Rayat Hossain

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 148 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Rayat Hossain trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Xiaowei Zhou
  6. X. Zhang
  7. Yoshua Bengio
  8. Yann LeCun
  9. Ross B. Girshick
  10. Shaoqing Ren

Who trusts Rayat Hossain overall

  1. Georgios Pavlakos
  2. Xiao Sun
  3. Gyeongsik Moon
  4. Jiefeng Li
  5. Nikos Kolotouros
  6. Carl Doersch
  7. Ye Yuan
  8. Mir Rayat Imtiaz Hossain
  9. Angjoo Kanazawa
  10. Donglai Xiang

Papers from Rayat Hossain's perspective

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

Their papers