Arush Agarwal

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Arush Agarwal trusts overall

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

  1. Sara Beery
  2. Kaiming He
  3. Tsung-Yi Lin

Who trusts Arush Agarwal overall

  1. Mitchell Wortsman

Papers from Arush Agarwal's perspective

Ordered by how strongly the researchers Arush Agarwal 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. Microsoft COCO: Common Objects in Context
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. ImageNet Large Scale Visual Recognition Challenge
  6. Going deeper with convolutions
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers