Towards simultaneous clustering and motif-modeling for a large number of protein family. - Young Joon Yoo; Tushar Sandhan; Jin Young Choi 002; Sun Kim (BIBM, 2013)

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 (AVSS, 2014)

Visual surveillance briefing system: Event-based video retrieval and summarization. - Sangdoo Yun; Kimin Yun; Soo Wan Kim; Youngjoon Yoo; Jiyeoup Jeong (AVSS, 2014)

Transfer Learning of Motion Patterns in Traffic Scene via Convex Optimization. - Young Joon Yoo; Hawook Jeong; Soo Wan Kim; Jin Young Choi 002 (ICPR, 2014)

Two-stage online inference model for traffic pattern analysis and anomaly detection. - Hawook Jeong; Young Joon Yoo; Kwang Moo Yi; Jin Young Choi 002 (Mach. Vis. Appl., 2014)

Visual Path Prediction in Complex Scenes with Crowded Moving Objects. - Young Joon Yoo; Kimin Yun; Sangdoo Yun; Jonghee Hong; Hawook Jeong; Jin Young Choi 002 (CVPR, 2016)

Superpixel-based semantic segmentation trained by statistical process control. - Hyojin Park 001; Jisoo Jeong; Youngjoon Yoo; Nojun Kwak (BMVC, 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 002 (CVPR, 2017)

Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning. - Sangdoo Yun; Jongwon Choi; Youngjoon Yoo; Kimin Yun; Jin Young Choi 002 (CVPR, 2017)

Knowledge Sharing for Reinforcement Learning: Writing a BOOK. - Simyung Chang; Young Joon Yoo; Jaeseok Choi; Nojun Kwak (CoRR, 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)

Motion interaction field for detection of abnormal interactions. - Kimin Yun; Young Joon Yoo; Jin Young Choi 002 (Mach. Vis. Appl., 2017)

MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis. - Hyojin Park 001; Youngjoon Yoo; Nojun Kwak (BMVC, 2018)

Dynamic Graph Generation Network: Generating Relational Knowledge From Diagrams. - Daesik Kim; Youngjoon Yoo; Jeesoo Kim; Sangkuk Lee; Nojun Kwak (CVPR, 2018)

Concentrated-Comprehensive Convolutions for lightweight semantic segmentation. - Hyojin Park 001; Youngjoon Yoo; Geonseok Seo; Dongyoon Han; Sangdoo Yun; Nojun Kwak (CoRR, 2018)

Pose transforming network: Learning to disentangle human posture in variational auto-encoded latent space. - Jongin Lim 002; Youngjoon Yoo; Byeongho Heo; Jin Young Choi 002 (Pattern Recognit. Lett., 2018)

Action-Driven Visual Object Tracking With Deep Reinforcement Learning. - Sangdoo Yun; Jongwon Choi; Youngjoon Yoo; Kimin Yun; Jin Young Choi 002 (IEEE Trans. Neural Networks Learn. Syst., 2018)

CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features. - Sangdoo Yun; Dongyoon Han; Sanghyuk Chun; Seong Joon Oh; Youngjoon Yoo; Junsuk Choe (ICCV, 2019)

BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning. - Simyung Chang; Youngjoon Yoo; Jaeseok Choi; Nojun Kwak (ICPRAM, 2019)

Unpaired Sketch-to-Line Translation via Synthesis of Sketches. - Gayoung Lee; Dohyun Kim 001; Youngjoon Yoo; Dongyoon Han; Jung-Woo Ha 001; Jaehyuk Chang (SIGGRAPH Asia Technical Briefs, 2019)

EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse. - Young Joon Yoo; Dongyoon Han; Sangdoo Yun (CoRR, 2019)

ExtremeC3Net: Extreme Lightweight Portrait Segmentation Networks using Advanced C3-modules. - Hyojin Park 001; Lars Lowe Sjösund; Youngjoon Yoo; Nojun Kwak (CoRR, 2019)

Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling. - Young Joon Yoo; Sanghyuk Chun; Sangdoo Yun; Jung-Woo Ha 001; Jaejun Yoo 001 (CoRR, 2019)

SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder. - Hyojin Park 001; Lars Lowe Sjösund; Youngjoon Yoo; Nicolas Monet; Nojun Kwak (CoRR, 2019)

SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder. - Hyojin Park 001; Lars Lowe Sjösund; Young Joon Yoo; Nicolas Monet; Jihwan Bang; Nojun Kwak (WACV, 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)

StatAssist & GradBoost: A Study on Optimal INT8 Quantization-aware Training from Scratch. - Taehoon Kim; Youngjoon Yoo; Jihoon Yang (CoRR, 2020)

Efficient Active Learning for Automatic Speech Recognition via Augmented Consistency Regularization. - Jihwan Bang; Heesu Kim; Youngjoon Yoo; Jung-Woo Ha 001 (CoRR, 2020)

ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network. - Dongyoon Han; Sangdoo Yun; Byeongho Heo; Young Joon Yoo (CoRR, 2020)

Rainbow Memory: Continual Learning With a Memory of Diverse Samples. - Jihwan Bang; Heesu Kim; Youngjoon Yoo; Jung-Woo Ha 001; Jonghyun Choi (CVPR, 2021)

Rethinking Channel Dimensions for Efficient Model Design. - Dongyoon Han; Sangdoo Yun; Byeongho Heo; Youngjoon Yoo (CVPR, 2021)

SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning. - Sungmin Cha; Beomyoung Kim; Youngjoon Yoo; Taesup Moon (NeurIPS, 2021)

Analysis of Electromagnetic Pulse Effects Under High-Power Microwave Sources. - Sun-Hong Min; Hoechun Jung; Ohjoon Kwon; Matlabjon Sattorov; Seontae Kim; Seung-Hyuk Park; Dongpyo Hong; Seonmyeong Kim; Chawon Park; Bong Hwan Hong; Ilsung Cho; Sukhwal Ma; et al. (IEEE Access, 2021)

More than just an auxiliary loss: Anti-spoofing Backbone Training via Adversarial Pseudo-depth Generation. - Chang Keun Paik; Naeun Ko; Youngjoon Yoo (CoRR, 2021)

Self-Supervised Iterative Contextual Smoothing for Efficient Adversarial Defense against Gray- and Black-Box Attack. - Sungmin Cha; Naeun Ko; Youngjoon Yoo; Taesup Moon (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)

Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement. - Beomyoung Kim; Youngjoon Yoo; Chaeeun Rhee; Junmo Kim 002 (CVPR, 2022)

Learning Features with Parameter-Free Layers. - Dongyoon Han; Young Joon Yoo; Beomyoung Kim; Byeongho Heo (ICLR, 2022)

Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection. - Joonhyun Jeong; Beomyoung Kim; Joonsang Yu; Youngjoon Yoo (CoRR, 2022)

GeNAS: Neural Architecture Search with Better Generalization. - Joonhyun Jeong; Joonsang Yu; Geondo Park; Dongyoon Han; Youngjoon Yoo (IJCAI, 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)

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 002 (AAAI, 2024)

Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation. - Youngjoon Yoo; Jongwon Choi (AAAI, 2024)

Advancing Cross-Domain Generalizability in Face Anti-Spoofing: Insights, Design, and Metrics. - Hyojin Kim; Jiyoon Lee; Yonghyun Jeong; Haneol Jang; Youngjoon Yoo (CVPR Workshops, 2024)

Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis. - Jonghyun Lee 006; Hansam Cho; Young Joon Yoo; Seoung Bum Kim; Yonghyun Jeong (ICLR, 2024)

Educational Research Trends of the Use of Gaze Learning Data Through Topic Modeling and Scientometric Analysis. - Jungmin Lee; Huigon Shin; Young Joon Yoo; Jongwon Choi; Mi Song Kim (AI4Research/DemocrAI@IJCAI, 2024)

NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations. - Sungmin Cha; Naeun Ko; Heewoong Choi; Youngjoon Yoo; Taesup Moon (WACV, 2024)

EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection. - Joonhyun Jeong; Beomyoung Kim; Joonsang Yu; Youngjoon Yoo (WACV, 2024)

Towards Label-Efficient Human Matting: A Simple Baseline for Weakly Semi-Supervised Trimap-Free Human Matting. - Beomyoung Kim; Myeong-Yeon Yi; Joonsang Yu; Young Joon Yoo; Sung Ju Hwang (CoRR, 2024)

Domain-Generalized Object Anti-Spoofing: Bridging Gaps and Patch Selection for Robust Detection Across Domains. - Geonu Lee; Yonghyun Jeong; Haneol Jang; Youngjoon Yoo (WACV, 2025)

Token-Wise Asymmetric Contrastive Learning in Countering Unknown Attacks for Face Anti-Spoofing. - Jimin Min; Yunho Jeon; Yonghyun Jeong; Youngjoon Yoo; Haneol Jang (IEEE Access, 2025)

FastADnet: Fast Anomaly Detection via Core-Feature Centered Cluster Reconstruction Network. - Daeyeob Na; Youngjoon Yoo (IEEE Access, 2025)

Continual-MEGA: A Large-scale Benchmark for Generalizable Continual Anomaly Detection. - Geonu Lee; Yujeong Oh; Geonhui Jang; Soyoung Lee; Jeonghyo Song; Sungmin Cha; Young Joon Yoo (CoRR, 2025)

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning. - Jeonghyo Song; Kimin Yun; DaeUng Jo; Jinyoung Kim; Youngjoon Yoo (CoRR, 2025)

Distributional Uncertainty for Out-of-Distribution Detection. - JinYoung Kim; DaeUng Jo; Kimin Yun; Jeonghyo Song; Youngjoon Yoo (CoRR, 2025)