Lukás Neumann

Computer Vision and Pattern Recognition · 2010–2019

A researcher in the Science corpus: 9 papers; trusts 859 researchers and is trusted by 2,541 researchers here, as inferred from the citation graph.

Subfields

Whom Lukás Neumann trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Ross B. Girshick
  4. Kaiming He
  5. Jiri Matas
  6. Karen Simonyan
  7. Andrew Zisserman
  8. Yann LeCun
  9. Piotr Doll'ar
  10. John F. Canny

Who trusts Lukás Neumann overall

  1. Cong Yao
  2. Xiang Bai
  3. Max Jaderberg
  4. Zheng Zhang
  5. Andrea Vedaldi
  6. Baoguang Shi
  7. Pengyuan Lyu
  8. Weilin Huang
  9. Lluís Gómez
  10. Andrew Zisserman

Papers from Lukás Neumann's perspective

Ordered by how strongly the researchers Lukás Neumann 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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