M. Islam

Computer Vision and Pattern Recognition · IEEE Robotics and Automation Letters · 2018–2020

A researcher in the Science corpus: 5 papers; trusts 642 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom M. Islam trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Sergey Ioffe
  5. Christian Szegedy
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Yoshua Bengio
  9. Ross B. Girshick
  10. Jimmy Ba

Who trusts M. Islam overall

  1. Runmin Cong
  2. Junaed Sattar
  3. Jungseok Hong
  4. Peigen Luo
  5. Lintao Peng
  6. Albert Y. Kim
  7. Peixian Zhuang
  8. Weidong Zhang
  9. Wenyu Yang
  10. Chelsey Edge

Papers from M. Islam's perspective

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

Their papers