Kyle Genova

Computer Vision and Pattern Recognition · 2017–2022

A researcher in the Science corpus: 9 papers; trusts 807 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Kyle Genova trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Ross B. Girshick
  6. Karen Simonyan
  7. Yoshua Bengio
  8. Yann LeCun
  9. Andrew Zisserman
  10. Jitendra Malik

Who trusts Kyle Genova overall

  1. Michael Niemeyer
  2. Songyou Peng
  3. Andreas Geiger
  4. Michael Oechsle
  5. Matthew Tancik
  6. Lars M. Mescheder
  7. Stephen Lombardi
  8. Shichen Liu
  9. Mike Roberts
  10. Ben Mildenhall

Papers from Kyle Genova's perspective

Ordered by how strongly the researchers Kyle Genova 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers