Tarik K. Alkasab

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tarik K. Alkasab trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Karen Simonyan (in Computer Vision and Pattern Recognition)
  3. Rob Fergus (in Computer Vision and Pattern Recognition)

Papers from Tarik K. Alkasab's perspective

Ordered by how strongly the researchers Tarik K. Alkasab 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. Gradient-based learning applied to document recognition
  3. Going deeper with convolutions
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Visualizing and Understanding Convolutional Networks
  7. Deep Learning
  8. ImageNet classification with deep convolutional neural networks
  9. Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
  10. The mnist database of handwritten digits

Their papers