Elliot Holtham

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it
• Model Architectures — 11 citations into it

Whom Elliot Holtham trusts overall

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

1. Alex Krizhevsky
2. Kaiming He

Papers from Elliot Holtham's perspective

Ordered by how strongly the researchers Elliot Holtham 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. Learning Multiple Layers of Features from Tiny Images
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Densely Connected Convolutional Networks
5. ImageNet classification with deep convolutional neural networks
6. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
7. Mask R-CNN
8. WaveNet: A Generative Model for Raw Audio
9. Wide Residual Networks
10. Gradient-based learning applied to document recognition

Their papers

• Reversible Architectures for Arbitrarily Deep Residual Neural Networks (2017) — 298 citations