Shahera Hossain

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Shahera Hossain trusts overall

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

  1. Manik Varma
  2. Andrew Zisserman
  3. Jianguo Zhang

Who trusts Shahera Hossain overall

  1. Francesco Bianconi
  2. Antonio Fernández
  3. Anne Humeau-Heurtier

Papers from Shahera Hossain's perspective

Ordered by how strongly the researchers Shahera Hossain 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. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Learning Multiple Layers of Features from Tiny Images
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers