Vedhus Hoskere

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 196 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Vedhus Hoskere trusts overall

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

  1. Kaiming He
  2. Radford M. Neal
  3. Young-Jin Cha
  4. Ross B. Girshick
  5. Geoffrey E. Hinton
  6. Yann LeCun
  7. Shaoqing Ren
  8. Alex Krizhevsky
  9. Richard Szeliski
  10. Yoshua Bengio

Who trusts Vedhus Hoskere overall

  1. Yuequan Bao
  2. Mohsen Azimi

Papers from Vedhus Hoskere's perspective

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

Their papers