James Patrick Underwood

Computer Vision and Pattern Recognition · 2011–2016

A researcher in the Science corpus: 3 papers; trusts 235 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it; #5,213 of 21,575 by trust here, #13,815 by citations
• Artificial Intelligence — 12 citations into it
• Plant Science — 6 citations into it; #288 of 8,232 by trust here, #3,839 by citations

Whom James Patrick Underwood trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Yoshua Bengio
5. James Martens
6. Kaiming He
7. Yann LeCun
8. Ross B. Girshick
9. Diederik P. Kingma
10. Pedro F. Felzenszwalb

Who trusts James Patrick Underwood overall

1. Andreas Kamilaris
2. Anand Koirala
3. T. T. Santos
4. Maryam Rahnemoonfar
5. Francesc X. Prenafeta-Boldu
6. Horea-Bogdan Muresan
7. Suchet Bargoti
8. Muhammad Hammad Saleem
9. Rongli Gai
10. Bichen Wu

Papers from James Patrick Underwood's perspective

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

Their papers

• Deep fruit detection in orchards (2016) — 501 citations
• Image Segmentation for Fruit Detection and Yield Estimation in Apple Orchards (2016) — 448 citations
• On the segmentation of 3D LIDAR point clouds (2011) — 499 citations