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 | 6584 | 2022 |
Conditional convolutions for instance segmentation Z Tian, C Shen, H Chen Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 722 | 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 | 640 | 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 | 609 | 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 | 434 | 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 | 280 | 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 | 254 | 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 | 189 | 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 | 185 | 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 | 147 | 2021 |
Directpose: Direct end-to-end multi-person pose estimation Z Tian, H Chen, C Shen arXiv preprint arXiv:1911.07451, 2019 | 115 | 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 | 110 | 2019 |
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 | 89 | 2023 |
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 | 88 | 2020 |
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 | 81 | 2023 |
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 | 60 | 2023 |
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 | 56 | 2022 |
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 |
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 | 40 | 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 | 37 | 2023 |