Utkarsh Sinha

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 90 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Utkarsh Sinha trusts overall

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

  1. Diederik P. Kingma
  2. Vincent Sitzmann
  3. Justus Thies
  4. Michael Zollhöfer
  5. Geoffrey E. Hinton
  6. Jonathan T. Barron
  7. Alex Krizhevsky
  8. Kaiming He
  9. Lars M. Mescheder
  10. Yoshua Bengio

Who trusts Utkarsh Sinha overall

  1. Yufeng Zheng
  2. Jiemin Fang
  3. Qiangeng Xu

Papers from Utkarsh Sinha's perspective

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

Their papers