Apurva Gala

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 195 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Apurva Gala trusts overall

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

  1. David G. Lowe
  2. Pedro F. Felzenszwalb
  3. Douglas T. Gray
  4. Mykhaylo Andriluka
  5. William Robson Schwartz
  6. Omar Javed
  7. Bastian Leibe
  8. Bingpeng Ma
  9. Geoffrey E. Hinton
  10. Bernt Schiele

Who trusts Apurva Gala overall

  1. Seong Joon Oh
  2. Liang Zheng
  3. Mario Fritz
  4. Rodrigo Benenson
  5. Bernt Schiele

Papers from Apurva Gala's perspective

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

Their papers