Angshuman Parashar

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Angshuman Parashar trusts overall

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

  1. Yu-hsin Chen
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Karen Simonyan
  5. Ilya Sutskever
  6. Song Han
  7. Kaiming He
  8. Alex Graves
  9. Christian Szegedy
  10. Andrew Zisserman

Who trusts Angshuman Parashar overall

  1. Hyoukjun Kwon
  2. Michael Zhu
  3. Yihui He
  4. Yakun Sophia Shao
  5. Haichuan Yang
  6. Song Han
  7. Udit Gupta
  8. Md Maruf Hossain Shuvo
  9. By Lei Deng
  10. Animesh Jain

Papers from Angshuman Parashar's perspective

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

Their papers