Sujoy Paul

Computer Vision and Pattern Recognition · 2018–2022

A researcher in the Science corpus: 3 papers; trusts 435 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Sujoy Paul trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Kaiming He
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. L. Eon Bottou
  7. Andrew Zisserman
  8. Ross B. Girshick
  9. Yann LeCun
  10. Karen Simonyan

Who trusts Sujoy Paul overall

  1. Davide Moltisanti
  2. Daochang Liu
  3. Phuc Xuan Nguyen
  4. Hazel Doughty
  5. Peng Wu
  6. Xiaolong Liu
  7. Dima Damen
  8. Sanja Fidler
  9. Deva Ramanan
  10. Tingting Jiang

Papers from Sujoy Paul's perspective

Ordered by how strongly the researchers Sujoy Paul 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. Learning Multiple Layers of Features from Tiny Images

Their papers