Wolf Kienzle

Computer Vision and Pattern Recognition · 2006–2012

A researcher in the Science corpus: 2 papers; trusts 80 researchers and is trusted by 223 researchers here, as inferred from the citation graph.

Subfields

Whom Wolf Kienzle trusts overall

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

  1. Bernhard Schölkopf
  2. John Shawe-Taylor
  3. G. Kimeldorf
  4. Piotr Doll'ar
  5. Alex Smola
  6. Grace Wahba
  7. Jerome H. Friedman
  8. Nello Cristianini
  9. Navneet Dalal
  10. Peter Sollich

Who trusts Wolf Kienzle overall

  1. Yu-Xiong Wang
  2. Michaël Perrot
  3. Wanli Ouyang
  4. Angela Yao
  5. Sang-Woo Lee
  6. Martial Hebert
  7. Luc Van Gool
  8. Amaury Habrard
  9. Xiaogang Wang
  10. Yu Zhang

Papers from Wolf Kienzle's perspective

Ordered by how strongly the researchers Wolf Kienzle 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. 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. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Histograms of oriented gradients for human detection

Their papers