Minlong Lu

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 2 papers; trusts 118 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Minlong Lu trusts overall

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

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

Papers from Minlong Lu's perspective

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

Their papers