Yitian Zhao

Computer Vision and Pattern Recognition · with Liu · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yitian Zhao trusts overall

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

  1. Huan Fu
  2. Federico Perazzi
  3. Kaiming He
  4. Radhakrishna Achanta
  5. Jun Cheng
  6. Alex Krizhevsky
  7. Philipp Krahenbuhl
  8. Geoffrey E. Hinton
  9. Ross B. Girshick
  10. Zhuowen Tu

Papers from Yitian Zhao's perspective

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

Their papers