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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
ICCV, 2019
5313*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
11582016
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
4052016
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
3722020
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
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
3462020
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
2562019
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
2452018
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
1042016
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
982021
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
90*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
502021
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
432020
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
342023
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
30*2021
Sam3d: Segment anything in 3d scenes
Y Yang, X Wu, T He, H Zhao, X Liu
arXiv preprint arXiv:2306.03908, 2023
262023
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
222020
Frozen CLIP Model is An Efficient Point Cloud Backbone
X Huang, S Li, W Qu, T He, Y Zuo, W Ouyang
arXiv preprint arXiv:2212.04098, 2022
172022
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
152023
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