| FCOS: Fully Convolutional One-Stage Object Detection Z Tian, C Shen, H Chen, T He ICCV, 2019 | 6797* | 2019 |
| Detecting text in natural image with connectionist text proposal network Z Tian, W Huang, T He, P He, Y Qiao Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 1279 | 2016 |
| 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 (TPAMI), 2020 | 677 | 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 | 453 | 2020 |
| Text-attentional convolutional neural network for scene text detection T He, W Huang, Y Qiao, J Yao IEEE transactions on image processing 25 (6), 2529-2541, 2016 | 429 | 2016 |
| Single shot text detector with regional attention P He, W Huang, T He, Q Zhu, Y Qiao, X Li Proceedings of the IEEE international conference on computer vision, 3047-3055, 2017 | 396 | 2017 |
| Decoders matter for semantic segmentation: Data-dependent decoding enables flexible feature aggregation Z Tian*, T He*, C Shen, Y Yan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 291 | 2019 |
| Knowledge Adaptation for Efficient Semantic Segmentation T He, C Shen, Z Tian, D Gong, C Sun, Y Yan Proceedings of the IEEE Conference on Compute Vision and Pattern Recognition, 2019 | 274 | 2019 |
| An end-to-end textspotter with explicit alignment and attention T He, Z Tian, W Huang, C Shen, Y Qiao, C Sun Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 272 | 2018 |
| 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 | 157 | 2021 |
| Point Transformer V3: Simpler Faster Stronger X Wu, L Jiang, PS Wang, Z Liu, X Liu, Y Qiao, W Ouyang, T He, H Zhao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 149 | 2024 |
| Dyco3d: Robust instance segmentation of 3d point clouds through dynamic convolution T He, C Shen, A Van Den Hengel Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 129* | 2022 |
| Accurate text localization in natural image with cascaded convolutional text network T He, W Huang, Y Qiao, J Yao arXiv preprint arXiv:1603.09423, 2016 | 110 | 2016 |
| GD-MAE: generative decoder for MAE pre-training on lidar point clouds H Yang, T He*, J Liu, H Chen, B Wu, B Lin, X He, W Ouyang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 71 | 2023 |
| Sam3d: Segment anything in 3d scenes Y Yang, X Wu, T He, H Zhao, X Liu arXiv preprint arXiv:2306.03908, 2023 | 66 | 2023 |
| Hcrf-flow: Scene flow from point clouds with continuous high-order crfs and position-aware flow embedding R Li, G Lin, T He, F Liu, C Shen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 59 | 2021 |
| Ponderv2: Pave the way for 3d foundataion model with a universal pre-training paradigm H Zhu, H Yang, X Wu, D Huang, S Zhang, X He, T He, H Zhao, C Shen, ... arXiv preprint arXiv:2310.08586, 2023 | 54* | 2023 |
| Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers P Gao, L Zhuo, Z Lin, C Liu, J Chen, R Du, E Xie, X Luo, L Qiu, Y Zhang, ... arXiv preprint arXiv:2405.05945, 2024 | 51* | 2024 |
| Learning and memorizing representative prototypes for 3d point cloud semantic and instance segmentation T He, D Gong, Z Tian, C Shen Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 50 | 2020 |
| Exploring the capacity of an orderless box discretization network for multi-orientation scene text detection Y Liu, T He, H Chen, X Wang, C Luo, S Zhang, C Shen, L Jin International Journal of Computer Vision 129, 1972-1992, 2021 | 39* | 2021 |
Chunhua ShenZhejiang University在 zju.edu.cn 的电子邮件经过验证
