David Oxtoby

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 102 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it
• Automotive Engineering — 13 citations into it
• Environmental Engineering — 9 citations into it
• 3D Vision & Pose — 7 citations into it
• Computational Mechanics — 6 citations into it

Whom David Oxtoby trusts overall

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

1. Ross B. Girshick
2. Karen Simonyan
3. Kaiming He
4. Geoffrey E. Hinton
5. Bo Li
6. Alex Krizhevsky
7. Andrew Zisserman
8. Yoshua Bengio
9. Yann LeCun
10. Diederik P. Kingma

Papers from David Oxtoby's perspective

Ordered by how strongly the researchers David Oxtoby 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. ImageNet: A large-scale hierarchical image database
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Survey on 3D Object Detection Methods for Autonomous Driving Applications (2019) — 661 citations