Cheng Chen

Computer Vision and Pattern Recognition · with Li · 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 Cheng Chen trusts

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

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

Papers from Cheng Chen's perspective

Ordered by how strongly the researchers Cheng Chen 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. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
6. Understanding the difficulty of training deep feedforward neural networks
7. Fully convolutional networks for semantic segmentation
8. Deep Learning
9. Improving neural networks by preventing co-adaptation of feature detectors
10. LIBSVM: A library for support vector machines

Their papers

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