Jake Porway
Computer Vision and Pattern Recognition · 2009
A researcher in the Science corpus: 1 paper; trusts 43 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 18 citations into it; #20,100 of 21,575 by trust here, #18,266 by citations
Whom Jake Porway trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Jake Porway overall
Papers from Jake Porway's perspective
Ordered by how strongly the researchers Jake Porway trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Distinctive Image Features from Scale-Invariant Keypoints
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- A stochastic graph grammar for compositional object representation and recognition (2009) — 140 citations