Youngjoon Yoo - RankMe

55 papers A* 12A 5B 3C 1Journal 31Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerating Diffusion-Based Denoising Model With Optimized Time Steps. IEEE Access Jaehyun Cho, Youngjoon Yoo
2026	J	`jnl`	Domain-generalizable face anti-spoofing with patch-based multi-tasking and artifact pattern conversion. Pattern Recognit. Seungjin Jung, Yonghyun Jeong, Minha Kim, Jimin Min, Youngjoon Yoo, Jongwon Choi
2026	A*	`conf`	GuidNoise: Single-Pair Guided Diffusion for Generalized Noise Synthesis. AAAI Changjin Kim, HyeokJun Lee, Youngjoon Yoo
2026	J	`jnl`	Single-Diffusion Representations for Out-of-Distribution Detection. IEEE Access Junhak Bae, HyeokJun Lee, Youngjoon Yoo
2025	B	`conf`	CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning. AVSS Jeonghyo Song, Kimin Yun, DaeUng Jo, Jinyoung Kim, Youngjoon Yoo
2025	J	`jnl`	CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning. CoRR Jeonghyo Song, Kimin Yun, DaeUng Jo, Jinyoung Kim, Youngjoon Yoo
2025	B	`conf`	Distributional Uncertainty for Out-of-Distribution Detection. AVSS Jinyoung Kim, DaeUng Jo, Kimin Yun, Jeonghyo Song, Youngjoon Yoo
2025	J	`jnl`	Distributional Uncertainty for Out-of-Distribution Detection. CoRR Jinyoung Kim, DaeUng Jo, Kimin Yun, Jeonghyo Song, Youngjoon Yoo
2025	A	`conf`	Domain-Generalized Object Anti-Spoofing: Bridging Gaps and Patch Selection for Robust Detection Across Domains. WACV Geonu Lee, Yonghyun Jeong, Haneol Jang, Youngjoon Yoo
2025	J	`jnl`	FastADnet: Fast Anomaly Detection via Core-Feature Centered Cluster Reconstruction Network. IEEE Access Daeyeob Na, Youngjoon Yoo
2025	J	`jnl`	GuidNoise: Single-Pair Guided Diffusion for Generalized Noise Synthesis. CoRR Changjin Kim, HyeokJun Lee, Youngjoon Yoo
2025	—	`conf`	K-StyleLoRA: Information-Guided Image Generation via Selective Feature Learning. ICCVW Soyoung Lee, Hyoungseo Cho, Myungjoo Kang, Youngjoon Yoo
2025	J	`jnl`	Multi-Agent Visual Reasoning for Out-of-Distribution Detection in Complex Road Environments. IEEE Access Jeonghyo Song, Kimin Yun, Dae Ung Jo, Jinyoung Kim, Youngjoon Yoo
2025	J	`jnl`	Token-Wise Asymmetric Contrastive Learning in Countering Unknown Attacks for Face Anti-Spoofing. IEEE Access Jimin Min, Yunho Jeon, Yonghyun Jeong, Youngjoon Yoo, Haneol Jang
2024	—	`conf`	Advancing Cross-Domain Generalizability in Face Anti-Spoofing: Insights, Design, and Metrics. CVPR Workshops Hyojin Kim, Jiyoon Lee, Yonghyun Jeong, Haneol Jang, Youngjoon Yoo
2024	J	`jnl`	Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis. CoRR Jonghyun Lee, Hansam Cho, Youngjoon Yoo, Seoung Bum Kim, Yonghyun Jeong
2024	A	`conf`	EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection. WACV Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, Youngjoon Yoo
2024	A*	`conf`	Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding. AAAI Sunoh Kim, Jungchan Cho, Joonsang Yu, Youngjoon Yoo, Jin Young Choi
2024	A	`conf`	NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations. WACV Sungmin Cha, Naeun Ko, Heewoong Choi, Youngjoon Yoo, Taesup Moon
2024	A*	`conf`	Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation. AAAI Youngjoon Yoo, Jongwon Choi
2023	J	`jnl`	Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding. CoRR Sunoh Kim, Jungchan Cho, Joonsang Yu, Youngjoon Yoo, Jin Young Choi
2023	A*	`conf`	GeNAS: Neural Architecture Search with Better Generalization. IJCAI Joonhyun Jeong, Joonsang Yu, Geondo Park, Dongyoon Han, Youngjoon Yoo
2023	J	`jnl`	GeNAS: Neural Architecture Search with Better Generalization. CoRR Joonhyun Jeong, Joonsang Yu, Geondo Park, Dongyoon Han, Youngjoon Yoo
2023	J	`jnl`	Observations on K-Image Expansion of Image-Mixing Augmentation. IEEE Access Joonhyun Jeong, Sungmin Cha, Jongwon Choi, Sangdoo Yun, Taesup Moon, Youngjoon Yoo
2023	J	`jnl`	Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation. CoRR Youngjoon Yoo, Jongwon Choi
2022	A*	`conf`	Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement. CVPR Beomyoung Kim, Youngjoon Yoo, Chaeeun Rhee, Junmo Kim
2022	J	`jnl`	Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection. CoRR Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, Youngjoon Yoo
2021	J	`jnl`	Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement. CoRR Beomyoung Kim, Youngjoon Yoo, Chaeeun Rhee, Junmo Kim
