Zia ur Rehman

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zia ur Rehman trusts

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

  1. David G. Lowe (in Computer Vision and Pattern Recognition)
  2. François Chollet (in Computer Vision and Pattern Recognition)
  3. Andrew P. Bradley (in Evaluation & Benchmarks)
  4. Timothy Dozat (in Optimization & Training)

Papers from Zia ur Rehman's perspective

Ordered by how strongly the researchers Zia ur Rehman 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. Histograms of oriented gradients for human detection
  3. Rethinking the Inception Architecture for Computer Vision
  4. Densely Connected Convolutional Networks
  5. Object recognition from local scale-invariant features
  6. Xception: Deep Learning with Depthwise Separable Convolutions
  7. How transferable are features in deep neural networks?
  8. Face Description with Local Binary Patterns: Application to Face Recognition
  9. The use of the area under the ROC curve in the evaluation of machine learning algorithms
  10. Deep image mining for diabetic retinopathy screening

Their papers