Siddhartha Chaudhuri

Computer Vision and Pattern Recognition · 2010–2018

A researcher in the Science corpus: 9 papers; trusts 732 researchers and is trusted by 115 researchers here, as inferred from the citation graph.

Subfields

Whom Siddhartha Chaudhuri trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. Evangelos Kalogerakis
  5. Yann LeCun
  6. Yoshua Bengio
  7. Ross B. Girshick
  8. Diederik P. Kingma
  9. Antonio Torralba
  10. Kristen Grauman

Who trusts Siddhartha Chaudhuri overall

  1. Evangelos Kalogerakis
  2. Zhirong Wu
  3. I-Chao Shen
  4. Leonidas J. Guibas
  5. Chenyang Zhu
  6. Matthew Fisher
  7. Kai Xu
  8. Vladimir G. Kim
  9. Charlie Nash
  10. Vladlen Koltun

Papers from Siddhartha Chaudhuri's perspective

Ordered by how strongly the researchers Siddhartha Chaudhuri 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. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers