Aseem Agarwala

Computer Vision and Pattern Recognition · 2002–2017

A researcher in the Science corpus: 9 papers; trusts 279 researchers and is trusted by 475 researchers here, as inferred from the citation graph.

Subfields

Whom Aseem Agarwala trusts overall

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

  1. Vladimir Kolmogorov
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Yuri Boykov
  6. Yann LeCun
  7. Ilya Sutskever
  8. Karen Simonyan
  9. Diederik P. Kingma
  10. Kaiming He

Who trusts Aseem Agarwala overall

  1. Richard Szeliski
  2. Kaiming He
  3. Xue Bai
  4. Jue Wang
  5. Johannes Peter Kopf
  6. Dani Lischinski
  7. Fan Zhang
  8. Michael F. Cohen
  9. Vladimir Kolmogorov
  10. Codruta Orniana Ancuti

Papers from Aseem Agarwala's perspective

Ordered by how strongly the researchers Aseem Agarwala 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers