Christopher Wang

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Christopher Wang trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  3. Karen Simonyan (in Computer Vision and Pattern Recognition)
  4. Kaiming He (in Computer Vision and Pattern Recognition)
  5. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  6. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  7. Ilya Sutskever (in Computer Vision and Pattern Recognition)
  8. X. Zhang (in Computer Vision and Pattern Recognition)
  9. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  10. Alexei A. Efros (in Computer Vision and Pattern Recognition)

Who trusts Christopher Wang

  1. Ali Borji (in Computer Vision and Pattern Recognition)

Papers from Christopher Wang's perspective

Ordered by how strongly the researchers Christopher 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. ImageNet Large Scale Visual Recognition Challenge
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Microsoft COCO: Common Objects in Context
  6. Unbiased look at dataset bias
  7. Gradient-based learning applied to document recognition
  8. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers