sangdoo Yun, Byeongho Heo, Young Joon Yoo
ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network. CoRR (2020)
Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi
A Comprehensive Overhaul of Feature Distillation. ICCV (2019)
Jeonghun Baek, Geewook Kim, Junyeop Lee, Sungrae Park, Dongyoon Han, Sangdoo Yun, Seong Joon Oh, Hwalsuk Lee
What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis. ICCV (2019)
Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi
A Comprehensive Overhaul of Feature Distillation. CoRR (2019)
Young Joon Yoo, Sangdoo Yun, Hyung Jin Chang, Yiannis Demiris, Jin Young Choi
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold. CoRR (2019)
Young Joon Yoo, Sanghyuk Chun, Sangdoo Yun, Jung-Woo Ha, Jaejun Yoo
Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling. CoRR (2019)
Young Joon Yoo, Dongyoon Han, Sangdoo Yun
EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse. CoRR (2019)
Jeonghun Baek, Geewook Kim, Junyeop Lee, Sungrae Park, Dongyoon Han, Sangdoo Yun, Seong Joon Oh, Hwalsuk Lee
What is wrong with scene text recognition model comparisons? dataset and model analysis. CoRR (2019)
Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons. AAAI (2019)
Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Seong Joon Oh, Youngjoon Yoo, Junsuk Choe
CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features. ICCV (2019)
Youngmin Baek, Bado Lee, Dongyoon Han, Sangdoo Yun, Hwalsuk Lee
Character Region Awareness for Text Detection. CoRR (2019)
Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, Youngjoon Yoo
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features. CoRR (2019)
Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary. AAAI (2019)
Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh
Learning De-biased Representations with Biased Representations. CoRR (2019)
Youngmin Baek, Bado Lee, Dongyoon Han, Sangdoo Yun, Hwalsuk Lee
Character Region Awareness for Text Detection. CVPR (2019)
Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, Jin Young Choi
Action-Driven Visual Object Tracking With Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 29 (6) (2018)
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, Zhen-Hua Feng, Zhihui Wang, Zhiqun He
The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) (2018)
Jongwon Choi, Hyung Jin Chang, Tobias Fischer, Sangdoo Yun, Kyuewang Lee, Jiyeoup Jeong, Yiannis Demiris, Jin Young Choi
Context-Aware Deep Feature Compression for High-Speed Visual Tracking. CVPR (2018)
Donghoon Lee, Sangdoo Yun, Sungjoon Choi, Hwiyeon Yoo, Ming-Hsuan Yang, Songhwai Oh
Unsupervised Holistic Image Generation from Key Local Patches. ECCV (5) (2018)
Hyojin Park, Youngjoon Yoo, Geonseok Seo, Dongyoon Han, Sangdoo Yun, Nojun Kwak
Concentrated-Comprehensive Convolutions for lightweight semantic segmentation. CoRR (2018)
Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons. CoRR (2018)
Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary. CoRR (2018)
Jongwon Choi, Hyung Jin Chang, Tobias Fischer, Sangdoo Yun, Kyuewang Lee, Jiyeoup Jeong, Yiannis Demiris, Jin Young Choi
Context-aware Deep Feature Compression for High-speed Visual Tracking. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sangdoo Yun