Xun Wang

Computer Vision and Pattern Recognition · 1 papers · 2018

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xun Wang trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Yoon Kim (in Artificial Intelligence)
  4. Piotr Doll'ar (in Computer Vision and Pattern Recognition)
  5. Rob Fergus (in Computer Vision and Pattern Recognition)
  6. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  7. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  8. Jitendra Malik (in Computer Vision and Pattern Recognition)
  9. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  10. Li Fei-Fei (in Computer Vision and Pattern Recognition)

Papers from Xun Wang's perspective

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

  1. Microsoft COCO: Common Objects in Context
  2. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  3. Efficient Estimation of Word Representations in Vector Space
  4. Densely Connected Convolutional Networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet classification with deep convolutional neural networks
  7. Aggregated Residual Transformations for Deep Neural Networks
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Gradient-based learning applied to document recognition

Their papers