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Research & Project Page

YoungJoon Yoo, CLOVA, NAVER

Publication

2025

FastADnet: Fast Anomaly Detection via Core-feature Centered Cluster Reconstruction Network

Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding

  • Sunoh Kim , Jungchan Cho, Joonsang Yu, YoungJoon Yoo, Jin Young Choi
  • The 38th Annual AAAI Conference on Artificial Intelligence 2024
  • Code

2023

NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations

  • Sungmin Cha, Naeun Ko, Heewoong Choi, YoungJoon Yoo, Taesup Moon
  • Winter Conference on Applications of Computer Vision (WACV) 2024
  • Code

EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection

  • Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, YoungJoon Yoo (Corresponding author)
  • Winter Conference on Applications of Computer Vision (WACV) 2024
  • Code

GeNAS: Neural Architecture Search with Better Generalization

  • Joonhyun Jeong, Joonsang Yu, Geondo Park, Dongyoon Han, YoungJoon Yoo (Corresponding author)
  • International Joint Conference on Artificial Intelligence (IJCAI-23)
  • Code

Observations on K-image Expansion of Image-Mixing Augmentation

  • Joonhyun Jeong, Sungmin Cha, Jongwon Choi, Sangdoo Yun, Taesup Moon, YoungJoon Yoo (Corresponding author)
  • IEEE Access
  • Code

2022

Neural Architecture Search with Loss Flatness-aware Measure

  • Joonhyun Jeong, Joonsang Yu, Dongyoon Han, YoungJoon Yoo
  • ICML Workshop on Dynamic Neural Networks 2022.
  • Code

Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement

  • Beomyoung Kim, YoungJoon Yoo, Chaeeun Rhee, Junmo Kim
  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022.
  • Code

Learning Features with Parameter-Free Layers

  • Dongyoon Han, YoungJoon Yoo, Beomyoung Kim, Byeongho Heo
  • The Tenth International Conference on Learning Representations (ICLR) 2022.
  • Code

2021

Observations on K-image Expansion of Image-Mixing Augmentation for Classification

  • Sungmin Cha, Beomyoung Kim, Youngjoon Yoo, Taesup Moon
  • Synthetic Data Generation Workshop at the Tenth International Conference on Learning Representations (ICLR) 2021.

NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations

  • Joonhyeon Jeong, Sungmin Cha, Naeun Ko, Youngjoon Yoo, Taesup Moon
  • Adversarial Machine Learning Workshop at International Conference on Machine Learning (ICMLW) 2021.

SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning

  • Sungmin Cha, Beomyoung Kim, Youngjoon Yoo, Taesup Moon
  • Advances in Neural Information Processing Systems (Neurips) 2021
  • Code

Rainbow Memory: Continual Learning with a Memory of Diverse Samples

  • Jihwan Bang, Heesu Kim, YoungJoon Yoo, Jung-Woo Ha, Jonghyun Choi
  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021
  • Code

ReXNet: Rethinking Channel Dimensions for Efficient Model Design

  • Dongyoon Han, Sangdoo Yun, Byeongho Heo, YoungJoon Yoo
  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021
  • Code

2020

Efficient Active Learning for Automatic Speech Recognition via Augmented Consistency Regularization

  • Jihwan Bang, Heesu Kim, YoungJoon Yoo, Jung-Woo Ha
  • arXiv preprint
  • Code

StatAssist & GradBoost: A Study on Optimal INT8 Quantization-aware Training from Scratch

  • Taehoon Kim, YoungJoon Yoo, Jihoon Yang
  • arXiv preprint
  • Code

2019

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

  • YoungJoon Yoo, Sanghyuk Chun, Sangdoo Yun, Jung-Woo Ha, Jaejun Yoo*
  • arXiv preprint
  • [Code]

ExtremeC3Net: Extreme Lightweight Portrait Segmentation Networks using Advanced C3-modules

  • Hyojin Park, Lars Lowe Sjösund, YoungJoon Yoo, Nojun Kwak*
  • IEEE Winter Conference on Applications of Computer Vision (WACV), 2019

EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse

  • YoungJoon Yoo, Dongyoon Han, Sangdoo Yun
  • arXiv preprint
  • Code

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 (187/4303=4.3%)
  • Code, Blog post

Concentrated-Comprehensive Convolutions for Lightweight Semantic Segmentation

  • Hyojin Park, YoungJoon Yoo, Geonseok Seo, Dongyoon Han, Sangdoo Yun, Nojun Kwak*
  • arXiv preprint

2018

Pose Transforming Network: Learning to Disentangle Human Posture in Variational Auto-encoded Latent Space

  • Jongin Lim, YoungJoon Yoo, Byeongho Heo, Jin Young Choi*
  • Pattern Recognition Letters (PRL), Sep. 2018.

MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis

  • Hyojin Park, YoungJoon Yoo, Nojun Kwak*
  • The British MachineVision Conference (BMVC), Newcathle, UK, Sep. 2018
  • Code

Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams

  • Daesik Kim, YoungJoon Yoo, Jeesoo Kim, Sangkuk Lee, Nojun Kwak*
  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018

BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning

  • Simyung Chang, YoungJoon Yoo, Jaeseok Choi, Nojun Kwak*
  • International Conference on Pattern Recognition Applications and Methods, ICPRAM 2017 (Best paper candidate)

2017

Superpixel-based Semantic Segmentation Trained by Statistical Process Control

  • Hyojin Park, Jisoo Jeong, YoungJoon Yoo, and Nojun Kwak*
  • The British MachineVision Conference (BMVC), Newcathle, UK, Sep. 2017
  • Code

Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning

  • Sangdoo Yun, Jongwon Choi, YoungJoon Yoo, Kimin Yun, and Jin Young Choi*
  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017
  • Code, Supplementary Material

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 Conference on Computer Vision and Pattern Recognition (CVPR) 2017
  • Code

Motion Interaction Field for Detection of Abnormal Interactions

  • Kimin Yun, YoungJoon Yoo, Jin Young Choi*
  • IEEE Machine Vision and Applications, Volume 28, Issue 1, pp 157–171, 2017

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 Conference on Computer Vision and Pattern Recognition (CVPR) 2016

~2015

Two-stage Online Inference model for Traffic Pattern Analysis and Anomaly Detection

  • Hawook Jeong, YoungJoon Yoo, Kwang Moo Yi, Jin Young Choi*
  • IEEE Machine Vision and Applications, August 2014, Volume 25, Issue 6, pp 1501-1517, 2014