Naresh R Shanbhag

Computer Vision and Pattern Recognition · 2001–2019

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Naresh R Shanbhag trusts

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

  1. Yann LeCun (in Computer Vision and Pattern Recognition)

Papers from Naresh R Shanbhag's perspective

Ordered by how strongly the researchers Naresh R Shanbhag 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. Gradient-based learning applied to document recognition
  4. Deep Sparse Rectifier Neural Networks
  5. Long Short-Term Memory
  6. Learning both Weights and Connections for Efficient Neural Network
  7. Going deeper with convolutions
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers