P. Gupta

Computer Vision and Pattern Recognition · with Eberhardt · 2017

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom P. Gupta trusts overall

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

  1. Karen Simonyan
  2. Andrew Zisserman
  3. Matthew D. Zeiler

Papers from P. Gupta's perspective

Ordered by how strongly the researchers P. Gupta trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet Large Scale Visual Recognition Challenge
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Microsoft COCO: Common Objects in Context
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Going deeper with convolutions
  10. Visualizing and Understanding Convolutional Networks

Their papers