Xiyong Ye

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 110 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiyong Ye trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Tsung-Yi Lin

Papers from Xiyong Ye's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Microsoft COCO: Common Objects in Context
  5. ImageNet: A large-scale hierarchical image database
  6. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers