| 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 | 4042 | 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 | 572 | 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 | 201 | 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 | 94* | 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 | 77 | 2018 |
| Mc-gan: Multi-conditional generative adversarial network for image synthesis H Park, Y Yoo, N Kwak BMVC 2018, 2018 | 69 | 2018 |
| 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 | 57* | 2020 |
| 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 | 49 | 2014 |
| 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 | 44 | 2020 |
| 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 | 38 | 2016 |
| Extd: Extremely tiny face detector via iterative filter reuse YJ Yoo, D Han, S Yun arXiv preprint arXiv:1906.06579, 2019 | 37 | 2019 |
| SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning S Cha Beomyoung Kim, Y Yoo, T Moon Advances in Neural Information Processing Systems 34 pre-proceedings …, 2021 | 35* | 2021 |
| 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 | 33* | 2018 |
| 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 | 30 | 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 | 28 | 2017 |
| 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 | 16 | 2022 |
| 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 | 10 | 2016 |
| FrostNet: Towards quantization-aware network architecture search T Kim, YJ Yoo, J Yang arXiv preprint arXiv:2006.09679, 2020 | 8* | 2020 |
| Superpixel-based semantic segmentation trained by statistical process control H Park, J Jeong, Y Yoo, N Kwak arXiv preprint arXiv:1706.10071, 2017 | 7 | 2017 |
Sangdoo YunNAVER AI LabVerified email at navercorp.com