2021	J	`jnl`	More than just an auxiliary loss: Anti-spoofing Backbone Training via Adversarial Pseudo-depth Generation. CoRR Chang Keun Paik, Naeun Ko, Youngjoon Yoo
2021	J	`jnl`	Observations on K-image Expansion of Image-Mixing Augmentation for Classification. CoRR Joonhyun Jeong, Sungmin Cha, Youngjoon Yoo, Sangdoo Yun, Taesup Moon, Jongwon Choi
2021	A*	`conf`	Rainbow Memory: Continual Learning With a Memory of Diverse Samples. CVPR Jihwan Bang, Heesu Kim, Youngjoon Yoo, Jung-Woo Ha, Jonghyun Choi
2021	A*	`conf`	Rethinking Channel Dimensions for Efficient Model Design. CVPR Dongyoon Han, Sangdoo Yun, Byeongho Heo, Youngjoon Yoo
2021	A*	`conf`	SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning. NeurIPS Sungmin Cha, Beomyoung Kim, Youngjoon Yoo, Taesup Moon
2021	J	`jnl`	SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning. CoRR Sungmin Cha, Beomyoung Kim, Youngjoon Yoo, Taesup Moon
2021	J	`jnl`	Self-Supervised Iterative Contextual Smoothing for Efficient Adversarial Defense against Gray- and Black-Box Attack. CoRR Sungmin Cha, Naeun Ko, Youngjoon Yoo, Taesup Moon
2020	J	`jnl`	An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods. CoRR Sanghyuk Chun, Seong Joon Oh, Sangdoo Yun, Dongyoon Han, Junsuk Choe, Youngjoon Yoo
2020	J	`jnl`	Efficient Active Learning for Automatic Speech Recognition via Augmented Consistency Regularization. CoRR Jihwan Bang, Heesu Kim, Youngjoon Yoo, Jung-Woo Ha
2020	J	`jnl`	StatAssist & GradBoost: A Study on Optimal INT8 Quantization-aware Training from Scratch. CoRR Taehoon Kim, Youngjoon Yoo, Jihoon Yang
2019	C	`conf`	BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning. ICPRAM Simyung Chang, Youngjoon Yoo, Jaeseok Choi, Nojun Kwak
2019	A*	`conf`	CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features. ICCV Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Seong Joon Oh, Youngjoon Yoo, Junsuk Choe
2019	J	`jnl`	CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features. CoRR Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, Youngjoon Yoo
2019	J	`jnl`	ExtremeC3Net: Extreme Lightweight Portrait Segmentation Networks using Advanced C3-modules. CoRR Hyojin Park, Lars Lowe Sjösund, Youngjoon Yoo, Nojun Kwak
2019	J	`jnl`	SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder. CoRR Hyojin Park, Lars Lowe Sjösund, Youngjoon Yoo, Nicolas Monet, Nojun Kwak
2019	—	`conf`	Unpaired Sketch-to-Line Translation via Synthesis of Sketches. SIGGRAPH Asia Technical Briefs Gayoung Lee, Dohyun Kim, Youngjoon Yoo, Dongyoon Han, Jung-Woo Ha, Jaehyuk Chang
2018	J	`jnl`	Action-Driven Visual Object Tracking With Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, Jin Young Choi
2018	J	`jnl`	Concentrated-Comprehensive Convolutions for lightweight semantic segmentation. CoRR Hyojin Park, Youngjoon Yoo, Geonseok Seo, Dongyoon Han, Sangdoo Yun, Nojun Kwak
2018	A*	`conf`	Dynamic Graph Generation Network: Generating Relational Knowledge From Diagrams. CVPR Daesik Kim, Youngjoon Yoo, Jeesoo Kim, Sangkuk Lee, Nojun Kwak
2018	A	`conf`	MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis. BMVC Hyojin Park, Youngjoon Yoo, Nojun Kwak
2018	J	`jnl`	Pose transforming network: Learning to disentangle human posture in variational auto-encoded latent space. Pattern Recognit. Lett. Jongin Lim, Youngjoon Yoo, Byeongho Heo, Jin Young Choi
2017	A*	`conf`	Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning. CVPR Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, Jin Young Choi
2017	J	`jnl`	Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams. CoRR Daesik Kim, Youngjoon Yoo, Jeesoo Kim, Sangkuk Lee, Nojun Kwak
2017	A	`conf`	Superpixel-based semantic segmentation trained by statistical process control. BMVC Hyojin Park, Jisoo Jeong, Youngjoon Yoo, Nojun Kwak
2017	J	`jnl`	Superpixel-based semantic segmentation trained by statistical process control. CoRR Hyojin Park, Jisoo Jeong, Youngjoon Yoo, Nojun Kwak
2017	A*	`conf`	Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold. CVPR Youngjoon Yoo, Sangdoo Yun, Hyung Jin Chang, Yiannis Demiris, Jin Young Choi
2014	B	`conf`	Visual surveillance briefing system: Event-based video retrieval and summarization. AVSS Sangdoo Yun, Kimin Yun, Soo Wan Kim, Youngjoon Yoo, Jiyeoup Jeong