| Action-decision networks for visual tracking with deep reinforcement learning S Yun, J Choi, Y Yoo, K Yun, J Young Choi Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 314 | 2017 |
| Cutmix: Regularization strategy to train strong classifiers with localizable features S Yun, D Han, SJ Oh, S Chun, J Choe, Y Yoo Proceedings of the IEEE International Conference on Computer Vision, 6023-6032, 2019 | 210 | 2019 |
| Visual path prediction in complex scenes with crowded moving objects YJ Yoo, K Yun, S Yun, JH Hong, H Jeong, J Young Choi Proceedings of the ieee conference on computer vision and pattern …, 2016 | 36 | 2016 |
| Two-stage online inference model for traffic pattern analysis and anomaly detection H Jeong, Y Yoo, KM Yi, JY Choi Machine vision and applications 25 (6), 1501-1517, 2014 | 36 | 2014 |
| Mc-gan: Multi-conditional generative adversarial network for image synthesis H Park, Y Yoo, N Kwak arXiv preprint arXiv:1805.01123, 2018 | 26 | 2018 |
| Action-driven visual object tracking with deep reinforcement learning S Yun, J Choi, Y Yoo, K Yun, JY Choi IEEE transactions on neural networks and learning systems 29 (6), 2239-2252, 2018 | 24 | 2018 |
| Variational autoencoded regression: high dimensional regression of visual data on complex manifold YJ Yoo, S Yun, H Jin Chang, Y Demiris, J Young Choi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 14 | 2017 |
| Extd: Extremely tiny face detector via iterative filter reuse YJ Yoo, D Han, S Yun arXiv preprint arXiv:1906.06579, 2019 | 10 | 2019 |
| Dynamic graph generation network: Generating relational knowledge from diagrams D Kim, YJ Yoo, JS Kim, S Lee, N Kwak Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 10 | 2018 |
| An empirical evaluation on robustness and uncertainty of regularization methods S Chun, SJ Oh, S Yun, D Han, J Choe, Y Yoo arXiv preprint arXiv:2003.03879, 2020 | 9 | 2020 |
| Pose transforming network: Learning to disentangle human posture in variational auto-encoded latent space J Lim, Y Yoo, B Heo, JY Choi Pattern Recognition Letters 112, 91-97, 2018 | 8 | 2018 |
| Cutmix: Regularization strategy to train strong classifiers with localizable features. 2019 IEEE S Yun, D Han, S Chun, SJ Oh, Y Yoo, J Choe CVF International Conference on Computer Vision (ICCV), 6022-6031, 2019 | 7 | 2019 |
| Multi-task learning with over-sampled time-series representation of a trajectory for traffic motion pattern recognition T Sandhan, Y Yoo, H Yoo, S Yun, M Byeon 2014 11th IEEE International Conference on Advanced Video and Signal Based …, 2014 | 6 | 2014 |
| Concentrated-comprehensive convolutions for lightweight semantic segmentation H Park, Y Yoo, G Seo, D Han, S Yun, N Kwak arXiv preprint arXiv:1812.04920, 2018 | 5 | 2018 |
| Method and apparatus for detecting abnormal movement YJ Yoo, HW Jeong, KM Yi, JY Choi, DJ Park, JE Lim US Patent 9,286,693, 2016 | 5 | 2016 |
| Motion interaction field for detection of abnormal interactions K Yun, Y Yoo, JY Choi Machine Vision and Applications 28 (1-2), 157-171, 2017 | 3 | 2017 |
| Visual surveillance briefing system: Event-based video retrieval and summarization S Yun, K Yun, SW Kim, Y Yoo, J Jeong 2014 11th IEEE International Conference on Advanced Video and Signal Based …, 2014 | 3 | 2014 |
| SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Module and Information Blocking Decoder H Park, L Sjosund, YJ Yoo, N Monet, J Bang, N Kwak The IEEE Winter Conference on Applications of Computer Vision, 2066-2074, 2020 | 2 | 2020 |
| Superpixel-based semantic segmentation trained by statistical process control H Park, J Jeong, Y Yoo, N Kwak arXiv preprint arXiv:1706.10071, 2017 | 2 | 2017 |
| Graph pyramids for protein function prediction T Sandhan, Y Yoo, JY Choi, S Kim BMC Medical Genomics 8 (S2), S12, 2015 | 2 | 2015 |
Sangdoo YunClova AI Research, NAVER Corp.Verified email at navercorp.com
