Amir Jamaludin

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 246 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Amir Jamaludin trusts overall

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

  1. Andrea Vedaldi
  2. Andrew Zisserman
  3. Alex Krizhevsky
  4. Joon Son Chung
  5. Karen Simonyan
  6. Geoffrey E. Hinton
  7. Ilya Sutskever
  8. Yoshua Bengio
  9. Diederik P. Kingma
  10. Kaiming He

Who trusts Amir Jamaludin overall

  1. Qiang Zhang
  2. Lele Chen
  3. Christian F. Baumgartner
  4. Amit Kumar Jaiswal
  5. Huy Hoang Le Nguyen
  6. Hang Zhou
  7. Triantafyllos Afouras
  8. Zhimeng Zhang
  9. Konstantinos Vougioukas
  10. Abhir H. Bhalerao

Papers from Amir Jamaludin's perspective

Ordered by how strongly the researchers Amir Jamaludin 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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers