Ahmed Taha

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ahmed Taha trusts overall

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

  1. Jaeyong Sung
  2. Hema Swetha Koppula
  3. Ashutosh Saxena
  4. Raj Kumar Gupta
  5. Colin Ponce
  6. Bart Selman
  7. Ronald Poppe
  8. Rudhir Gupta
  9. Alex Yong Sang Chia

Who trusts Ahmed Taha overall

  1. Luiza Mici
  2. German Ignacio Parisi

Papers from Ahmed Taha's perspective

Ordered by how strongly the researchers Ahmed Taha trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Unstructured human activity detection from RGBD images
  2. Histograms of oriented gradients for human detection
  3. ImageNet classification with deep convolutional neural networks
  4. Human Activity Detection from RGBD Images
  5. Learning Spatio-Temporal Structure from RGB-D Videos for Human Activity Detection and Anticipation
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Learning human activities and object affordances from RGB-D videos
  8. A survey on vision-based human action recognition
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers