Prasanth Chatarasi

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Prasanth Chatarasi trusts overall

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

  1. Yu-hsin Chen
  2. Kaiming He
  3. Jason Cong
  4. Angshuman Parashar
  5. Ross B. Girshick
  6. Karen Simonyan
  7. Alex Krizhevsky
  8. Olaf Ronneberger
  9. Geoffrey E. Hinton
  10. X. Zhang

Papers from Prasanth Chatarasi's perspective

Ordered by how strongly the researchers Prasanth Chatarasi 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Going deeper with convolutions
  6. Long Short-Term Memory
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers