Corey Snyder

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Corey Snyder trusts overall

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

  1. Kaiming He
  2. Shaoqing Ren
  3. Ryan A. Rossi
  4. Ting Yu
  5. Shanghang Zhang
  6. Ross B. Girshick
  7. X. Zhang
  8. Ricardo Guerrero-Gómez-Olmedo
  9. Nesreen K. Ahmed
  10. Alex Krizhevsky

Who trusts Corey Snyder overall

  1. Alexander Kirillov
  2. Eric Mintun

Papers from Corey Snyder's perspective

Ordered by how strongly the researchers Corey Snyder 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers