Anush K. Moorthy

Computer Vision and Pattern Recognition · 2009–2013

A researcher in the Science corpus: 8 papers; trusts 60 researchers and is trusted by 341 researchers here, as inferred from the citation graph.

Subfields

Whom Anush K. Moorthy trusts overall

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

  1. Hamid R. Sheikh
  2. A. Bovik
  3. Zhou Wang
  4. Eero P. Simoncelli
  5. Vladimir Naumovich Vapni
  6. Chih-Jen Lin
  7. Bernhard Schölkopf
  8. Kalpana Seshadrinathan
  9. Akansha Srivastava
  10. Salvador Gabarda

Who trusts Anush K. Moorthy overall

  1. A. Bovik
  2. Kede Ma
  3. Ke Gu
  4. Anish Mittal
  5. Wufeng Xue
  6. Jongyoo Kim
  7. Deepti Ghadiyaram
  8. Lei Zhang
  9. Guangtao Zhai
  10. Zhou Wang

Papers from Anush K. Moorthy's perspective

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

Their papers