| Vilt: Vision-and-language transformer without convolution or region supervision W Kim, B Son, I Kim International Conference on Machine Learning, 5583-5594, 2021 | 1907 | 2021 |
| The liver tumor segmentation benchmark (lits) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical Image Analysis, 102680, 2022 | 1389 | 2022 |
| The medical segmentation decathlon M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ... Nature Communications 13 (1), 1-13, 2022 | 1116 | 2022 |
| Fast autoaugment S Lim, I Kim, T Kim, C Kim, S Kim Advances in Neural Information Processing Systems 32, 2019 | 797 | 2019 |
| VisDrone-DET2019: The vision meets drone object detection in image challenge results D Du, P Zhu, L Wen, X Bian, H Lin, Q Hu, T Peng, J Zheng, X Wang, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 697 | 2019 |
| Spatially consistent representation learning B Roh, W Shin, I Kim, S Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 115 | 2021 |
| Learning loss for test-time augmentation I Kim, Y Kim, S Kim Advances in Neural Information Processing Systems 33, 4163-4174, 2020 | 112 | 2020 |
| Scalable Neural Architecture Search for 3D Medical Image Segmentation S Kim, I Kim, S Lim, W Baek, C Kim, H Cho, B Yoon, T Kim International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 91 | 2019 |
| Contrastive regularization for semi-supervised learning D Lee, S Kim, I Kim, Y Cheon, M Cho, WS Han Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 54 | 2022 |
| torchgpipe: On-the-fly Pipeline Parallelism for Training Giant Models C Kim, H Lee, M Jeong, W Baek, B Yoon, I Kim, S Lim, S Kim arXiv preprint arXiv:2004.09910, 2020 | 53 | 2020 |
| LNDb challenge on automatic lung cancer patient management J Pedrosa, G Aresta, C Ferreira, G Atwal, HA Phoulady, X Chen, R Chen, ... Medical image analysis 70, 102027, 2021 | 37 | 2021 |
| Spatially Attentive Output Layer for Image Classification I Kim, W Baek, S Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 37 | 2020 |
| Kogpt: Kakaobrain korean (hangul) generative pre-trained transformer I Kim, G Han, J Ham, W Baek Opgehaal van https://github. com/kakaobrain/kogpt, 2021 | 25 | 2021 |
| AutoCLINT: The Winning Method in AutoCV Challenge 2019 W Baek, I Kim, S Kim, S Lim arXiv preprint arXiv:2005.04373, 2020 | 1 | 2020 |
| Visdrone-det2019: The vision meets drone object detection in image challenge results DR Pailla IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019 | | 2019 |
Sungwoong KimAssociate Professor, Korea UniversityПотвърден имейл адрес: korea.ac.kr