Joshua Qiang Li

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it

Whom Joshua Qiang Li trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Chih-Jen Lin (in Computer Vision and Pattern Recognition)

Papers from Joshua Qiang Li's perspective

Ordered by how strongly the researchers Joshua Qiang Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Going deeper with convolutions
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Understanding the difficulty of training deep feedforward neural networks
6. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
7. Improving neural networks by preventing co-adaptation of feature detectors
8. Fully convolutional networks for semantic segmentation
9. Deep Learning
10. Visualizing and Understanding Convolutional Networks

Their papers

• Automated Pixel‐Level Pavement Crack Detection on 3D Asphalt Surfaces Using a Deep‐Learning Network (2017) — 900 citations