Erik Conser

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 56 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Erik Conser trusts overall

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

  1. Ross B. Girshick
  2. Philipp Krahenbuhl
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Kaiming He
  6. Diederik P. Kingma
  7. Yoshua Bengio
  8. Oriol Vinyals
  9. Yann LeCun
  10. Ranjay Krishna

Who trusts Erik Conser overall

  1. Oron Ashual

Papers from Erik Conser's perspective

Ordered by how strongly the researchers Erik Conser 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  10. Going deeper with convolutions

Their papers