Lalit P. Jain

Computer Vision and Pattern Recognition · 2014–2015

A researcher in the Science corpus: 3 papers; trusts 186 researchers and is trusted by 55 researchers here, as inferred from the citation graph.

Subfields

Whom Lalit P. Jain trusts overall

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

  1. Walter J. Scheirer
  2. Chih-Jen Lin
  3. J. Platt
  4. Yann LeCun
  5. Geoffrey E. Hinton
  6. Yuhai Wu
  7. Jia Deng
  8. Alex Krizhevsky
  9. Yoshua Bengio
  10. Stuart Coles

Who trusts Lalit P. Jain overall

  1. Geli Fei
  2. Ethan M. Rudd
  3. Terrance E. Boult
  4. Chuanxing Geng
  5. Poojan Oza
  6. B. Liu
  7. Zhen Fang
  8. ZongYuan Ge
  9. Vishal M. Patel
  10. Lawrence Neal

Papers from Lalit P. Jain's perspective

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

Their papers