Defeng Wang

Computer Vision and Pattern Recognition · 2012–2016

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it
• Artificial Intelligence — 12 citations into it

Whom Defeng Wang trusts

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

1. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
2. Chih-Jen Lin (in Computer Vision and Pattern Recognition)
3. Jitendra Malik (in Computer Vision and Pattern Recognition)
4. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
5. Kaiming He (in Computer Vision and Pattern Recognition)
6. Serge J. Belongie (in Computer Vision and Pattern Recognition)
7. Shaoqing Ren (in Computer Vision and Pattern Recognition)
8. Ilya Sutskever (in Computer Vision and Pattern Recognition)

Papers from Defeng Wang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Fully convolutional networks for semantic segmentation
3. Improving neural networks by preventing co-adaptation of feature detectors
4. Gradient-based learning applied to document recognition
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Visualizing Data using t-SNE
7. LIBSVM: A library for support vector machines
8. Deep Sparse Rectifier Neural Networks
9. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks (2016) — 621 citations
• A survey of GPU-based medical image computing techniques. (2012) — 86 citations