Ancong Wu

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 414 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Ancong Wu trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Liang Zheng
  5. Yoshua Bengio
  6. Ross B. Girshick
  7. Yann LeCun
  8. X. Zhang
  9. Ilya Sutskever
  10. Diederik P. Kingma

Who trusts Ancong Wu overall

  1. Mang Ye
  2. Guan'an Wang
  3. Zhun Zhong
  4. Tao Lin
  5. Tianzhu Zhang
  6. Jianbing Shen
  7. Diangang Li
  8. Zhixiang Wang
  9. Xin Jin
  10. Seokeon Choi

Papers from Ancong Wu's perspective

Ordered by how strongly the researchers Ancong Wu 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. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers