M. Veta

Computer Vision and Pattern Recognition · 2013–2021

A researcher in the Science corpus: 8 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom M. Veta trusts overall

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

  1. Dan Claudiu Ciresan
  2. Karen Simonyan
  3. Kaiming He
  4. Thorsten Joachims
  5. Alessandro Giusti
  6. Geoffrey E. Hinton
  7. J. Urgen Schmidhuber
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Yoshua Bengio

Who trusts M. Veta overall

  1. Erik J. Bekkers
  2. Neslihan Bayramoglu
  3. David W. Romero
  4. Yahui Jiang
  5. Yuxin Cui
  6. Faisal Mahmood
  7. Andrew Janowczyk
  8. Fuyong Xing
  9. Neofytos Dimitriou
  10. Balazs Acs

Papers from M. Veta's perspective

Ordered by how strongly the researchers M. Veta 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Going deeper with convolutions
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers