Sangdoo Yun

According to our database, Sangdoo Yun authored at least 85 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Targeted Cause Discovery with Data-Driven Learning.

Jang-Hyun Kim, Claudia Skok Gibbs, Sangdoo Yun, Hyun Oh Song, Kyunghyun Cho

CoRR, 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

CoRR, 2024

Unveiling Disparities in Web Task Handling Between Human and Web Agent.

Kihoon Son, Jinhyeon Kwon, Daeun Choi, Tae Soo Kim, Young-Ho Kim, Sangdoo Yun, Juho Kim

CoRR, 2024

HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts.

Wonjae Kim, Sanghyuk Chun, Taekyung Kim, Dongyoon Han, Sangdoo Yun

CoRR, 2024

Rotary Position Embedding for Vision Transformer.

Byeongho Heo, Song Park, Dongyoon Han, Sangdoo Yun

CoRR, 2024

Toward Interactive Regional Understanding in Vision-Large Language Models.

Jungbeom Lee, Sanghyuk Chun, Sangdoo Yun

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Compressed Context Memory for Online Language Model Interaction.

Jang-Hyun Kim, Junyoung Yeom, Sangdoo Yun, Hyun Oh Song

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models.

Seungone Kim, Jamin Shin, Yejin Choi, Joel Jang, Shayne Longpre, Hwaran Lee, Sangdoo Yun, Seongjin Shin, Sungdong Kim, James Thorne, Minjoon Seo

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Model Stock: All We Need Is Just a Few Fine-Tuned Models.

Dong-Hwan Jang, Sangdoo Yun, Dongyoon Han

Proceedings of the Computer Vision - ECCV 2024, 2024

Language-only Efficient Training of Zero-shot Composed Image Retrieval.

Geonmo Gu, Sanghyuk Chun, Wonjae Kim, Yoohoon Kang, Sangdoo Yun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Calibrating Large Language Models Using Their Generations Only.

Dennis Ulmer, Martin Gubri, Hwaran Lee, Sangdoo Yun, Seong Joon Oh

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Who Wrote this Code? Watermarking for Code Generation.

Taehyun Lee, Seokhee Hong, Jaewoo Ahn, Ilgee Hong, Hwaran Lee, Sangdoo Yun, Jamin Shin, Gunhee Kim

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification.

Martin Gubri, Dennis Ulmer, Hwaran Lee, Sangdoo Yun, Seong Joon Oh

Proceedings of the Findings of the Association for Computational Linguistics, 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

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Match me if you can: Semantic Correspondence Learning with Unpaired Images.

Jiwon Kim, Byeongho Heo, Sangdoo Yun, Seungryong Kim, 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

Augmenting Sub-model to Improve Main Model.

Byeongho Heo, Taekyung Kim, Sangdoo Yun, Dongyoon Han

CoRR, 2023

Cream: Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models.

Geewook Kim, Hodong Lee, Daehee Kim, Haeji Jung, Sanghee Park, Yoonsik Kim, Sangdoo Yun, Taeho Kil, Bado Lee, Seunghyun Park

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

CoRR, 2023

Neural Relation Graph for Identifying Problematic Data.

Jang-Hyun Kim, Sangdoo Yun, Hyun Oh Song

CoRR, 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: A Unified Framework for Identifying Label Noise and Outlier Data.

Jang-Hyun Kim, Sangdoo Yun, Hyun Oh Song

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ProPILE: Probing Privacy Leakage in Large Language Models.

Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

What Do Self-Supervised Vision Transformers Learn?

Namuk Park, Wonjae Kim, Byeongho Heo, Taekyung Kim, Sangdoo Yun

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Exploring Temporally Dynamic Data Augmentation for Video Recognition.

Taeoh Kim, Jinhyung Kim, Minho Shim, Sangdoo Yun, Myunggu Kang, Dongyoon Wee, Sangyoun Lee

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage.

Song Park, Sanghyuk Chun, Byeongho Heo, Wonjae Kim, Sangdoo Yun

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models.

Geewook Kim, Hodong Lee, Daehee Kim, Haeji Jung, Sanghee Park, Yoonsik Kim, Sangdoo Yun, Taeho Kil, Bado Lee, Seunghyun Park

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MPCHAT: Towards Multimodal Persona-Grounded Conversation.

Jaewoo Ahn, Yeda Song, Sangdoo Yun, Gunhee Kim

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

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

How Much a Model be Trained by Passive Learning Before Active Learning?

Dae Ung Jo, Sangdoo Yun, Jin Young Choi

IEEE Access, 2022

A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective.

Chanwoo Park, Sangdoo Yun, Sanghyuk Chun

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Dataset Condensation with Contrastive Signals.

Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon

Proceedings of the International Conference on Machine Learning, 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, Hyun Oh Song

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the Tenth International Conference on Learning Representations, 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

Proceedings of the Computer Vision - ECCV 2022, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning.

Jongin Lim, Sangdoo Yun, Seulki Park, Jin Young Choi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Weakly Supervised Semantic Segmentation using Out-of-Distribution Data.

Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Region-based dropout with attention prior for weakly supervised object localization.

Junsuk Choe, Dongyoon Han, Sangdoo Yun, Jung-Woo Ha, Seong Joon Oh, Hyunjung Shim

Pattern Recognit., 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

CoRR, 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

Detecting and Removing Text in the Wild.

Junho Cho, Sangdoo Yun, Dongyoon Han, Byeongho Heo, Jin Young Choi

IEEE Access, 2021

Progressive Transmission and Inference of Deep Learning Models.

Youngsoo Lee, Sangdoo Yun, Yeonghun Kim, Sunghee Choi

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 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

Proceedings of the 9th International Conference on Learning Representations, 2021

Normalization Matters in Weakly Supervised Object Localization.

Jeesoo Kim, Junsuk Choe, Sangdoo Yun, Nojun Kwak

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Rethinking Spatial Dimensions of Vision Transformers.

Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Rethinking Channel Dimensions for Efficient Model Design.

Dongyoon Han, Sangdoo Yun, Byeongho Heo, Youngjoon Yoo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

VideoMix: Rethinking Data Augmentation for Video Classification.

Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Jinhyung Kim

CoRR, 2020

ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network.

Dongyoon Han, Sangdoo Yun, Byeongho Heo, Young Joon 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

CoRR, 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

Learning De-biased Representations with Biased Representations.

Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling.

Young Joon Yoo, Sanghyuk Chun, Sangdoo Yun, Jung-Woo Ha, Jaejun Yoo

CoRR, 2019

EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse.

Young Joon Yoo, Dongyoon Han, Sangdoo Yun

CoRR, 2019

CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features.

Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Seong Joon Oh, Youngjoon Yoo, Junsuk Choe

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Comprehensive Overhaul of Feature Distillation.

Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Character Region Awareness for Text Detection.

Youngmin Baek, Bado Lee, Dongyoon Han, Sangdoo Yun, Hwalsuk Lee

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons.

Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary.

Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Action-Driven Visual Object Tracking With Deep Reinforcement Learning.

Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, Jin Young Choi

IEEE Trans. Neural Networks Learn. Syst., 2018

Concentrated-Comprehensive Convolutions for lightweight semantic segmentation.

Hyojin Park, Youngjoon Yoo, Geonseok Seo, Dongyoon Han, Sangdoo Yun, Nojun Kwak

CoRR, 2018

Selective Ensemble Network for Accurate Crowd Density Estimation.

Jiyeoup Jeong, Hawook Jeong, Jongin Lim, Jongwon Choi, Sangdoo Yun, Jin Young Choi

Proceedings of the 24th International Conference on Pattern Recognition, 2018

VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results.

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

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Unsupervised Holistic Image Generation from Key Local Patches.

Donghoon Lee, Sangdoo Yun, Sungjoon Choi, Hwiyeon Yoo, Ming-Hsuan Yang, Songhwai Oh

Proceedings of the Computer Vision - ECCV 2018, 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, 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 S. 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

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Context-Aware Deep Feature Compression for High-Speed Visual Tracking.

Jongwon Choi, Hyung Jin Chang, Tobias Fischer, Sangdoo Yun, Kyuewang Lee, Jiyeoup Jeong, Yiannis Demiris, Jin Young Choi

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

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

Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning.

Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, Jin Young Choi

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Attentional Correlation Filter Network for Adaptive Visual Tracking.

Jongwon Choi, Hyung Jin Chang, Sangdoo Yun, Tobias Fischer, Yiannis Demiris, Jin Young Choi

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

PaletteNet: Image Recolorization with Given Color Palette.

Junho Cho, Sangdoo Yun, Kyoungmu Lee, Jin Young Choi

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

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

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Attention-inspired moving object detection in monocular dashcam videos.

Kimin Yun, Jongin Lim, Sangdoo Yun, Soo Wan Kim, Jin Young Choi

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Density-Aware Pedestrian Proposal Networks for Robust People Detection in Crowded Scenes.

Sangdoo Yun, Kimin Yun, Jongwon Choi, Jin Young Choi

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Visual Path Prediction in Complex Scenes with Crowded Moving Objects.

Young Joon Yoo, Kimin Yun, Sangdoo Yun, Jonghee Hong, Hawook Jeong, Jin Young Choi

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Category Attentional Search for Fast Object Detection by Mimicking Human Visual Perception.

Hawook Jeong, Sangdoo Yun, Kwang Moo Yi, Jin Young Choi

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

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

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Visual surveillance briefing system: Event-based video retrieval and summarization.

Sangdoo Yun, Kimin Yun, Soo Wan Kim, Youngjoon Yoo, Jiyeoup Jeong

Proceedings of the 11th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2014

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

Proceedings of the 11th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2014

2012

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

Proceedings of the Image and Vision Computing New Zealand, 2012