V. Bhagavatula

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 125 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom V. Bhagavatula trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Shaoqing Ren
  5. Alex Krizhevsky
  6. Andrew G. Howard
  7. Jia Deng
  8. Peng Tang
  9. Andrew Zisserman
  10. Yoshua Bengio

Papers from V. Bhagavatula's perspective

Ordered by how strongly the researchers V. Bhagavatula trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet: A large-scale hierarchical image database
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Microsoft COCO: Common Objects in Context
  10. Going deeper with convolutions

Their papers