Naila Murray

Computer Vision and Pattern Recognition · 2011–2020

A researcher in the Science corpus: 3 papers; trusts 250 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Naila Murray trusts overall

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

  1. David G. Lowe
  2. Florent Perronnin
  3. Ross B. Girshick
  4. Kaiming He
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Jianguo Zhang
  8. Piotr Doll'ar
  9. Yann LeCun
  10. Andrew Zisserman

Who trusts Naila Murray overall

  1. Ming-Ming Cheng
  2. Hossein Talebi
  3. Ali Borji
  4. Luca Marchesotti
  5. Wenguan Wang
  6. Haoning Wu
  7. Jianyi Wang
  8. Chaofeng Chen
  9. Tam V. Nguyen
  10. Wenhan Yang

Papers from Naila Murray's perspective

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

Their papers