| Et-net: A generic edge-attention guidance network for medical image segmentation Z Zhang, H Fu, H Dai, J Shen, Y Pang, L Shao Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 266 | 2019 |
| A 3d morphable model of craniofacial shape and texture variation H Dai, N Pears, WAP Smith, C Duncan Proceedings of the IEEE international conference on computer vision, 3085-3093, 2017 | 133 | 2017 |
| Statistical modeling of craniofacial shape and texture H Dai, N Pears, W Smith, C Duncan International Journal of Computer Vision 128 (2), 547-571, 2020 | 103 | 2020 |
| M3dssd: Monocular 3d single stage object detector S Luo, H Dai*, L Shao, Y Ding Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 83 | 2021 |
| Highly accurate dichotomous image segmentation X Qin, H Dai, X Hu, DP Fan, L Shao, L Van Gool European Conference on Computer Vision, 38-56, 2022 | 79 | 2022 |
| Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection Y Hong, H Dai*, Y Ding European Conference on Computer Vision 13670, 87-104, 2022 | 71 | 2022 |
| Pseudo-stereo for monocular 3d object detection in autonomous driving YN Chen, H Dai*, Y Ding Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 64 | 2022 |
| Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers Z Huang*, H Dai*, TZ Xiang, S Wang, HX Chen, J Qin, H Xiong CVPR 2023, 2023 | 62 | 2023 |
| 3D IoU-Net: IoU guided 3D object detector for point clouds J Li, S Luo, Z Zhu, H Dai, AS Krylov, Y Ding, L Shao arXiv preprint arXiv:2004.04962, 2020 | 60 | 2020 |
| Video transformer for deepfake detection with incremental learning SA Khan, H Dai* Proceedings of the 29th ACM International Conference on Multimedia, 1821-1828, 2021 | 54 | 2021 |
| From voxel to point: Iou-guided 3d object detection for point cloud with voxel-to-point decoder J Li, H Dai*, L Shao, Y Ding Proceedings of the 29th ACM International Conference on Multimedia, 4622-4631, 2021 | 54 | 2021 |
| High-resolution Iterative Feedback Network for Camouflaged Object Detection X Hu, DP Fan, X Qin, H Dai*, W Ren, Y Tai, C Wang, L Shao The 37th AAAI Conference on Artificial Intelligence (AAAI 2023), 2023 | 53 | 2023 |
| MSeg3D: Multi-modal 3D Semantic Segmentation for Autonomous Driving J Li, H Dai*, H Han, Y Ding CVPR 2023, 2023 | 44 | 2023 |
| A data-augmented 3D morphable model of the ear H Dai, N Pears, W Smith 2018 13th IEEE International Conference on Automatic Face & Gesture …, 2018 | 36 | 2018 |
| Anchor-free 3d single stage detector with mask-guided attention for point cloud J Li, H Dai*, L Shao, Y Ding Proceedings of the 29th ACM International Conference on Multimedia, 553-562, 2021 | 32 | 2021 |
| Scribble-based boundary-aware network for weakly supervised salient object detection in remote sensing images Z Huang, TZ Xiang, HX Chen, H Dai ISPRS Journal of Photogrammetry and Remote Sensing 191, 290-301, 2022 | 30 | 2022 |
| P2V-RCNN: Point to voxel feature learning for 3D object detection from point clouds J Li, Y Sun, S Luo, Z Zhu, H Dai, AS Krylov, Y Ding, L Shao IEEE Access 9, 98249-98260, 2021 | 26 | 2021 |
| Self-Distillation for Robust LiDAR Semantic Segmentation in Autonomous Driving J Li, H Dai*, Y Ding Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 23 | 2022 |
| Image quality assessment scheme with topographic independent components analysis for sparse feature extraction Y Ding, H Dai, S Wang Electronics Letters 50 (7), 509-510, 2014 | 22 | 2014 |
| Functional faces: Groupwise dense correspondence using functional maps C Zhang, WAP Smith, A Dessein, N Pears, H Dai Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 21 | 2016 |
Ling Shao, Fellow of IEEE/IAPRGeneral Terminus Technologies; Founder/Initiator of IIAI/MBZUAI在 inceptioniai.org 的电子邮件经过验证
