Luca Weihs

Computer Vision and Pattern Recognition · 2016–2024

A researcher in the Science corpus: 14 papers; trusts 701 researchers and is trusted by 106 researchers here, as inferred from the citation graph.

Subfields

Whom Luca Weihs 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. Yann LeCun
  7. Ross B. Girshick
  8. Ilya Sutskever
  9. Sepp Hochreiter
  10. J. Urgen Schmidhuber

Who trusts Luca Weihs overall

  1. S. Gadre
  2. Matt Deitke
  3. Sourav Chatterjee
  4. Hongjian Shi
  5. Kiana Ehsani
  6. Roozbeh Mottaghi
  7. Thomas B. Berrett
  8. Mathias Drton
  9. Mitchell Wortsman
  10. Tushar Nagarajan

Papers from Luca Weihs's perspective

Ordered by how strongly the researchers Luca Weihs 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers