| Fully convolutional one-stage 3d object detection on lidar range images Z Tian, X Chu, X Wang, X Wei, C Shen Advances in Neural Information Processing Systems 35, 34899-34911, 2022 | 6289 | 2022 |
| Conditional convolutions for instance segmentation Z Tian, C Shen, H Chen Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 691 | 2020 |
| Blendmask: Top-down meets bottom-up for instance segmentation H Chen, K Sun, Z Tian, C Shen, Y Huang, Y Yan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 610 | 2020 |
| FCOS: A simple and strong anchor-free object detector Z Tian, C Shen, H Chen, T He IEEE transactions on pattern analysis and machine intelligence 44 (4), 1922-1933, 2020 | 543 | 2020 |
| Abcnet: Real-time scene text spotting with adaptive bezier-curve network Y Liu, H Chen, C Shen, T He, L Jin, L Wang proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 415 | 2020 |
| Boxinst: High-performance instance segmentation with box annotations Z Tian, C Shen, X Wang, H Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 259 | 2021 |
| Nas-fcos: Fast neural architecture search for object detection N Wang, Y Gao, H Chen, P Wang, Z Tian, C Shen arXiv preprint arXiv:1906.04423, 2019 | 242 | 2019 |
| Fast neural architecture search of compact semantic segmentation models via auxiliary cells V Nekrasov, H Chen, C Shen, I Reid Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 187 | 2019 |
| Deep learning for source code modeling and generation: Models, applications, and challenges THM Le, H Chen, MA Babar ACM Computing Surveys (CSUR) 53 (3), 1-38, 2020 | 174 | 2020 |
| Abcnet v2: Adaptive bezier-curve network for real-time end-to-end text spotting Y Liu, C Shen, L Jin, T He, P Chen, C Liu, H Chen IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 8048 …, 2021 | 139 | 2021 |
| Directpose: Direct end-to-end multi-person pose estimation Z Tian, H Chen, C Shen arXiv preprint arXiv:1911.07451, 2019 | 112 | 2019 |
| Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation J Zhang, Y Xie, P Zhang, H Chen, Y Xia, C Shen International Joint Conferences on Artificial Intelligence, 4271-4277, 2019 | 106 | 2019 |
| Memory-efficient hierarchical neural architecture search for image denoising H Zhang, Y Li, H Chen, C Shen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 86 | 2020 |
| Metric3d: Towards zero-shot metric 3d prediction from a single image W Yin, C Zhang, H Chen, Z Cai, G Yu, K Wang, X Chen, C Shen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 62 | 2023 |
| Datasetdm: Synthesizing data with perception annotations using diffusion models W Wu, Y Zhao, H Chen, Y Gu, R Zhao, Y He, H Zhou, MZ Shou, C Shen Advances in Neural Information Processing Systems 36, 54683-54695, 2023 | 56 | 2023 |
| Adversarial learning of structure-aware fully convolutional networks for landmark localization Y Chen, C Shen, H Chen, XS Wei, L Liu, J Yang IEEE transactions on pattern analysis and machine intelligence 42 (7), 1654-1669, 2019 | 54 | 2019 |
| Instance and panoptic segmentation using conditional convolutions Z Tian, B Zhang, H Chen, C Shen IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (1), 669-680, 2022 | 52 | 2022 |
| Matcher: Segment anything with one shot using all-purpose feature matching Y Liu, M Zhu, H Li, H Chen, X Wang, C Shen arXiv preprint arXiv:2305.13310, 2023 | 45 | 2023 |
| Generic perceptual loss for modeling structured output dependencies Y Liu, H Chen, Y Chen, W Yin, C Shen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 37 | 2021 |
| Learning conditional attributes for compositional zero-shot learning Q Wang, L Liu, C Jing, H Chen, G Liang, P Wang, C Shen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 29 | 2023 |
Chunhua ShenZhejiang UniversityVerified email at zju.edu.cn
