| 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/CVF international conference on computer vision …, 2019 | 6106 | 2019 |
| 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 | 619 | 2017 |
| Rainbow memory: Continual learning with a memory of diverse samples J Bang, H Kim, YJ Yoo, JW Ha, J Choi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 386 | 2021 |
| Rethinking channel dimensions for efficient model design D Han, S Yun, B Heo, YJ Yoo Proceedings of the IEEE/CVF conference on Computer Vision and Pattern …, 2021 | 160* | 2021 |
| 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 | 91 | 2018 |
| Ssul: Semantic segmentation with unknown label for exemplar-based class-incremental learning S Cha, YJ Yoo, T Moon Advances in neural information processing systems 34, 10919-10930, 2021 | 86 | 2021 |
| Mc-gan: Multi-conditional generative adversarial network for image synthesis H Park, Y Yoo, N Kwak BMVC 2018, 2018 | 81 | 2018 |
| 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 | 64* | 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 | 62 | 2020 |
| Extd: Extremely tiny face detector via iterative filter reuse YJ Yoo, D Han, S Yun arXiv preprint arXiv:1906.06579, 2019 | 53 | 2019 |
| 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, 1501-1517, 2014 | 50 | 2014 |
| Beyond semantic to instance segmentation: Weakly-supervised instance segmentation via semantic knowledge transfer and self-refinement B Kim, Y Yoo, CE Rhee, J Kim Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 43 | 2022 |
| 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 | 42 | 2016 |
| 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 Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 39 | 2020 |
| 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 | 36 | 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 | 35 | 2017 |
| Extremec3net: Extreme lightweight portrait segmentation networks using advanced c3-modules H Park, LL Sjösund, YJ Yoo, J Bang, N Kwak arXiv preprint arXiv:1908.03093, 2019 | 34 | 2019 |
| 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 | 12 | 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 | 11 | 2016 |
| Learning features with parameter-free layers D Han, YJ Yoo, B Kim, B Heo International conference on Learning Representation (ICLR) 2022., 2022 | 8 | 2022 |
Sangdoo YunNAVER AI LabEmail verificata su navercorp.com