Ayush Minocha

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ayush Minocha trusts overall

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

  1. Lubomir D. Bourdev
  2. Yi Yang
  3. Joseph Tighe
  4. Ming Yang
  5. Rakesh Agrawal
  6. Nan Wang
  7. Basela Hasan
  8. Jitendra Malik
  9. Deva Ramanan
  10. Svetlana Lazebnik

Papers from Ayush Minocha's perspective

Ordered by how strongly the researchers Ayush Minocha 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. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Going deeper with convolutions
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers