| Dual attention matching network for context-aware feature sequence based person re-identification J Si, H Zhang, CG Li, J Kuen, X Kong, AC Kot, G Wang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 498 | 2018 |
| Beyond classification: structured regression for robust cell detection using convolutional neural network Y Xie, F Xing, X Kong, H Su, L Yang Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th …, 2015 | 257 | 2015 |
| Boosting weighted ELM for imbalanced learning K Li, X Kong, Z Lu, L Wenyin, J Yin Neurocomputing 128, 15-21, 2014 | 171 | 2014 |
| Efficient and robust cell detection: A structured regression approach Y Xie, F Xing, X Shi, X Kong, H Su, L Yang Medical image analysis 44, 245-254, 2018 | 154 | 2018 |
| Motion-Guided Cascaded Refinement Network for Video Object Segmentation P Hu, G Wang, X Kong, J Kuen, Y Tan IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (8), 1957 …, 2020 | 131 | 2020 |
| Deep voting: A robust approach toward nucleus localization in microscopy images Y Xie, X Kong, F Xing, F Liu, H Su, L Yang Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th …, 2015 | 111 | 2015 |
| Robust cell detection and segmentation in histopathological images using sparse reconstruction and stacked denoising autoencoders H Su, F Xing, X Kong, Y Xie, S Zhang, L Yang Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th …, 2015 | 109 | 2015 |
| Class-specific soft voting based multiple extreme learning machines ensemble J Cao, S Kwong, R Wang, X Li, K Li, X Kong Neurocomputing 149, 275-284, 2015 | 99 | 2015 |
| Multiclass boosting SVM using different texture features in HEp-2 cell staining pattern classification K Li, J Yin, Z Lu, X Kong, R Zhang, W Liu Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 59 | 2012 |
| Exploring the sentiment strength of user reviews Y Lu, X Kong, X Quan, W Liu, Y Xu Web-Age Information Management: 11th International Conference, WAIM 2010 …, 2010 | 53 | 2010 |
| A new image quality metric for image auto-denoising X Kong, K Li, Q Yang, L Wenyin, MH Yang Proceedings of the IEEE International Conference on Computer Vision, 2888-2895, 2013 | 51 | 2013 |
| Hep-2 cell pattern classification with discriminative dictionary learning X Kong, K Li, J Cao, Q Yang, L Wenyin Pattern Recognition 47 (7), 2379-2388, 2014 | 40 | 2014 |
| DelugeNets: Deep Networks with Efficient and Flexible Cross-layer Information Inflows J Kuen, X Kong, G Wang, YP Tan Proceedings of IEEE International Conference on Computer Vision Workshop …, 2017 | 28* | 2017 |
| Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised Segmentation Weide Liu, Xiangfei Kong, Tzu-Yi Hung, Guosheng Lin IEEE Transaction on Multimedia, 2021 | 19 | 2021 |
| Stochastic downsampling for cost-adjustable inference and improved regularization in convolutional networks J Kuen, X Kong, Z Lin, G Wang, J Yin, S See, YP Tan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 19 | 2018 |
| No-Reference Image Quality Assessment for Image Auto-Denoising X Kong, Q Yang International Journal of Computer Vision, 1-13, 2017 | 18 | 2017 |
| QuickDiagram: A System for Online Sketching and Understanding of Diagrams L Wenyin, X Kong, Y Wang, C Wan, CY Ho, T Lu, Z Sun Graphics Recognition. Achievements, Challenges, and Evolution: 8th …, 2010 | 3 | 2010 |
| Microscopic Muscle Image Enhancement X Kong, L Yang arXiv:1612.05719, 2016 | 1 | 2016 |
Michael WangCenozoic Robotics (CenoBots)Verified email at cz-robots.com
