Richard Sahala Hartanto

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Richard Sahala Hartanto trusts overall

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

  1. Radu Bogdan Rusu
  2. Sunil Arya
  3. Tomas Simon
  4. Sven Bambach
  5. David M. Mount
  6. Steve B. Cousins
  7. Hanbyul Joo
  8. Stefan Lee

Papers from Richard Sahala Hartanto's perspective

Ordered by how strongly the researchers Richard Sahala Hartanto trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Mask R-CNN
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. ImageNet: A large-scale hierarchical image database
  5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  6. Going deeper with convolutions
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Distinctive Image Features from Scale-Invariant Keypoints
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers