FCOS: Fully Convolutional One-Stage Object Detection Z Tian, C Shen, H Chen, T He ICCV, 2019 | 5835* | 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 | 1205 | 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 | 450 | 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 | 413 | 2016 |
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 | 381 | 2020 |
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 | 381 | 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 | 276 | 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 | 255 | 2018 |
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 | 245 | 2019 |
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 | 122 | 2021 |
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 | 106 | 2016 |
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 | 105* | 2022 |
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 | 49 | 2021 |
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 | 46 | 2020 |
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 | 44 | 2023 |
Sam3d: Segment anything in 3d scenes Y Yang, X Wu, T He, H Zhao, X Liu arXiv preprint arXiv:2306.03908, 2023 | 39 | 2023 |
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 | 33* | 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 | 27 | 2024 |
Instance-aware embedding for point cloud instance segmentation T He, Y Liu, C Shen, X Wang, C Sun Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 23 | 2020 |
Ponder: Point cloud pre-training via neural rendering D Huang, S Peng, T He*, H Yang, X Zhou, W Ouyang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 22 | 2023 |