Xin Wang

Computer Vision and Pattern Recognition · 1 papers · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xin Wang trusts overall

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

  1. Leslie N. Smith
  2. Joseph Redmon
  3. Kaiming He
  4. Diederik P. Kingma

Papers from Xin Wang's perspective

Ordered by how strongly the researchers Xin Wang 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. Fully convolutional networks for semantic segmentation
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  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. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Their papers