Lucas Tabelini

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 2 papers; trusts 62 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lucas Tabelini trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. X. Zhang
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Shaoqing Ren
  7. Jia Deng
  8. Xiang-Yang Li
  9. Yann LeCun
  10. Yoshua Bengio

Who trusts Lucas Tabelini overall

  1. Tu Zheng
  2. Lizhe Liu
  3. Ruijin Liu
  4. Bencheng Liao
  5. Yifei Huang
  6. Yang Liu

Papers from Lucas Tabelini's perspective

Ordered by how strongly the researchers Lucas Tabelini 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers