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Tong He
Tong He
Shanghai AI Laboratory
Verified email at pjlab.org.cn - Homepage
Title
Cited by
Cited by
Year
Fcos: Fully convolutional one-stage object detection
Z Tian, C Shen, H Chen, T He
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
50822019
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
11442016
Text-Attentional Convolutional Neural Networks for Scene Text Detection
T.He,W.Huang,Y.Qiao,J.Yao
IEEE Trans. Image Processing 25 (6), 2529-2541, 2016
390*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
3632017
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
3492020
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
3302020
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
2602019
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
2422018
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
2362019
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
1072016
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
892021
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 …, 2021
762021
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
482021
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
402020
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
292023
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
29*2021
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
202020
SAM3D: Segment Anything in 3D Scenes
Y Yang, X Wu, T He, H Zhao, X Liu
arXiv preprint arXiv:2306.03908, 2023
172023
Frozen clip model is efficient point cloud backbone
X Huang, S Li, W Qu, T He, Y Zuo, W Ouyang
arXiv preprint arXiv:2212.04098, 2022
162022
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
122023
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