Vikram Gupta

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 54 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Vikram Gupta trusts overall

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

  1. Alex Krizhevsky
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Yoshua Bengio
  6. Ross B. Girshick
  7. Kaiming He
  8. Jimmy Ba
  9. Yann LeCun
  10. Daniel J. Singer

Who trusts Vikram Gupta overall

  1. Jingwei Ji
  2. Anna Kukleva

Papers from Vikram Gupta's perspective

Ordered by how strongly the researchers Vikram 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers