Gita Reese Sukthankar

Computer Vision and Pattern Recognition · 2013–2019

A researcher in the Science corpus: 2 papers; trusts 230 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Gita Reese Sukthankar trusts overall

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

  1. Ross B. Girshick
  2. Christian Szegedy
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Karen Simonyan
  6. Kaiming He
  7. Yann LeCun
  8. Sergey Ioffe
  9. Ilya Sutskever
  10. Andrew Zisserman

Who trusts Gita Reese Sukthankar overall

  1. Sharad Nandanwar
  2. M. Murty

Papers from Gita Reese Sukthankar's perspective

Ordered by how strongly the researchers Gita Reese Sukthankar 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. 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. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers