Xin Ma

Computer Vision and Pattern Recognition · with Wang · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 119 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xin Ma trusts overall

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

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

Who trusts Xin Ma overall

  1. Kepan Nan
  2. Ziqi Huang

Papers from Xin Ma's perspective

Ordered by how strongly the researchers Xin Ma 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers