Thomas de Lange

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 5 papers; trusts 28 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas de Lange trusts overall

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

  1. Kaiming He
  2. Jorge Bernal
  3. Zhengxin Zhang
  4. Debesh Jha
  5. Diederik P. Kingma
  6. X. Zhang
  7. Olaf Ronneberger
  8. Geoffrey E. Hinton

Who trusts Thomas de Lange overall

  1. Debesh Jha

Papers from Thomas de Lange's perspective

Ordered by how strongly the researchers Thomas de Lange 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Fully convolutional networks for semantic segmentation
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Gradient-based learning applied to document recognition
  8. Going deeper with convolutions
  9. Long Short-Term Memory
  10. ImageNet: A large-scale hierarchical image database

Their papers