Ivo Wolf

Computer Vision and Pattern Recognition · 2004–2018

A researcher in the Science corpus: 5 papers; trusts 64 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Ivo Wolf trusts overall

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

  1. Ross B. Girshick
  2. Karen Simonyan
  3. Kaiming He
  4. Andrew Zisserman
  5. Matthew D. Zeiler
  6. Geoffrey E. Hinton
  7. Shaoqing Ren
  8. Alex Krizhevsky
  9. Rob Fergus
  10. Evan Shelhamer

Who trusts Ivo Wolf overall

  1. Xu Zhong

Papers from Ivo Wolf's perspective

Ordered by how strongly the researchers Ivo Wolf 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. ImageNet Large Scale Visual Recognition Challenge
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Microsoft COCO: Common Objects in Context

Their papers