Youngjoon Yoo

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 39

Top Topics

Regularization Methods

Top Venues

Publications

Jonghyun Lee, Hansam Cho, Youngjoon Yoo, Seoung Bum Kim, Yonghyun Jeong
Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis. CoRR (2024)
Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, Youngjoon Yoo
EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection. WACV (2024)
Sungmin Cha, Naeun Ko, Heewoong Choi, Youngjoon Yoo, Taesup Moon
NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations. WACV (2024)
Youngjoon Yoo, Jongwon Choi
Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation. AAAI (2024)
Sunoh Kim, Jungchan Cho, Joonsang Yu, Youngjoon Yoo, Jin Young Choi
Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding. AAAI (2024)
Youngjoon Yoo, Jongwon Choi
Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation. CoRR (2023)
Sunoh Kim, Jungchan Cho, Joonsang Yu, Youngjoon Yoo, Jin Young Choi
Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding. CoRR (2023)
Joonhyun Jeong, Joonsang Yu, Geondo Park, Dongyoon Han, Youngjoon Yoo
GeNAS: Neural Architecture Search with Better Generalization. IJCAI (2023)
Joonhyun Jeong, Joonsang Yu, Geondo Park, Dongyoon Han, Youngjoon Yoo
GeNAS: Neural Architecture Search with Better Generalization. CoRR (2023)
Joonhyun Jeong, Sungmin Cha, Jongwon Choi, Sangdoo Yun, Taesup Moon, Youngjoon Yoo
Observations on K-Image Expansion of Image-Mixing Augmentation. IEEE Access 11 (2023)
Beomyoung Kim, Youngjoon Yoo, Chaeeun Rhee, Junmo Kim
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement. CVPR (2022)
Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, Youngjoon Yoo
Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection. CoRR (2022)
Sungmin Cha, Beomyoung Kim, Youngjoon Yoo, Taesup Moon
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning. NeurIPS (2021)
Dongyoon Han, Sangdoo Yun, Byeongho Heo, Youngjoon Yoo
Rethinking Channel Dimensions for Efficient Model Design. CVPR (2021)
Beomyoung Kim, Youngjoon Yoo, Chaeeun Rhee, Junmo Kim
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement. CoRR (2021)
Sungmin Cha, Beomyoung Kim, Youngjoon Yoo, Taesup Moon
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning. CoRR (2021)
Chang Keun Paik, Naeun Ko, Youngjoon Yoo
More than just an auxiliary loss: Anti-spoofing Backbone Training via Adversarial Pseudo-depth Generation. CoRR (2021)
Joonhyun Jeong, Sungmin Cha, Youngjoon Yoo, Sangdoo Yun, Taesup Moon, Jongwon Choi
Observations on K-image Expansion of Image-Mixing Augmentation for Classification. CoRR (2021)
Jihwan Bang, Heesu Kim, Youngjoon Yoo, Jung-Woo Ha, Jonghyun Choi
Rainbow Memory: Continual Learning With a Memory of Diverse Samples. CVPR (2021)
Sungmin Cha, Naeun Ko, Youngjoon Yoo, Taesup Moon
Self-Supervised Iterative Contextual Smoothing for Efficient Adversarial Defense against Gray- and Black-Box Attack. CoRR (2021)
Jihwan Bang, Heesu Kim, Youngjoon Yoo, Jung-Woo Ha
Efficient Active Learning for Automatic Speech Recognition via Augmented Consistency Regularization. CoRR (2020)
Sanghyuk Chun, Seong Joon Oh, Sangdoo Yun, Dongyoon Han, Junsuk Choe, Youngjoon Yoo
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods. CoRR (2020)
Taehoon Kim, Youngjoon Yoo, Jihoon Yang
StatAssist & GradBoost: A Study on Optimal INT8 Quantization-aware Training from Scratch. CoRR (2020)
Hyojin Park, Lars Lowe Sjösund, Youngjoon Yoo, Nicolas Monet, Nojun Kwak
SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder. CoRR (2019)
Simyung Chang, Youngjoon Yoo, Jaeseok Choi, Nojun Kwak
BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning. ICPRAM (2019)
Gayoung Lee, Dohyun Kim, Youngjoon Yoo, Dongyoon Han, Jung-Woo Ha, Jaehyuk Chang
Unpaired Sketch-to-Line Translation via Synthesis of Sketches. SIGGRAPH Asia Technical Briefs (2019)
Hyojin Park, Lars Lowe Sjösund, Youngjoon Yoo, Nojun Kwak
ExtremeC3Net: Extreme Lightweight Portrait Segmentation Networks using Advanced C3-modules. CoRR (2019)
Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Seong Joon Oh, Youngjoon Yoo, Junsuk Choe
CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features. ICCV (2019)
Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, Youngjoon Yoo
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features. CoRR (2019)
Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, Jin Young Choi
Action-Driven Visual Object Tracking With Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 29 (6) (2018)
Hyojin Park, Youngjoon Yoo, Nojun Kwak
MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis. BMVC (2018)
Hyojin Park, Youngjoon Yoo, Geonseok Seo, Dongyoon Han, Sangdoo Yun, Nojun Kwak
Concentrated-Comprehensive Convolutions for lightweight semantic segmentation. CoRR (2018)
Jongin Lim, Youngjoon Yoo, Byeongho Heo, Jin Young Choi
Pose transforming network: Learning to disentangle human posture in variational auto-encoded latent space. Pattern Recognit. Lett. 112 (2018)
Daesik Kim, Youngjoon Yoo, Jeesoo Kim, Sangkuk Lee, Nojun Kwak
Dynamic Graph Generation Network: Generating Relational Knowledge From Diagrams. CVPR (2018)
Youngjoon Yoo, Sangdoo Yun, Hyung Jin Chang, Yiannis Demiris, Jin Young Choi
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold. CVPR (2017)
Hyojin Park, Jisoo Jeong, Youngjoon Yoo, Nojun Kwak
Superpixel-based semantic segmentation trained by statistical process control. CoRR (2017)
Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, Jin Young Choi
Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning. CVPR (2017)
Daesik Kim, Youngjoon Yoo, Jeesoo Kim, Sangkuk Lee, Nojun Kwak
Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams. CoRR (2017)
Hyojin Park, Jisoo Jeong, Youngjoon Yoo, Nojun Kwak
Superpixel-based semantic segmentation trained by statistical process control. BMVC (2017)
Sangdoo Yun, Kimin Yun, Soo Wan Kim, Youngjoon Yoo, Jiyeoup Jeong
Visual surveillance briefing system: Event-based video retrieval and summarization. AVSS (2014)