Kees A. Vissers

Computer Vision and Pattern Recognition · 2000–2018

A researcher in the Science corpus: 5 papers; trusts 60 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Kees A. Vissers trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Yann LeCun
  4. Karen Simonyan
  5. Yoshua Bengio
  6. Kaiming He
  7. Ilya Sutskever

Who trusts Kees A. Vissers overall

  1. Sparsh Mittal
  2. Edward A. Lee

Papers from Kees A. Vissers's perspective

Ordered by how strongly the researchers Kees A. Vissers 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. Gradient-based learning applied to document recognition
  3. ImageNet classification with deep convolutional neural networks
  4. ImageNet: A large-scale hierarchical image database
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers