| Automatic polyp recognition in colonoscopy images using deep learning and two-stage pyramidal feature prediction X Jia, X Mai, Y Cui, Y Yuan, X Xing, H Seo, L Xing, MQH Meng IEEE Transactions on Automation Science and Engineering 17 (3), 1570-1584, 2020 | 108 | 2020 |
| Faster R-CNN with classifier fusion for automatic detection of small fruits X Mai, H Zhang, X Jia, MQH Meng IEEE Transactions on Automation Science and Engineering 17 (3), 1555-1569, 2020 | 90 | 2020 |
| Faster R-CNN with Classifier Fusion for Small Fruit Detection X Mai, H Zhang, MQH Meng IEEE International Conference on Robotics and Automation (ICRA) 2018, 2018 | 34 | 2018 |
| Improving dense mapping for mobile robots in dynamic environments based on semantic information J Cheng, C Wang, X Mai, Z Min, MQH Meng IEEE Sensors Journal 21 (10), 11740-11747, 2020 | 18 | 2020 |
| Automatic lesion segmentation from rice leaf blast field images based on random forest X Mai, MQH Meng 2016 IEEE International Conference on Real-time Computing and Robotics (RCAR …, 2016 | 16 | 2016 |
| A novel mapping strategy based on neocortex model: Pre-liminary results by hierarchical temporal memory X Zhang, J Zhang, AB Rad, X Mai, Y Jin 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO), 476-481, 2012 | 12 | 2012 |
| A searching space constrained partial to full registration approach with applications in airport trolley deployment robot J Pan, X Mai, C Wang, Z Min, J Wang, H Cheng, T Li, E Lyu, L Liu, ... IEEE Sensors Journal 21 (10), 11946-11960, 2021 | 11 | 2021 |
| Simple perception-action strategy based on hierarchical temporal memory X Mai, X Zhang, Y Jin, Y Yang, J Zhang 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1759 …, 2013 | 10 | 2013 |
| Coarse-to-Fine Visual Object Catching Strategy Applied in Autonomous Airport Baggage Trolley Collection C Wang, X Mai, D Ho, T Liu, C Li, J Pan, MQH Meng IEEE Sensors Journal, 2021 | 8 | 2021 |
| A density map estimation model with dropblock regularization for clustered-fruit counting X Mai, X Jia, X Deng, MQH Meng 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 5 | 2019 |
| Multibranch learning for angiodysplasia segmentation with attention-guided networks and domain adaptation X Jia, X Mai, X Xing, Y Shen, J Wang, MQH Meng 2021 IEEE International Conference on Robotics and Automation (ICRA), 12373 …, 2021 | 2 | 2021 |
| CMCNet: Colorization-Aware Mix-Uncertainty-Adaptive Consistency Network for Semi-Supervised Fruit Counting X Mai, M Zhu, Y Yuan IEEE Transactions on Automation Science and Engineering, 2023 | 1 | 2023 |
| Method and apparatus using semi-supervised deep convolution neural network for crop yield estimation in intelligent agriculture Y Yuan, X Mai US Patent 12,150,400, 2024 | | 2024 |
| ParetoSSL: Pareto Semi-Supervised Learning With Bias-Aware Gradient Preferences for Fruit Yield Estimation X Mai, M Zhu, Y Yuan IEEE Transactions on Automation Science and Engineering, 2024 | | 2024 |
| Intelligent robotic system for autonomous airport trolley collection MQH Meng, C Wang, T Liu, X Mai, C Li, D Ho US Patent 11,613,007, 2023 | | 2023 |
| An Uncertainty-Adaptive Consistency Training Algorithm for Semi-Supervised Object Counting Networks X Mai, Y Yuan Procedia Computer Science 226, 57-64, 2023 | | 2023 |
Max Q.-H. MengSouthern University of Science and TechnologyПотвърден имейл адрес: ieee.org