Arjun Gupta

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 254 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Arjun Gupta trusts overall

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

  1. Kaiming He
  2. Alex Graves
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Ross B. Girshick
  6. Ilya Sutskever
  7. Yoshua Bengio
  8. Diederik P. Kingma
  9. Yann LeCun
  10. Andrew Zisserman

Who trusts Arjun Gupta overall

  1. Antoni Rosinol
  2. S. Gadre
  3. Yifeng Zhu

Papers from Arjun Gupta's perspective

Ordered by how strongly the researchers Arjun Gupta 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. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  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. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers