| U2-Net: Going deeper with nested U-structure for salient object detection X Qin, Z Zhang, C Huang, M Dehghan, OR Zaiane, M Jagersand Pattern recognition (BEST PAPER AWARD) 106, 107404, 2020 | 1564 | 2020 |
| Basnet: Boundary-aware salient object detection X Qin, Z Zhang, C Huang, C Gao, M Dehghan, M Jagersand Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1484 | 2019 |
| Mapping of urban surface water bodies from Sentinel-2 MSI imagery at 10 m resolution via NDWI-based image sharpening X Yang, S Zhao, X Qin, N Zhao, L Liang Remote Sensing 9 (6), 596, 2017 | 317 | 2017 |
| Cognitive vision inspired object segmentation metric and loss function DP Fan, GP Ji, X Qin, MM Cheng Scientia Sinica Informationis 6 (6), 5, 2021 | 154 | 2021 |
| An efficient approach for automatic rectangular building extraction from very high resolution optical satellite imagery J Wang, X Yang, X Qin, X Ye, Q Qin IEEE Geoscience and Remote Sensing Letters 12 (3), 487-491, 2014 | 115 | 2014 |
| Boundary-aware segmentation network for mobile and web applications X Qin, DP Fan, C Huang, C Diagne, Z Zhang, AC Sant'Anna, A Suarez, ... arXiv preprint arXiv:2101.04704, 2021 | 92 | 2021 |
| Highly accurate dichotomous image segmentation X Qin, H Dai, X Hu, DP Fan, L Shao, L Van Gool European Conference on Computer Vision, 38-56, 2022 | 78 | 2022 |
| Bylabel: A boundary based semi-automatic image annotation tool X Qin, S He, Z Zhang, M Dehghan, M Jagersand 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 1804-1813, 2018 | 57 | 2018 |
| High-resolution iterative feedback network for camouflaged object detection X Hu, S Wang, X Qin, H Dai, W Ren, D Luo, Y Tai, L Shao Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 881-889, 2023 | 51 | 2023 |
| Seq2Emo: A sequence to multi-label emotion classification model C Huang, A Trabelsi, X Qin, N Farruque, L Mou, OR Zaiane Proceedings of the 2021 conference of the North American chapter of the …, 2021 | 36 | 2021 |
| Accurate outline extraction of individual building from very high-resolution optical images X Qin, S He, X Yang, M Dehghan, Q Qin, J Martin IEEE Geoscience and Remote Sensing Letters 15 (11), 1775-1779, 2018 | 35 | 2018 |
| Extraction of bridges over water from high-resolution optical remote-sensing images based on mathematical morphology C Chen, Q Qin, N Zhang, J Li, L Chen, J Wang, X Qin, X Yang International journal of remote sensing 35 (10), 3664-3682, 2014 | 32 | 2014 |
| Building façade recognition using oblique aerial images X Yang, X Qin, J Wang, J Wang, X Ye, Q Qin Remote Sensing 7 (8), 10562-10588, 2015 | 25 | 2015 |
| Knowledge-based detection and assessment of damaged roads using post-disaster high-resolution remote sensing image J Wang, Q Qin, J Zhao, X Ye, X Feng, X Qin, X Yang Remote Sensing 7 (4), 4948-4967, 2015 | 25 | 2015 |
| Automated road extraction from multi-resolution images using spectral information and texture J Wang, Q Qin, X Yang, J Wang, X Ye, X Qin 2014 IEEE Geoscience and Remote Sensing Symposium, 533-536, 2014 | 25 | 2014 |
| Facial-sketch synthesis: A new challenge DP Fan, Z Huang, P Zheng, H Liu, X Qin, L Van Gool Machine Intelligence Research 19 (4), 257-287, 2022 | 24 | 2022 |
| Automatic building extraction from very high resolution satellite imagery using line segment detector J Wang, Q Qin, L Chen, X Ye, X Qin, J Wang, C Chen 2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS, 212-215, 2013 | 21 | 2013 |
| Incremental 3D line segment extraction from semi-dense SLAM S He, X Qin, Z Zhang, M Jagersand 2018 24th International Conference on Pattern Recognition (ICPR), 1658-1663, 2018 | 20 | 2018 |
| Seq2emo for multi-label emotion classification based on latent variable chains transformation C Huang, A Trabelsi, X Qin, N Farruque, OR Zaïane arXiv preprint arXiv:1911.02147, 2019 | 19 | 2019 |
| Deep hierarchical representation and segmentation of high resolution remote sensing images J Wang, Q Qin, Z Li, X Ye, J Wang, X Yang, X Qin 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015 | 19 | 2015 |
Martin JagersandUniversity of Alberta在 cs.ualberta.ca 的电子邮件经过验证
