Jian-Hao Luo

According to our database, Jian-Hao Luo authored at least 11 papers between 2016 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

AutoPruner: An end-to-end trainable filter pruning method for efficient deep model inference.

Jian-Hao Luo, Jianxin Wu

Pattern Recognit., 2020

Neural Network Pruning With Residual-Connections and Limited-Data.

Jian-Hao Luo, Jianxin Wu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Fast SRC using quadratic optimisation in downsized coefficient solution subspace.

Xiaoning Song, Guosheng Hu, Jian-Hao Luo, Zhen-Hua Feng, Dong-Jun Yu, Xiao-Jun Wu

Signal Process., 2019

ThiNet: Pruning CNN Filters for a Thinner Net.

Jian-Hao Luo, Hao Zhang, Hong-Yu Zhou, Chen-Wei Xie, Jianxin Wu, Weiyao Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2019

2018

Learning Effective Binary Visual Representations with Deep Networks.

Jianxin Wu, Jian-Hao Luo

CoRR, 2018

2017

Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval.

Xiu-Shen Wei, Jian-Hao Luo, Jianxin Wu, Zhi-Hua Zhou

IEEE Trans. Image Process., 2017

Image categorization with resource constraints: introduction, challenges and advances.

Jian-Hao Luo, Wang Zhou, Jianxin Wu

Frontiers Comput. Sci., 2017

An Entropy-based Pruning Method for CNN Compression.

Jian-Hao Luo, Jianxin Wu

CoRR, 2017

In Defense of Fully Connected Layers in Visual Representation Transfer.

Chen-Lin Zhang, Jian-Hao Luo, Xiu-Shen Wei, Jianxin Wu

Proceedings of the Advances in Multimedia Information Processing - PCM 2017, 2017

ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression.

Jian-Hao Luo, Jianxin Wu, Weiyao Lin

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Dense CNN Learning with Equivalent Mappings.

Jianxin Wu, Chen-Wei Xie, Jian-Hao Luo

CoRR, 2016