Sakorn Mekruksavanich

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sakorn Mekruksavanich trusts overall

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

  1. James Franklin
  2. Andrey D. Ignatov
  3. Sepp Hochreiter
  4. Sylvain Arlot
  5. Sreenivasan Ramasamy Ramamurthy
  6. Song-Mi Lee
  7. Yu Zhao
  8. Jindong Wang
  9. J. Urgen Schmidhuber
  10. L. Dang

Papers from Sakorn Mekruksavanich's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet Large Scale Visual Recognition Challenge
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers