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Wenhao Tang
Wenhao Tang
Doctor of Computer Science, Nankai University
在 mail.nankai.edu.cn 的电子邮件经过验证
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An iteratively optimized patch label inference network for automatic pavement distress detection
W Tang, S Huang, Q Zhao, R Li, L Huangfu
IEEE Transactions on Intelligent Transportation Systems 23 (7), 8652-8661, 2021
362021
Multiple instance learning framework with masked hard instance mining for whole slide image classification
W Tang, S Huang, X Zhang, F Zhou, Y Zhang, B Liu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
352023
Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology
W Tang, F Zhou, S Huang, X Zhu, Y Zhang, B Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
72024
Weakly supervised patch label inference networks for efficient pavement distress detection and recognition in the wild
S Huang, W Tang, G Huang, L Huangfu, D Yang
IEEE Transactions on Intelligent Transportation Systems 24 (5), 5216-5228, 2023
62023
PicT: A Slim Weakly Supervised Vision Transformer for Pavement Distress Classification
W Tang, S Huang, X Zhang, L Huangfu
Proceedings of the 30th ACM International Conference on Multimedia, 3076-3084, 2022
22022
Efficient pavement distress classification via deep patch soft selective learning and knowledge distillation
S Zhang, W Tang, J Wang, S Huang
Electronics Letters 58 (18), 693-695, 2022
22022
Deformable Kernel Expansion Model for Efficient Arbitrary-shaped Scene Text Detection
T He, S Huang, W Tang, B Liu
arXiv preprint arXiv:2303.15737, 2023
12023
SAM-MIL: A Spatial Contextual Aware Multiple Instance Learning Approach for Whole Slide Image Classification
H Fang, S Huang, W Tang, L Huangfu, B Liu
arXiv preprint arXiv:2407.17689, 2024
2024
Anchor-based discriminative dual distribution calibration for transductive zero-shot learning
Y Zhang, S Huang, W Yang, W Tang, X Zhang, D Yang
Image and Vision Computing 137, 104772, 2023
2023
Towards glimpsing optimizer in deep learning: from SGD to Lookahead to the future
W Tang
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