Sen Xing

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 211 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sen Xing trusts overall

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

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

Papers from Sen Xing's perspective

Ordered by how strongly the researchers Sen Xing 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. ImageNet: A large-scale hierarchical image database
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. Microsoft COCO: Common Objects in Context
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers