Jonas Wulff

Computer Vision and Pattern Recognition · 2012–2021

A researcher in the Science corpus: 7 papers; trusts 808 researchers and is trusted by 1,451 researchers here, as inferred from the citation graph.

Subfields

Whom Jonas Wulff trusts overall

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

  1. Kaiming He
  2. Deqing Sun
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Karen Simonyan
  7. Thomas Brox
  8. Michael J. Black
  9. Yoshua Bengio
  10. Yann LeCun

Who trusts Jonas Wulff overall

  1. Deqing Sun
  2. Joel Janai
  3. Michael J. Black
  4. Fatma Güney
  5. Jingchun Cheng
  6. Ming-Hsuan Yang
  7. Yi-Hsuan Tsai
  8. Till Kroeger
  9. Andreas Geiger
  10. Dilip Ravi Kiran

Papers from Jonas Wulff's perspective

Ordered by how strongly the researchers Jonas Wulff trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers