Tsz-Ho Yu

Computer Vision and Pattern Recognition · 2010–2013

A researcher in the Science corpus: 3 papers; trusts 365 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Tsz-Ho Yu trusts overall

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

  1. Jamie Shotton
  2. Michael S. Ryoo
  3. Edward Rosten
  4. Ivan Laptev
  5. David G. Lowe
  6. Kristen Grauman
  7. Geoffrey E. Hinton
  8. Kaiming He
  9. Alex Krizhevsky
  10. Piotr Doll'ar

Who trusts Tsz-Ho Yu overall

  1. Guillermo Garcia-Hernando
  2. Tae-Kyun Kim
  3. Michael S. Ryoo
  4. Vadim Kantorov
  5. Yin-Dong Zheng
  6. Seungryul Baek
  7. Zhiyuan Shi
  8. Ivan Laptev
  9. Markus Oberweger
  10. Danhang Tang

Papers from Tsz-Ho Yu's perspective

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

Their papers