Haoxin Chen

Computer Vision and Pattern Recognition · 2023–2024

A researcher in the Science corpus: 4 papers; trusts 250 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Haoxin Chen trusts overall

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

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

Who trusts Haoxin Chen overall

  1. Kepan Nan
  2. Shiwei Zhang
  3. Rui Xie
  4. Jinbo Xing
  5. Liucheng Hu
  6. Yong Zhang

Papers from Haoxin Chen's perspective

Ordered by how strongly the researchers Haoxin Chen 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. GENERATIVE ADVERSARIAL NETS

Their papers