C3: Concentrated-comprehensive convolution and its application to semantic segmentation H Park, Y Yoo, G Seo, D Han, S Yun, N Kwak arXiv preprint arXiv:1812.04920, 2018 | 27 | 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 | 13 | 2018 |
C3: Concentrated-comprehensive convolution and its application to semantic segmentation. arXiv 2018 H Park, Y Yoo, G Seo, D Han, S Yun, N Kwak arXiv preprint arXiv:1812.04920, 0 | 9 | |
Training multi-object detector by estimating bounding box distribution for input image J Yoo, H Lee, I Chung, G Seo, N Kwak Proceedings of the IEEE/CVF International Conference on Computer Vision ¡¦, 2021 | 6 | 2021 |
Kl-divergence-based region proposal network for object detection G Seo, J Yoo, J Cho, N Kwak 2020 IEEE International Conference on Image Processing (ICIP), 2001-2005, 2020 | 5 | 2020 |
Mixturemodel-based bounding box density estimation for object detection J Yoo, G Seo, N Kwak arXiv preprint arXiv:1911.12721, 2019 | 3 | 2019 |
Density-based object detection: Learning bounding boxes without ground truth assignment J Yoo, H Lee, I Chung, G Seo, N Kwak | 2 | 2020 |