Y. Qian

Computer Vision and Pattern Recognition · with Cong · 2019

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Y. Qian trusts overall

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

  1. Gong Cheng

Papers from Y. Qian's perspective

Ordered by how strongly the researchers Y. Qian 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. Densely Connected Convolutional Networks
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Going deeper with convolutions
  8. Understanding the difficulty of training deep feedforward neural networks
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers