Akrit Mohapatra

Computer Vision and Pattern Recognition · 2015–2017

A researcher in the Science corpus: 4 papers; trusts 204 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Akrit Mohapatra trusts overall

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

  1. Geoffrey E. Hinton
  2. Karen Simonyan
  3. Alex Krizhevsky
  4. Ilya Sutskever
  5. Yoshua Bengio
  6. Jia Deng
  7. Christian Szegedy
  8. Kaiming He
  9. Diederik P. Kingma
  10. Jason Aaron Edward Weston

Who trusts Akrit Mohapatra overall

  1. Quanshi Zhang
  2. Nazneen Fatema Rajani and Raymond J. Mooney
  3. Shane T. Mueller
  4. Song-Chun Zhu
  5. Drew A. Hudson
  6. Robert R. Hoffman

Papers from Akrit Mohapatra's perspective

Ordered by how strongly the researchers Akrit Mohapatra 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers