Ganesh Sistu

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 5 papers; trusts 428 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ganesh Sistu trusts overall

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

  1. Kaiming He
  2. Shaoqing Ren
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Ross B. Girshick
  6. Diederik P. Kingma
  7. Karen Simonyan
  8. Jia Deng
  9. Iasonas Kokkinos
  10. Evan Shelhamer

Papers from Ganesh Sistu's perspective

Ordered by how strongly the researchers Ganesh Sistu 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. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers