C. Royston

Computer Vision and Pattern Recognition · 2020

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 — 7 citations into it

Whom C. Royston trusts

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

1. Kaiming He (in Computer Vision and Pattern Recognition)

Papers from C. Royston's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Fully convolutional networks for semantic segmentation
3. Rethinking the Inception Architecture for Computer Vision
4. Aggregated Residual Transformations for Deep Neural Networks
5. Instance-Aware Semantic Segmentation via Multi-task Network Cascades
6. Mask R-CNN
7. Deep Learning
8. ImageNet classification with deep convolutional neural networks
9. Gradient-based learning applied to document recognition
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Automated Measurements of Key Morphological Features of Human Embryos for IVF (2020) — 43 citations