Kan Wu

Computer Vision and Pattern Recognition · with Fu · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 220 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kan Wu trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Ross B. Girshick
  6. Christian Szegedy
  7. Diederik P. Kingma
  8. Yann LeCun
  9. Jia Deng
  10. Ilya Sutskever

Who trusts Kan Wu overall

  1. Yunhao Zhang
  2. Jiayu Jiao
  3. Xin Lai
  4. Chaoning Zhang
  5. Junchi Yan
  6. Yunyang Xiong

Papers from Kan Wu's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers