Tahir Habib Nawaz

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Tahir Habib Nawaz trusts overall

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

  1. Iroon Polytechniou
  2. K. Moder
  3. Daniel Scharstein
  4. Dorin Comaniciu
  5. Xue Mei
  6. Richard Szeliski
  7. Simon Baker
  8. Visvanathan Ramesh
  9. Helmut Grabner
  10. Haibin Ling

Who trusts Tahir Habib Nawaz overall

  1. Massimo Minervini
  2. Andreas Fischbach
  3. Hanno Scharr

Papers from Tahir Habib Nawaz's perspective

Ordered by how strongly the researchers Tahir Habib Nawaz 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
  6. Distinctive Image Features from Scale-Invariant Keypoints
  7. Histograms of oriented gradients for human detection
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Long Short-Term Memory

Their papers