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2020 – today
- 2024
[c25]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: 2795-2803- [c24]Youngjoon Yoo, Jongwon Choi:
Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation. AAAI 2024: 19422-19430 - [c23]Jonghyun Lee, Hansam Cho, Young Joon Yoo, Seoung Bum Kim, Yonghyun Jeong:
Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis. ICLR 2024 - [c22]Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, Youngjoon Yoo:
EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection. WACV 2024: 977-987 - [c21]Sungmin Cha, Naeun Ko, Heewoong Choi, Youngjoon Yoo, Taesup Moon:
NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations. WACV 2024: 3777-3787 - [i30]Jonghyun Lee, Hansam Cho, Youngjoon Yoo, Seoung Bum Kim, Yonghyun Jeong:
Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis. CoRR abs/2401.09048 (2024) - [i29]Beomyoung Kim, Myeong-Yeon Yi, Joonsang Yu, Young Joon Yoo, Sung Ju Hwang:
Towards Label-Efficient Human Matting: A Simple Baseline for Weakly Semi-Supervised Trimap-Free Human Matting. CoRR abs/2404.00921 (2024) - [i28]Hyojin Kim, Jiyoon Lee, Yonghyun Jeong, Haneol Jang, Young Joon Yoo:
Advancing Cross-Domain Generalizability in Face Anti-Spoofing: Insights, Design, and Metrics. CoRR abs/2406.12258 (2024) - 2023
- [j6]Joonhyun Jeong, Sungmin Cha, Jongwon Choi
, Sangdoo Yun, Taesup Moon, Youngjoon Yoo:
Observations on K-Image Expansion of Image-Mixing Augmentation. IEEE Access 11: 16631-16643 (2023) - [c20]Joonhyun Jeong, Joonsang Yu, Geondo Park, Dongyoon Han, Youngjoon Yoo:
GeNAS: Neural Architecture Search with Better Generalization. IJCAI 2023: 911-919 - [i27]Joonhyun Jeong, Joonsang Yu, Geondo Park, Dongyoon Han, Youngjoon Yoo:
GeNAS: Neural Architecture Search with Better Generalization. CoRR abs/2305.08611 (2023) - [i26]Youngjoon Yoo, Jongwon Choi:
Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation. CoRR abs/2312.11532 (2023) - [i25]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 abs/2312.16388 (2023) - 2022
- [c19]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: 4268-4277 - [c18]Dongyoon Han, Young Joon Yoo, Beomyoung Kim, Byeongho Heo:
Learning Features with Parameter-Free Layers. ICLR 2022 - [i24]Dongyoon Han, Young Joon Yoo, Beomyoung Kim, Byeongho Heo:
Learning Features with Parameter-Free Layers. CoRR abs/2202.02777 (2022) - [i23]Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, Youngjoon Yoo:
Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection. CoRR abs/2204.01209 (2022) - 2021
- [j5]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, Minho Kim, Young Joon Yoo, Sang Yoon Park, Gun-Sik Park:
Analysis of Electromagnetic Pulse Effects Under High-Power Microwave Sources. IEEE Access 9: 136775-136791 (2021) - [c17]Dongyoon Han, Sangdoo Yun, Byeongho Heo, Youngjoon Yoo:
Rethinking Channel Dimensions for Efficient Model Design. CVPR 2021: 732-741 - [c16]Jihwan Bang, Heesu Kim, Youngjoon Yoo, Jung-Woo Ha, Jonghyun Choi:
Rainbow Memory: Continual Learning With a Memory of Diverse Samples. CVPR 2021: 8218-8227 - [c15]Sungmin Cha, Beomyoung Kim, Youngjoon Yoo, Taesup Moon:
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning. NeurIPS 2021: 10919-10930 - [i22]Chang Keun Paik, Naeun Ko, Youngjoon Yoo:
More than just an auxiliary loss: Anti-spoofing Backbone Training via Adversarial Pseudo-depth Generation. CoRR abs/2101.00200 (2021) - [i21]Jihwan Bang, Heesu Kim, Young Joon Yoo, Jung-Woo Ha, Jonghyun Choi:
Rainbow Memory: Continual Learning with a Memory of Diverse Samples. CoRR abs/2103.17230 (2021) - [i20]Sungmin Cha, Beomyoung Kim, Youngjoon Yoo, Taesup Moon:
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning. CoRR abs/2106.11562 (2021) - [i19]Sungmin Cha, Naeun Ko, Youngjoon Yoo, Taesup Moon:
Self-Supervised Iterative Contextual Smoothing for Efficient Adversarial Defense against Gray- and Black-Box Attack. CoRR abs/2106.11644 (2021) - [i18]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 abs/2109.09477 (2021) - [i17]Joonhyun Jeong, Sungmin Cha, Youngjoon Yoo, Sangdoo Yun, Taesup Moon, Jongwon Choi:
Observations on K-image Expansion of Image-Mixing Augmentation for Classification. CoRR abs/2110.04248 (2021) - 2020
- [c14]Hyojin Park, Lars Lowe Sjösund, Young Joon Yoo, Nicolas Monet, Jihwan Bang, Nojun Kwak:
SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder. WACV 2020: 2055-2063 - [i16]Sanghyuk Chun, Seong Joon Oh, Sangdoo Yun, Dongyoon Han, Junsuk Choe, Youngjoon Yoo:
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods. CoRR abs/2003.03879 (2020) - [i15]Taehoon Kim, Youngjoon Yoo, Jihoon Yang:
StatAssist & GradBoost: A Study on Optimal INT8 Quantization-aware Training from Scratch. CoRR abs/2006.09679 (2020) - [i14]Jihwan Bang, Heesu Kim, Youngjoon Yoo, Jung-Woo Ha:
Efficient Active Learning for Automatic Speech Recognition via Augmented Consistency Regularization. CoRR abs/2006.11021 (2020) - [i13]Dongyoon Han, Sangdoo Yun, Byeongho Heo, Young Joon Yoo:
ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network. CoRR abs/2007.00992 (2020)
2010 – 2019
- 2019
- [c13]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: 6022-6031 - [c12]Simyung Chang, Youngjoon Yoo, Jaeseok Choi, Nojun Kwak:
BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning. ICPRAM 2019: 73-82 - [c11]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: 45-48 - [i12]Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, Youngjoon Yoo:
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features. CoRR abs/1905.04899 (2019) - [i11]Young Joon Yoo, Dongyoon Han, Sangdoo Yun:
EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse. CoRR abs/1906.06579 (2019) - [i10]Hyojin Park, Lars Lowe Sjösund, Youngjoon Yoo, Nojun Kwak:
ExtremeC3Net: Extreme Lightweight Portrait Segmentation Networks using Advanced C3-modules. CoRR abs/1908.03093 (2019) - [i9]Young Joon Yoo, Sangdoo Yun, Hyung Jin Chang, Yiannis Demiris, Jin Young Choi:
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold. CoRR abs/1908.04015 (2019) - [i8]Young Joon Yoo, Sanghyuk Chun, Sangdoo Yun, Jung-Woo Ha, Jaejun Yoo:
Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling. CoRR abs/1910.06705 (2019) - [i7]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 abs/1911.09099 (2019) - 2018
- [j4]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: 91-97 (2018) - [j3]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): 2239-2252 (2018) - [c10]Hyojin Park, Youngjoon Yoo, Nojun Kwak:
MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis. BMVC 2018: 76 - [c9]Daesik Kim, Youngjoon Yoo, Jeesoo Kim, Sangkuk Lee, Nojun Kwak:
Dynamic Graph Generation Network: Generating Relational Knowledge From Diagrams. CVPR 2018: 4167-4175 - [i6]Hyojin Park, Young Joon Yoo, Nojun Kwak:
MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis. CoRR abs/1805.01123 (2018) - [i5]Hyojin Park, Youngjoon Yoo, Geonseok Seo, Dongyoon Han, Sangdoo Yun, Nojun Kwak:
Concentrated-Comprehensive Convolutions for lightweight semantic segmentation. CoRR abs/1812.04920 (2018) - 2017
- [j2]Kimin Yun, Young Joon Yoo, Jin Young Choi:
Motion interaction field for detection of abnormal interactions. Mach. Vis. Appl. 28(1-2): 157-171 (2017) - [c8]Hyojin Park, Jisoo Jeong, Youngjoon Yoo, Nojun Kwak:
Superpixel-based semantic segmentation trained by statistical process control. BMVC 2017 - [c7]Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, Jin Young Choi:
Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning. CVPR 2017: 1349-1358 - [c6]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: 2943-2952 - [i4]Hyojin Park, Jisoo Jeong, Youngjoon Yoo, Nojun Kwak:
Superpixel-based semantic segmentation trained by statistical process control. CoRR abs/1706.10071 (2017) - [i3]Simyung Chang, Young Joon Yoo, Jaeseok Choi, Nojun Kwak:
Knowledge Sharing for Reinforcement Learning: Writing a BOOK. CoRR abs/1709.01308 (2017) - [i2]Daesik Kim, Youngjoon Yoo, Jeesoo Kim, Sangkuk Lee, Nojun Kwak:
Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams. CoRR abs/1711.09528 (2017) - [i1]Young Joon Yoo, Seonguk Park, Junyoung Choi, Sangdoo Yun, Nojun Kwak:
Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation. CoRR abs/1711.09681 (2017) - 2016
- [c5]Young Joon Yoo, Kimin Yun, Sangdoo Yun, Jonghee Hong, Hawook Jeong, Jin Young Choi:
Visual Path Prediction in Complex Scenes with Crowded Moving Objects. CVPR 2016: 2668-2677 - 2014
- [j1]Hawook Jeong, Young Joon Yoo, Kwang Moo Yi, Jin Young Choi:
Two-stage online inference model for traffic pattern analysis and anomaly detection. Mach. Vis. Appl. 25(6): 1501-1517 (2014) - [c4]Sangdoo Yun, Kimin Yun, Soo Wan Kim, Youngjoon Yoo, Jiyeoup Jeong:
Visual surveillance briefing system: Event-based video retrieval and summarization. AVSS 2014: 204-209 - [c3]Tushar Sandhan, Young Joon Yoo, Hanjoo Yoo, Sangdoo Yun, Moonsub Byeon:
Multi-task learning with over-sampled time-series representation of a trajectory for traffic motion pattern recognition. AVSS 2014: 349-354 - [c2]Young Joon Yoo, Hawook Jeong, Soo Wan Kim, Jin Young Choi:
Transfer Learning of Motion Patterns in Traffic Scene via Convex Optimization. ICPR 2014: 4158-4163 - 2013
- [c1]Young Joon Yoo, Tushar Sandhan, Jin Young Choi, Sun Kim:
Towards simultaneous clustering and motif-modeling for a large number of protein family. BIBM 2013: 22-28
Coauthor Index
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