Philip R. Osteen

Computer Vision and Pattern Recognition · 2020

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 — 20 citations into it
• Artificial Intelligence — 5 citations into it

Whom Philip R. Osteen trusts overall

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

1. Daniel Maturana
2. Yuhui Yuan
3. Mark Everingham
4. Jingdong Wang
5. Towaki Takikawa

Papers from Philip R. Osteen's perspective

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

Their papers

• RELLIS-3D Dataset: Data, Benchmarks and Analysis (2020) — 336 citations