Joshua M. Manela

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 94 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Joshua M. Manela trusts overall

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

  1. Heiko Hirschmüller
  2. Engin Tola
  3. Andreas Geiger
  4. Yann LeCun
  5. Vladimir Kolmogorov
  6. Geoffrey E. Hinton
  7. Jure Zbontar
  8. Moritz Menze
  9. Daniel Scharstein
  10. Kaiming He

Who trusts Joshua M. Manela overall

  1. Zachary Teed
  2. Yuchao Dai
  3. Lahav Lipson
  4. Jia Deng
  5. Haofei Xu
  6. Hamid Laga

Papers from Joshua M. Manela's perspective

Ordered by how strongly the researchers Joshua M. Manela 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  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. Going deeper with convolutions

Their papers