| PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection S Shi, C Guo, L Jiang, Z Wang, J Shi, X Wang, H Li CVPR 2020, 2020 | 878 | 2020 |
| From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network S Shi, Z Wang, J Shi, X Wang, H Li arXiv preprint arXiv:1907.03670, 2019 | 523* | 2019 |
| Deepid-net: Deformable deep convolutional neural networks for object detection W Ouyang, X Wang, X Zeng, S Qiu, P Luo, Y Tian, H Li, S Yang, Z Wang, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 519 | 2015 |
| T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos K Kang, J Yan, X Zeng, B Yang, T Xiao, C Zhang, Z Wang, R Wang, ... IEEE Transactions on Circuits and Systems for Video Technology, 2017 | 479 | 2017 |
| Zoom-in-Net: Deep Mining Lesions for Diabetic Retinopathy Detection Z Wang, Y Yin, J Shi, W Fang, H Li, X Wang MICCAI 2017, 2017 | 211 | 2017 |
| Learning Depth-Guided Convolutions for Monocular 3D Object Detection M Ding, Y Huo, H Yi, Z Wang, J Shi, Z Lu, P Luo CVPR 2020, 2019 | 176 | 2019 |
| Deepid-net: multi-stage and deformable deep convolutional neural networks for object detection W Ouyang, P Luo, X Zeng, S Qiu, Y Tian, H Li, S Yang, Z Wang, Y Xiong, ... arXiv preprint arXiv:1409.3505, 2014 | 160 | 2014 |
| Robust Multi-Modality Multi-Object Tracking W Zhang, H Zhou, S Sun, Z Wang, J Shi, CC Loy International Conference in Computer Vision (ICCV 2019), 2019 | 152 | 2019 |
| Crafting gbd-net for object detection X Zeng, W Ouyang, J Yan, H Li, T Xiao, K Wang, Y Liu, Y Zhou, B Yang, ... IEEE transactions on pattern analysis and machine intelligence, 2017 | 151 | 2017 |
| DeepID-Net: Object detection with deformable part based convolutional neural networks W Ouyang, X Zeng, X Wang, S Qiu, P Luo, Y Tian, H Li, S Yang, Z Wang, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (7), 1320-1334, 2016 | 120 | 2016 |
| Pose Guided Human Video Generation C Yang, Z Wang, X Zhu, C Huang, J Shi, D Lin European Conference on Computer Vision, 2018 | 117 | 2018 |
| PV-RCNN++: Point-voxel feature set abstraction with local vector representation for 3D object detection S Shi, L Jiang, J Deng, Z Wang, C Guo, J Shi, X Wang, H Li International Journal of Computer Vision (IJCV), 2021 | 93 | 2021 |
| CamNet: Coarse-to-Fine Retrieval for Camera Re-Localization M Ding, Z Wang, J Sun, J Shi, P Luo International Conference in Computer Vision (ICCV 2019), 2019 | 85 | 2019 |
| Cylinder3d: An effective 3d framework for driving-scene lidar semantic segmentation H Zhou, X Zhu, X Song, Y Ma, Z Wang, H Li, D Lin arXiv preprint arXiv:2008.01550, 2020 | 83 | 2020 |
| Video Object Segmentation with Re-identification X Li, Y Qi, Z Wang, K Chen, Z Liu, J Shi, P Luo, CC Loy, X Tang CVPR Workshops, 2017, 2017 | 79 | 2017 |
| Automatic differentiation of Glaucoma visual field from non-glaucoma visual filed using deep convolutional neural network F Li, Z Wang, G Qu, D Song, Y Yuan, Y Xu, K Gao, G Luo, Z Xiao, ... BMC medical imaging 18, 1-7, 2018 | 75 | 2018 |
| St3d: Self-training for unsupervised domain adaptation on 3d object detection J Yang, S Shi, Z Wang, H Li, X Qi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 67 | 2021 |
| Focusnet: Imbalanced large and small organ segmentation with an end-to-end deep neural network for head and neck ct images Y Gao, R Huang, M Chen, Z Wang, J Deng, Y Chen, Y Yang, J Zhang, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 58 | 2019 |
| Temporal-channel transformer for 3d lidar-based video object detection for autonomous driving Z Yuan, X Song, L Bai, Z Wang, W Ouyang IEEE Transactions on Circuits and Systems for Video Technology 32 (4), 2068-2078, 2021 | 47 | 2021 |
| A multi-task framework with feature passing module for skin lesion classification and segmentation S Chen, Z Wang, J Shi, B Liu, N Yu IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 1126-1129, 2018 | 46 | 2018 |
Hongsheng Li (李鸿升)Associate Professor at The Chinese University of Hong Kong在 ee.cuhk.edu.hk 的電子郵件地址已通過驗證
