Mohammadsajad Abavisani

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 188 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mohammadsajad Abavisani trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Yoshua Bengio
  5. Yann LeCun
  6. Ilya Sutskever
  7. Ross B. Girshick
  8. Christian Szegedy
  9. Gao Huang
  10. Karen Simonyan

Papers from Mohammadsajad Abavisani's perspective

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

Their papers