Sarat Rallapalli

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sarat Rallapalli trusts overall

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

  1. Jacob Eisenstein
  2. James Hays
  3. Kristen Grauman

Who trusts Sarat Rallapalli overall

  1. Bo Han

Papers from Sarat Rallapalli's perspective

Ordered by how strongly the researchers Sarat Rallapalli 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. IM2GPS: estimating geographic information from a single image

Their papers