Kevin P. Heaslip

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it

Whom Kevin P. Heaslip trusts overall

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

1. Alex Krizhevsky
2. Leo Breiman
3. Jerome H. Friedman
4. Diederik P. Kingma
5. Geoffrey E. Hinton
6. Yoon Kim
7. Karen Simonyan
8. Yu Zheng
9. Yoshua Bengio
10. Xavier Glorot

Papers from Kevin P. Heaslip's perspective

Ordered by how strongly the researchers Kevin P. Heaslip 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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Dropout: a simple way to prevent neural networks from overfitting

Their papers

• Inferring transportation modes from GPS trajectories using a convolutional neural network (2018) — 371 citations