Mihir Sahasrabudhe

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 162 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mihir Sahasrabudhe 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. Karen Simonyan
  6. Yoshua Bengio
  7. Yann LeCun
  8. Ross B. Girshick
  9. Andrew Zisserman
  10. Ilya Sutskever

Who trusts Mihir Sahasrabudhe overall

  1. Shangzhe Wu
  2. Christian Rupprecht
  3. Yuheng Li
  4. Xiang Wang

Papers from Mihir Sahasrabudhe's perspective

Ordered by how strongly the researchers Mihir Sahasrabudhe 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers