Vincent C. T. Mok

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it
• Artificial Intelligence — 8 citations into it

Whom Vincent C. T. Mok 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)

Papers from Vincent C. T. Mok's perspective

Ordered by how strongly the researchers Vincent C. T. Mok 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. Visualizing Data using t-SNE
5. LIBSVM: A library for support vector machines
6. Deep Sparse Rectifier Neural Networks
7. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
8. Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images
9. Neural Networks and the Bias/Variance Dilemma
10. Toward automatic phenotyping of developing embryos from videos

Their papers

• Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks (2016) — 621 citations