Volker Schönefeld

Computer Vision and Pattern Recognition · 2006

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Volker Schönefeld trusts overall

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

  1. Michael Ashikhmin
  2. Nikos Komodakis
  3. Vivek Kwatra
  4. Alexei A. Efros
  5. Li-Yi Wei
  6. Matteo Frigo
  7. Iddo Drori
  8. Marcelo Bertalmío
  9. Seunghyup Shin
  10. Yanxi Liu

Who trusts Volker Schönefeld overall

  1. Jia-Bin Huang

Papers from Volker Schönefeld's perspective

Ordered by how strongly the researchers Volker Schönefeld 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. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Going deeper with convolutions
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers