Subarna Tripathi

Computer Vision and Pattern Recognition · 2017–2022

A researcher in the Science corpus: 3 papers; trusts 411 researchers and is trusted by 47 researchers here, as inferred from the citation graph.

Subfields

Whom Subarna Tripathi trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Alex Graves
  6. Ilya Sutskever
  7. Yoshua Bengio
  8. Ross B. Girshick
  9. Yann LeCun
  10. Andrew Zisserman

Who trusts Subarna Tripathi overall

  1. Yuval Alaluf
  2. Yotam Nitzan
  3. Jiapeng Zhu
  4. Omer Tov
  5. Michael Albright
  6. Mathijs Pieters
  7. Amit H. Bermano
  8. Daniel Cohen-Or
  9. Deli Zhao
  10. Jinjin Gu

Papers from Subarna Tripathi's perspective

Ordered by how strongly the researchers Subarna Tripathi 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers