Sangdoo Yun


Publications

2020

  • ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network
  • Dongyoon Han, Sangdoo Yun, Byeongho Heo, YoungJoon Yoo
  • arXiv, 2020.
  • [paper] [code] [project] [bibtex]
  • 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. (*Equal contribution)
  • arXiv, 2020.
  • [paper] [code] [project] [bibtex]
  • Learning De-biased Representations with Biased Representations
  • Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh
  • International Conference on Machine Learning (ICML), 2020.
  • [paper] [code] [bibtex]

2019

  • CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
  • Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, Youngjoon Yoo
  • IEEE International Conference on Computer Vision (ICCV), 2019. Oral presentation
  • [paper] [code] [talk] [poster] [blog post] [bibtex]
  • 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
  • IEEE International Conference on Computer Vision (ICCV), 2019. Oral presentation
  • [paper] [code] [bibtex]
  • A Comprehensive Overhaul of Feature Distillation
  • Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, and Jin Young Choi
  • IEEE International Conference on Computer Vision (ICCV), 2019.
  • [paper] [code] [bibtex]
  • An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods
  • Sanghyuk Chun, Seong Joon Oh, Sangdoo Yun, Dongyoon Han, Junsuk Choe, Youngjoon Yoo
  • Uncertainty & Robustness in Deep Learning, ICML Workshop, 2019.
  • [paper][bibtex]
  • Character Region Awareness for Text Detection
  • Youngmin Baek, Bado Lee, Dongyoon Han, Sangdoo Yun, and Hwalsuk Lee
  • IEEE Computer Vision and Pattern Recognition (CVPR), 2019.
  • [paper] [code] [bibtex]
  • Knowledge Distillation with Adversarial Samples Supporting Decision Boundary
  • Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi
  • Association for the Advancement of Artificial Intelligence (AAAI), 2019.
  • [paper] [code] [bibtex]
  • Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons
  • Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi
  • Association for the Advancement of Artificial Intelligence (AAAI), 2019. Oral presentation
  • [paper] [code] [bibtex]

2018

  • Unsupervised Holistic Image Generation from Key Local Patches
  • Donghoon Lee, Sangdoo Yun, Sungjoon Choi, Hwiyeon Yoo, Ming-Hsuan Yang, and Songhwai Oh
  • European Conference on Computer Vision (ECCV), 2018.
  • [paper] [code] [bibtex]
  • 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
  • IEEE Computer Vision and Pattern Recognition (CVPR), 2018.
  • [paper] [code] [bibtex]
  • Action-Driven Visual Object Tracking with Deep Reinforcement Learning
  • Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, and Jin Young Choi
  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018.
  • [bibtex]

2017

  • Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning
  • Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, and Jin Young Choi
  • IEEE Computer Vision and Pattern Recognition (CVPR), 2017. Spotlight presentation
  • [paper] [code] [bibtex]
  • Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold
  • Youngjoon Yoo, Sangdoo Yun, Hyung Jin Chang, Yiannis Demiris, and Jin Young Choi
  • IEEE Computer Vision and Pattern Recognition (CVPR), 2017.
  • [paper] [code] [bibtex]
  • Attentional Correlation Filter Network for Adaptive Visual Tracking
  • Jongwon Choi, Hyung Jin Chang, Sangdoo Yun, Tobias Fischer, Yiannis Demiris, and Jin Young Choi
  • IEEE Computer Vision and Pattern Recognition (CVPR), 2017.
  • [paper] [code] [bibtex]
  • PaletteNet: Image Recolorization with Given Color Palette
  • Junho Cho, Sangdoo Yun, Kyoungmu Lee and Jin Young Choi
  • NTIRE, CVPR Workshop, 2017.
  • [paper][bibtex]
  • Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation
  • YoungJoon Yoo, Seonguk Park, Junyoung Choi, Sangdoo Yun, Nojun Kwak
  • arXiv 2017.
  • [paper][bibtex]

~2016

  • Visual Path Prediction in Complex Scenes with Crowded Moving Objects
  • YoungJoon Yoo, Kimin Yun, Sangdoo Yun, JongHee Hong, Hawook Jeong and Jin Young Choi
  • IEEE Computer Vision and Pattern Recognition (CVPR), 2016.
  • [paper][bibtex]
  • Density-aware Pedestrian Proposal Networks for Robust People Detection in Crowded Scenes
  • Sangdoo Yun, Kimim Yun, Jongwon Choi, Jin Young Choi
  • Crowd Understanding, ECCV Workshop, 2016.
  • [bibtex]
  • Voting-based 3D Object Cuboid Detection Robust to Partial Occlusion from RGB-D Images
  • Sangdoo Yun, Hawook Jeong, Soo Wan Kim, Jin Young Choi
  • IEEE Winter Conference on Applications of Computer Vision (WACV), 2016.
  • [bibtex]
  • Attention-Inspired Moving Object Detection in Monocular Dashcam Videos
  • Kimin Yun, Jongin Lim, Sangdoo Yun, Soo Wan Kim, and Jin Young Choi
  • International Conference on Pattern Recognition (ICPR), 2016.
  • [bibtex]
  • Category Attentional Search for Fast Object Detection by Mimicking Human Visual Perception
  • Hawook Jeong, Sangdoo Yun, Kwang Moo Yi, and Jin Young Choi
  • IEEE Winter Conference on Applications of Computer Vision (WACV), 2015.
  • [bibtex]
  • Visual Surveillance Briefing System: Event-based Video Retrieval and Summarization
  • Sangdoo Yun, Kimin Yun, Soo Wan Kim, Youngjoon Yoo, Jiyeoup Jeong
  • IEEE Conference on Advanced Video and Signal based Surveillance (AVSS), 2014. Oral presentation
  • [bibtex]
  • Self-organizing Cascaded Structure of Deformable Part Models for Fast Object Detection
  • Sangdoo Yun, Hawook Jeong, Woo-Sung Kang, Byeongho Heo, Jin Young Choi
  • International Conference on Pattern Recognition (ICPR), 2014.
  • [bibtex]
  • 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
  • Image and Vision Computing New Zealand (IVCNZ), 2012. Oral presentation
  • [bibtex]

Education

  • Ph.D. in Computer Vision from Seoul National University (Advisor: Prof. Jin Young Choi) (Mar. 2013 - Aug. 2017)
  • M.S. in Computer Vision from Seoul National University (Advisor: Prof. Jin Young Choi) (Mar. 2011 - Feb. 2013)
  • B.S. in Electrical Engineering and Computer Sciences from Seoul National University (Mar. 2006 - Aug. 2010)