Yoo, YoungJoon

18 publications

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

CVPRW 2024 Advancing Cross-Domain Generalizability in Face Anti-Spoofing: Insights, Design, and Metrics Hyojin Kim, Jiyoon Lee, Yonghyun Jeong, Haneol Jang, Youngjoon Yoo

ICLR 2024 Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis Jonghyun Lee, Hansam Cho, YoungJoon Yoo, Seoung Bum Kim, Yonghyun Jeong

WACV 2024 EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, YoungJoon Yoo

AAAI 2024 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

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

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

IJCAI 2023 GeNAS: Neural Architecture Search with Better Generalization Joonhyun Jeong, Joonsang Yu, Geondo Park, Dongyoon Han, Youngjoon Yoo

CVPR 2022 Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement Beomyoung Kim, YoungJoon Yoo, Chae Eun Rhee, Junmo Kim

ICLR 2022 Learning Features with Parameter-Free Layers Dongyoon Han, YoungJoon Yoo, Beomyoung Kim, Byeongho Heo

CVPR 2021 Rainbow Memory: Continual Learning with a Memory of Diverse Samples Jihwan Bang, Heesu Kim, YoungJoon Yoo, Jung-Woo Ha, Jonghyun Choi

CVPR 2021 Rethinking Channel Dimensions for Efficient Model Design Dongyoon Han, Sangdoo Yun, Byeongho Heo, YoungJoon Yoo

NeurIPS 2021 SSUL: Semantic Segmentation with Unknown Label for Exemplar-Based Class-Incremental Learning Sungmin Cha, Beomyoung Kim, YoungJoon Yoo, Taesup Moon

ICMLW 2021 Self-Supervised Iterative Contextual Smoothing for Efficient Adversarial Defense Against Gray- and Black-Box Attack Sungmin Cha, Naeun Ko, YoungJoon Yoo, Taesup Moon

WACV 2020 SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Module and Information Blocking Decoder Hyojin Park, Lars Sjosund, Youngjoon Yoo, Nicolas Monet, Jihwan Bang, Nojun Kwak

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

CVPR 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

CVPR 2016 Visual Path Prediction in Complex Scenes with Crowded Moving Objects YoungJoon Yoo, Kimin Yun, Sangdoo Yun, JongHee Hong, Hawook Jeong, Jin Young Choi