Mustafa Mukadam

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 4 papers; trusts 29 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Mustafa Mukadam trusts overall

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

  1. Steven M. LaValle
  2. John Schulman
  3. Ronald J. Williams
  4. Olivier Sigaud
  5. Nathan D. Ratliff
  6. Frank Dellaert
  7. Jan Peters
  8. Geoffrey E. Hinton
  9. Sergey Levine
  10. Lydia E. Kavraki

Who trusts Mustafa Mukadam overall

  1. Mohak Bhardwaj
  2. Muhammad Asif Rana
  3. Byron Boots
  4. Seyed Reza Ahmadzadeh

Papers from Mustafa Mukadam's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. GENERATIVE ADVERSARIAL NETS
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers