Teesid Leelasawassuk

Computer Vision and Pattern Recognition · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 147 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Teesid Leelasawassuk trusts overall

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

  1. Alireza Fathi
  2. Ivan Laptev
  3. Yin Li
  4. Georg S. W. Klein
  5. Dario D. Salvucci
  6. Navneet Dalal
  7. James M. Rehg
  8. Geoffrey E. Hinton
  9. Xiaofeng Ren
  10. Kaiming He

Who trusts Teesid Leelasawassuk overall

  1. Davide Moltisanti
  2. Dima Damen
  3. Yusuke Sugano
  4. Tushar Nagarajan
  5. Kristen Grauman

Papers from Teesid Leelasawassuk's perspective

Ordered by how strongly the researchers Teesid Leelasawassuk 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers