Marian Verhelst

Computer Vision and Pattern Recognition · 2016–2020

A researcher in the Science corpus: 6 papers; trusts 25 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Marian Verhelst trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. Bert Moons
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Yoshua Bengio
  7. L. Eon Bottou

Who trusts Marian Verhelst overall

  1. Bert Moons
  2. Md Maruf Hossain Shuvo
  3. Van-Tam Nguyen
  4. Shimeng Yu
  5. M. Mohammadi

Papers from Marian Verhelst's perspective

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

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

Their papers