Qinghao Ye

Computer Vision and Pattern Recognition · with Xu · 2022–2023

A researcher in the Science corpus: 3 papers; trusts 137 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qinghao Ye trusts overall

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

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

Who trusts Qinghao Ye overall

  1. Zhang Li
  2. Haoning Wu
  3. Jiasen Lu
  4. Lin Chen
  5. Hang Zhang
  6. Haiyang Xu
  7. Jiabo Ye
  8. Zechen Bai
  9. Deyao Zhu
  10. Yuliang Liu

Papers from Qinghao Ye's perspective

Ordered by how strongly the researchers Qinghao Ye 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers