Gaurav Parmar

Computer Vision and Pattern Recognition · 2020–2023

A researcher in the Science corpus: 5 papers; trusts 765 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Gaurav Parmar trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Kaiming He
  5. Yoshua Bengio
  6. Tero Karras
  7. Yann LeCun
  8. Karen Simonyan
  9. Ilya Sutskever
  10. Christian Szegedy

Who trusts Gaurav Parmar overall

  1. Thomas Liao
  2. Dongjun Kim
  3. William S. Peebles
  4. Robin Rombach
  5. Omer Bar-Tal
  6. Zhisheng Xiao
  7. Tianwei Yin
  8. Shanchuan Lin
  9. Nan Liu
  10. Shilin Lu

Papers from Gaurav Parmar's perspective

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

Their papers