Willi Menapace

Computer Vision and Pattern Recognition · 2020–2024

A researcher in the Science corpus: 2 papers; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Willi Menapace 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. Karen Simonyan
  7. Ilya Sutskever
  8. Yann LeCun
  9. Ross B. Girshick
  10. Andrew Zisserman

Papers from Willi Menapace's perspective

Ordered by how strongly the researchers Willi Menapace 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. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers