| Learning to Upsample by Learning to Sample W Liu, H Lu, H Fu, Z Cao International Conference on Computer Vision (ICCV), 2023 | 696 | 2023 |
| Ear density estimation from high resolution RGB imagery using deep learning technique S Madec, X Jin, H Lu, B De Solan, S Liu, F Duyme, E Heritier, F Baret Agricultural and Forest Meteorology 264, 225-234, 2019 | 344 | 2019 |
| TasselNet: counting maize tassels in the wild via local counts regression network H Lu, Z Cao, Y Xiao, B Zhuang, C Shen Plant Methods 13, 1-17, 2017 | 314 | 2017 |
| Monocular relative depth perception with web stereo data supervision K Xian, C Shen, Z Cao, H Lu, Y Xiao, R Li, Z Luo IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 311-320, 2018 | 279 | 2018 |
| Indices Matter: Learning to Index for Deep Image Matting H Lu, Y Dai, C Shen, S Xu International Conference on Computer Vision (ICCV), 2019 | 278 | 2019 |
| From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer H Xiong*, H Lu*, C Liu, L Liu, Z Cao, C Shen International Conference on Computer Vision (ICCV), 2019 | 225 | 2019 |
| TasselNetv2: in-field counting of wheat spikes with context-augmented local regression networks H Xiong, Z Cao, H Lu, S Madec, L Liu, C Shen Plant Methods 15 (1), 150, 2019 | 158 | 2019 |
| Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting M Shi, H Lu, C Feng, C Liu, Z Cao IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 9529-9538, 2022 | 157 | 2022 |
| 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 | 141 | 2016 |
| Deep attention-based classification network for robust depth prediction R Li, K Xian, C Shen, Z Cao, H Lu, L Hang Asian Conference on Computer Vision (ACCV), 663-678, 2018 | 125 | 2018 |
| Decoupled Two-Stage Crowd Counting and Beyond J Cheng, H Xiong, Z Cao, H Lu IEEE Transactions on Image Processing 30, 2862 - 2875, 2021 | 109 | 2021 |
| An Embarrassingly Simple Approach to Visual Domain Adaptation H Lu, C Shen, Z Cao, Y Xiao, A van den Hengel IEEE Transactions on Image Processing 27 (7), 3403-3417, 2018 | 107 | 2018 |
| SESV: Accurate medical image segmentation by predicting and correcting errors Y Xie, J Zhang, H Lu, C Shen, Y Xia IEEE Transactions on Medical Imaging 40 (1), 286-296, 2021 | 105 | 2021 |
| Weighing Counts: Sequential Crowd Counting by Reinforcement Learning L Liu*, H Lu*, H Zou, H Xiong, Z Cao, C Shen European Conference on Computer Vision (ECCV), 2020 | 105 | 2020 |
| TasselNetV2+: A fast implementation for high-throughput plant counting from high-resolution RGB imagery H Lu, Z Cao Frontiers in Plant Science 11, 541960, 2020 | 101 | 2020 |
| 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 | 101 | 2016 |
| Point-Query Quadtree for Crowd Counting, Localization, and More C Liu, H Lu, Z Cao, T Liu International Conference on Computer Vision (ICCV), 2023 | 97 | 2023 |
| When Unsupervised Domain Adaptation Meets Tensor Representations H Lu, L Zhang, Z Cao, W Wei, K Xian, C Shen, A Hengel International Conference on Computer Vision (ICCV), 2017 | 92 | 2017 |
| TasselNetV3: Explainable plant counting with guided upsampling and background suppression H Lu, L Liu, YN Li, XM Zhao, XQ Wang, ZG Cao IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2021 | 90 | 2021 |
| SAPA: Similarity-Aware Point Affiliation for Feature Upsampling H Lu, W Liu, Z Ye, H Fu, Y Liu, Z Cao Advances in Neural Information Processing Systems (NeurIPS), 2022 | 83 | 2022 |
Zhiguo CaoHuazhong University of Science and TechnologyVerified email at hust.edu.cn
