Jiabo Ye

Computer Vision and Pattern Recognition · 2022–2025

A researcher in the Science corpus: 6 papers; trusts 140 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jiabo Ye 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. Yoshua Bengio
  6. Ross B. Girshick
  7. Ilya Sutskever
  8. Yann LeCun
  9. Karen Simonyan
  10. Tsung-Yi Lin

Papers from Jiabo Ye's perspective

Ordered by how strongly the researchers Jiabo 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. 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. 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. ImageNet Large Scale Visual Recognition Challenge
  10. Microsoft COCO: Common Objects in Context

Their papers