| Structured landmark detection via topology-adapting deep graph learning W Li, Y Lu, K Zheng, H Liao, C Lin, J Luo, CT Cheng, J Xiao, L Lu, CF Kuo, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 112 | 2020 |
| Does haze removal help cnn-based image classification? Y Pei, Y Huang, Q Zou, Y Lu, S Wang Proceedings of the European conference on computer vision (ECCV), 682-697, 2018 | 85 | 2018 |
| Degraded image semantic segmentation with dense-gram networks D Guo, Y Pei, K Zheng, H Yu, Y Lu, S Wang IEEE Transactions on Image Processing 29, 782-795, 2019 | 63 | 2019 |
| Small object sensitive segmentation of urban street scene with spatial adjacency between object classes D Guo, L Zhu, Y Lu, H Yu, S Wang IEEE Transactions on Image Processing 28 (6), 2643-2653, 2018 | 48 | 2018 |
| Unsupervised homography estimation with coplanarity-aware gan M Hong, Y Lu, N Ye, C Lin, Q Zhao, S Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 47 | 2022 |
| Contour transformer network for one-shot segmentation of anatomical structures Y Lu, K Zheng, W Li, Y Wang, AP Harrison, C Lin, S Wang, J Xiao, L Lu, ... IEEE transactions on medical imaging 40 (10), 2672-2684, 2020 | 26 | 2020 |
| Style mixing and patchwise prototypical matching for one-shot unsupervised domain adaptive semantic segmentation X Wu, Z Wu, Y Lu, L Ju, S Wang Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 2740-2749, 2022 | 22 | 2022 |
| Curve-Structure Segmentation from Depth Maps: A CNN-based Approach and Its Application to Exploring Cultural Heritage Objects Y Lu, J Zhou, J Chen, J Wang, K Smith, W Colin, S Wang AAAI Conference on Artificial Intelligence (AAAI), 2018 | 19 | 2018 |
| Learning to segment anatomical structures accurately from one exemplar Y Lu, W Li, K Zheng, Y Wang, AP Harrison, C Lin, S Wang, J Xiao, L Lu, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 17 | 2020 |
| Unsupervised global and local homography estimation with motion basis learning S Liu, Y Lu, H Jiang, N Ye, C Wang, B Zeng IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (6), 7885-7899, 2022 | 16 | 2022 |
| Semi-supervised deep large-baseline homography estimation with progressive equivalence constraint H Jiang, H Li, Y Lu, S Han, S Liu Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 1024-1032, 2023 | 15 | 2023 |
| A Framework for Design Identification on Heritage Objects J Zhou, Y Lu, K Smith, C Wilder, S Wang, P Sagona, B Torkian Proceedings of the Practice and Experience in Advanced Research Computing, 62, 2019 | 9 | 2019 |
| Cross-domain few-shot segmentation with transductive fine-tuning Y Lu, X Wu, Z Wu, S Wang arXiv preprint arXiv:2211.14745, 2022 | 7 | 2022 |
| 基于特征匹配的月球撞击坑自动提取研究 鲁宇航， 苗放， 都骏 测绘科学 38 (5), 108-111, 2013 | 7 | 2013 |
| Design identification of curve patterns on cultural heritage objects: combining template matching and CNN-based re-ranking J Zhou, Y Lu, K Zheng, K Smith, C Wilder, S Wang arXiv preprint arXiv:1805.06862, 2018 | 5 | 2018 |
| Snowvision: Segmenting, identifying, and discovering stamped curve patterns from fragments of pottery Y Lu, J Zhou, ST McDorman, C Zhang, D Scott, J Bukuts, C Wilder, ... International Journal of Computer Vision 130 (11), 2707-2732, 2022 | 4 | 2022 |
| Radiographic bone texture analysis using deep learning models for early rheumatoid arthritis diagnosis YJ Huang, M Shun, K Zheng, L Lu, Y Lu, C Lin, CF Kuo | 4 | 2020 |
| Structured landmark detection via topology-adapting deep graph learning SP Miao, LI Weijian, LU Yuhang, K Zheng, L Lu US Patent 11,763,468, 2023 | 3 | 2023 |
| 月球撞击坑边缘清晰度评价方法的研究 都骏， 苗放， 鲁宇航， 唐中林， 李淼 计算机工程与应用 49 (15), 179-183, 2013 | 2 | 2013 |
| Scale-constrained unsupervised evaluation method for multi-scale image segmentation Y Lu, Y Wan, G Li IEEE International Conference on Image Processing (ICIP), 2016 | 1 | 2016 |
