Kamolrat Silamut

Computer Vision and Pattern Recognition · 2009–2018

A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kamolrat Silamut trusts overall

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

  1. Jennifer Waters

Papers from Kamolrat Silamut's perspective

Ordered by how strongly the researchers Kamolrat Silamut 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. Gradient-based learning applied to document recognition
  3. ImageNet: A large-scale hierarchical image database
  4. Rethinking the Inception Architecture for Computer Vision
  5. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
  6. ImageNet classification with deep convolutional neural networks
  7. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
  8. Long Short-Term Memory
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers