Publications

2024

Domain-Generalized Object Anti-Spoofing: Bridging Gaps and Patch Selection for Robust Detection across Domains

• Geonu Lee, Yonghyun Jeong, Haneol Jang, YoungJoon Yoo

• Winter Conference on Applications of Computer Vision 2025

• Code

Educational Research Trends of the Use of Gaze Learning Data through Topic Modeling and Scientometric Analysis

• Jungmin Lee, Huigon Shin, YoungJoon Yoo, Jongwon Choi, Mi Song Kim 

• IJCAI 2024 Workshop AI4Research

• Code

Advancing Cross-Domain Generalizability in Face Anti-Spoofing

• Hyojin Kim, Jiyoon Lee, YongHyun Jeong, Haneol Jang, YoungJoon Yoo, 

• The 5th Face Anti-spoofing Workshop and Challenge at CVPR 2024

• Code

Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation

• YoungJoon Yoo, Jongwon Choi

• The 38th Annual AAAI Conference on Artificial Intelligence 2024

• Code

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