Dinesh Acharya

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 74 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Dinesh Acharya trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Kaiming He
  6. Yann LeCun
  7. Ilya Sutskever
  8. Sergey Ioffe
  9. Christian Szegedy
  10. Ross B. Girshick

Who trusts Dinesh Acharya overall

  1. Masaki Saito
  2. Zhangyang Gao
  3. Shunta Saito
  4. Cheng Tan

Papers from Dinesh Acharya's perspective

Ordered by how strongly the researchers Dinesh Acharya 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet: A large-scale hierarchical image database
  9. GENERATIVE ADVERSARIAL NETS
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers