Junaed Sattar

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 8 papers; trusts 847 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Junaed Sattar trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Alex Krizhevsky
  6. Christian Szegedy
  7. Yann LeCun
  8. Sergey Ioffe
  9. Yoshua Bengio
  10. Karen Simonyan

Who trusts Junaed Sattar overall

  1. M. Islam
  2. Jungseok Hong
  3. Michael Fulton
  4. Peixian Zhuang
  5. Runmin Cong
  6. Peigen Luo
  7. Lintao Peng

Papers from Junaed Sattar's perspective

Ordered by how strongly the researchers Junaed Sattar 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers