| In-field automatic observation of wheat heading stage using computer vision Y Zhu, Z Cao, H Lu, Y Li, Y Xiao Biosystems Engineering 143, 28-41, 2016 | 108 | 2016 |
| In-field cotton detection via region-based semantic image segmentation Y Li, Z Cao, H Lu, Y Xiao, Y Zhu, AB Cremers Computers and Electronics in Agriculture 127, 475-486, 2016 | 86 | 2016 |
| Region-based colour modelling for joint crop and maize tassel segmentation H Lu, Z Cao, Y Xiao, Y Li, Y Zhu Biosystems Engineering 147, 139-150, 2016 | 64 | 2016 |
| Fine-grained maize tassel trait characterization with multi-view representations H Lu, Z Cao, Y Xiao, Z Fang, Y Zhu, K Xian Computers and Electronics in Agriculture 118, 143-158, 2015 | 61 | 2015 |
| Sequential optimization for efficient high-quality object proposal generation Z Zhang, Y Liu, X Chen, Y Zhu, MM Cheng, V Saligrama, PHS Torr IEEE transactions on pattern analysis and machine intelligence 40 (5), 1209-1223, 2017 | 42 | 2017 |
| Sonicasl: An acoustic-based sign language gesture recognizer using earphones Y Jin, Y Gao, Y Zhu, W Wang, J Li, S Choi, Z Li, J Chauhan, AK Dey, Z Jin Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2021 | 31 | 2021 |
| Toward good practices for fine-grained maize cultivar identification with filter-specific convolutional activations H Lu, Z Cao, Y Xiao, Z Fang, Y Zhu IEEE Transactions on Automation Science and Engineering 15 (2), 430-442, 2016 | 22 | 2016 |
| Cp-nas: Child-parent neural architecture search for 1-bit cnns B Zhang, H Chen, L Yang, C Chen, Y Zhu, D Doermann Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 16 | 2021 |
| Towards fine-grained maize tassel flowering status recognition: Dataset, theory and practice H Lu, Z Cao, Y Xiao, Z Fang, Y Zhu Applied Soft Computing 56, 34-45, 2017 | 16 | 2017 |
| Joint crop and tassel segmentation in the wild H Lu, Z Cao, Y Xiao, Y Li, Y Zhu 2015 Chinese Automation Congress (CAC), 474-479, 2015 | 14 | 2015 |
| Two-dimensional subspace alignment for convolutional activations adaptation H Lu, Z Cao, Y Xiao, Y Zhu Pattern Recognition 71, 320-336, 2017 | 13 | 2017 |
| PB-GCN: Progressive binary graph convolutional networks for skeleton-based action recognition M Zhao, S Dai, Y Zhu, H Tang, P Xie, Y Li, C Liu, B Zhang Neurocomputing 501, 640-649, 2022 | 11 | 2022 |
| PIMNet: Physics-Infused Neural Network for Human Motion Prediction Z Zhang, Y Zhu, R Rai, D Doermann IEEE Robotics and Automation Letters 7 (4), 8949-8955, 2022 | 10 | 2022 |
| A novel denoising autoencoder assisted segmentation algorithm for cotton field Y Li, Z Cao, Y Xiao, H Lu, Y Zhu 2015 Chinese Automation Congress (CAC), 588-593, 2015 | 9 | 2015 |
| MetaMix: Towards Corruption-Robust Continual Learning With Temporally Self-Adaptive Data Transformation Z Wang, L Shen, D Zhan, Q Suo, Y Zhu, T Duan, M Gao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
| System and method for automated learning from sensors Q Liu, Y Zhang, LU Yu-Ding, Y Zhu US Patent 11,507,778, 2022 | 5 | 2022 |
| System and method for vision-based joint action and pose motion forecasting Y Zhu, Y Zhang, Q Liu, A Girgensohn, D Avrahami, F Chen, H Hu US Patent 10,911,775, 2021 | 5 | 2021 |
| Fine-grained maize cultivar identification using filter-specific convolutional activations H Lu, Z Cao, Y Xiao, Z Fang, Y Zhu 2016 IEEE International Conference on Image Processing (ICIP), 3718-3722, 2016 | 5 | 2016 |
| What and How? Jointly Forecasting Human Action and Pose Y Zhu, D Doermann, Y Zhang, Q Liu, A Girgensohn 2020 25th International Conference on Pattern Recognition (ICPR), 771-778, 2021 | 4 | 2021 |
| Selecting Informative Frames for Action Recognition with Partial Observations Y Zhu, G Yu, J Yuan, KK Ma 2018 25th IEEE International Conference on Image Processing (ICIP), 465-469, 2018 | 3 | 2018 |
Hao LuAssociate Professor, Huazhong University of Science and Technology在 hust.edu.cn 的电子邮件经过验证
