Nigamaa Nayakanti

Computer Vision and Pattern Recognition · 2021–2025

A researcher in the Science corpus: 3 papers; trusts 45 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nigamaa Nayakanti trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Yann LeCun
  8. Ross B. Girshick
  9. Ilya Loshchilov
  10. Radford M. Neal

Who trusts Nigamaa Nayakanti overall

  1. Zikang Zhou
  2. Ajay Kumar Sridhar
  3. Jianping Wang

Papers from Nigamaa Nayakanti's perspective

Ordered by how strongly the researchers Nigamaa Nayakanti 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  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