Muhammad Muneeb Ullah

Computer Vision and Pattern Recognition · 2009

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 256 researchers here, as inferred from the citation graph.

Subfields

Whom Muhammad Muneeb Ullah trusts overall

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

  1. Marcin Marszalek
  2. Cordelia Schmid
  3. Ivan Laptev
  4. Rob Fergus
  5. Svetlana Lazebnik
  6. David G. Lowe
  7. Christian Schüldt
  8. Alexander Kläser
  9. Andrew Zisserman
  10. Pietro Perona

Who trusts Muhammad Muneeb Ullah overall

  1. Kristen Grauman
  2. Hilde Kuehne
  3. Hamed Pirsiavash
  4. Yui Man Lui
  5. Quoc V. Le
  6. Yansong Tang
  7. Limin Wang
  8. Deva Ramanan
  9. Alexandros Iosifidis
  10. Yu Kong

Papers from Muhammad Muneeb Ullah's perspective

Ordered by how strongly the researchers Muhammad Muneeb Ullah 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. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers