Umar Mohammed

Computer Vision and Pattern Recognition · 2008

A researcher in the Science corpus: 1 paper; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Umar Mohammed trusts overall

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

  1. Jitendra Malik
  2. David R. Martin
  3. Greg Mori
  4. Pedro F. Felzenszwalb

Papers from Umar Mohammed's perspective

Ordered by how strongly the researchers Umar Mohammed 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. Normalized cuts and image segmentation
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Going deeper with convolutions
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Learning Multiple Layers of Features from Tiny Images
  10. Long Short-Term Memory

Their papers