Xiangyu Yue

Computer Vision and Pattern Recognition · IEEE International Conference on Computer Vision · 2017–2023

A researcher in the Science corpus: 13 papers; trusts 968 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Xiangyu Yue trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Ross B. Girshick
  6. Yoshua Bengio
  7. Yann LeCun
  8. Karen Simonyan
  9. Ilya Sutskever
  10. Andrew Zisserman

Who trusts Xiangyu Yue overall

  1. Bichen Wu
  2. Sergey I. Nikolenko
  3. Kaiyang Zhou
  4. Myeongjin Kim
  5. Chenfeng Xu
  6. Jiaxing Huang
  7. Xiaoliang Dai
  8. Jindong Wang
  9. Shujun Wang
  10. Jens Behley

Papers from Xiangyu Yue's perspective

Ordered by how strongly the researchers Xiangyu Yue 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  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