Giles Tetteh

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it
• Artificial Intelligence — 14 citations into it

Whom Giles Tetteh trusts overall

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

1. Kaiming He
2. X. Zhang
3. Ross B. Girshick
4. Shaoqing Ren
5. Alex Krizhevsky
6. Geoffrey E. Hinton

Who trusts Giles Tetteh overall

1. Erico Tjoa

Papers from Giles Tetteh's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Going deeper with convolutions
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images (2020) — 372 citations
• Machine learning analysis of whole mouse brain vasculature (2020) — 307 citations
• DeepASL: Kinetic Model Incorporated Loss for Denoising Arterial Spin Labeled MRI via Deep Residual Learning (2018) — 29 citations