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Jian-Hao Luo
Jian-Hao Luo
Consumer Cloud Service CBG, Huawei
Verified email at lamda.nju.edu.cn - Homepage
Title
Cited by
Cited by
Year
ThiNet: A filter level pruning method for deep neural network compression
JH Luo, J Wu, W Lin
IEEE International Conference on Computer Vision (ICCV), 5058-5066, 2017
21072017
Selective convolutional descriptor aggregation for fine-grained image retrieval
XS Wei, JH Luo, J Wu, ZH Zhou
IEEE transactions on image processing 26 (6), 2868-2881, 2017
4772017
Thinet: pruning cnn filters for a thinner net
JH Luo, H Zhang, HY Zhou, CW Xie, J Wu, W Lin
IEEE transactions on pattern analysis and machine intelligence 41 (10), 2525 …, 2019
2622019
Autopruner: An end-to-end trainable filter pruning method for efficient deep model inference
JH Luo, J Wu
Pattern Recognition 107, 107461, 2020
2172020
An entropy-based pruning method for cnn compression
JH Luo, J Wu
arXiv preprint arXiv:1706.05791, 2017
2172017
Neural network pruning with residual-connections and limited-data
JH Luo, J Wu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
1242020
In defense of fully connected layers in visual representation transfer
CL Zhang, JH Luo, XS Wei, J Wu
Pacific Rim Conference on Multimedia, 807-817, 2017
1042017
基于深度卷积特征的细粒度图像分类研究综述
罗建豪, 吴建鑫
自动化学报 43 (8), 1306-1318, 2017
612017
Resource-constrained deep learning: challenges and practices
JX Wu, BB Gao, XS Wei, JH Luo
Sci Sin Inform 48, 501-510, 2018
62018
Image categorization with resource constraints: introduction, challenges and advances
JH Luo, W Zhou, J Wu
Frontiers of Computer Science 11, 13-26, 2017
32017
Dense CNN learning with equivalent mappings
J Wu, CW Xie, JH Luo
arXiv preprint arXiv:1605.07251, 2016
32016
Learning effective binary visual representations with deep networks
J Wu, JH Luo
arXiv preprint arXiv:1803.03004, 2018
12018
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Articles 1–12