Muhammad Haris

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 478 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

Whom Muhammad Haris trusts overall

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

  1. Kaiming He
  2. Karen Simonyan
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Ross B. Girshick
  6. Andrew Zisserman
  7. Yoshua Bengio
  8. Yann LeCun
  9. X. Zhang
  10. Diederik P. Kingma

Who trusts Muhammad Haris overall

  1. Yulun Zhang
  2. Jinjin Gu
  3. Saeed Anwar
  4. Yong Guo
  5. Chao Dong
  6. Yochai Blau
  7. Jingyun Liang
  8. Kelvin C. K. Chan
  9. Xintao Wang
  10. Radu Timofte

Papers from Muhammad Haris's perspective

Ordered by how strongly the researchers Muhammad Haris 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. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers