Matthew D. M. Pawley

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 70 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 — 10 citations into it

Whom Matthew D. M. Pawley trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Christian Szegedy
4. Diederik P. Kingma
5. Sergey Ioffe
6. Shaoqing Ren
7. Alex Krizhevsky
8. Ross B. Girshick
9. Yoshua Bengio
10. L. V. D. van der Maaten

Who trusts Matthew D. M. Pawley overall

1. Cameron Trotter

Papers from Matthew D. M. Pawley's perspective

Ordered by how strongly the researchers Matthew D. M. Pawley 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. ImageNet: A large-scale hierarchical image database
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

• Individual Common Dolphin Identification Via Metric Embedding Learning (2018) — 40 citations
• Computer-assisted recognition of dolphin individuals using dorsal fin pigmentations (2016) — 15 citations