Dirmanto Jap

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dirmanto Jap trusts overall

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

  1. Vinod Nair
  2. Kaiming He
  3. Geoffrey E. Hinton

Papers from Dirmanto Jap's perspective

Ordered by how strongly the researchers Dirmanto Jap 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. Rectified Linear Units Improve Restricted Boltzmann Machines
  4. Gradient-based learning applied to document recognition
  5. Deep Learning
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers