Sameer Agarwal

Computer Vision and Pattern Recognition · 2006–2016

A researcher in the Science corpus: 7 papers; trusts 23 researchers and is trusted by 206 researchers here, as inferred from the citation graph.

Subfields

Whom Sameer Agarwal trusts overall

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

  1. Y. Saad
  2. David G. Lowe
  3. L. Čížková
  4. Mikhail Belkin
  5. Andrew Y. Ng
  6. Matei A. Zaharia
  7. Manolis I. A. Lourakis
  8. Kazushige Goto
  9. David Nistér
  10. Richard Szeliski

Who trusts Sameer Agarwal overall

  1. Changchang Wu
  2. Noah Snavely
  3. Chengzhou Tang
  4. Johannes L. Schönberger
  5. Sanjay Krishnan
  6. Filip Radenovic
  7. Arno Knapitsch
  8. Onur Özyesil
  9. Torsten Sattler
  10. Yunpeng Li

Papers from Sameer Agarwal's perspective

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

Their papers