Xianye Ben

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xianye Ben trusts overall

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

  1. Wen-Jing Yan
  2. Xiaobai Li
  3. Chih-Jen Lin
  4. Kaiming He
  5. Paul Ekman
  6. Tomas Pfister
  7. David Cristinacce
  8. Shaoqing Ren
  9. Yong-jin Liu
  10. Senya Polikovsky

Papers from Xianye Ben's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Gradient-based learning applied to document recognition
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers