Tanveer Fathima Syeda-Mahmood

Computer Vision and Pattern Recognition · 2001–2018

A researcher in the Science corpus: 5 papers; trusts 8 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Tanveer Fathima Syeda-Mahmood trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Trevor Darrell
  4. Christian Szegedy
  5. Ilya Sutskever
  6. Matthew D. Zeiler
  7. Diederik P. Kingma
  8. Yoshua Bengio
  9. Yann LeCun
  10. Quoc V. Le

Who trusts Tanveer Fathima Syeda-Mahmood overall

  1. Daniel Weinland
  2. Hossein Rahmani
  3. Jia-geng Feng
  4. Alper Yilmaz
  5. Mubarak Shah
  6. Yaser Sheikh
  7. Rémi Ronfard
  8. Edmond Boyer
  9. Yuping Shen
  10. Jun Xiao

Papers from Tanveer Fathima Syeda-Mahmood's perspective

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

Their papers