Oliver Matias van Kaick

Computer Vision and Pattern Recognition · 2011–2012

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Oliver Matias van Kaick trusts overall

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

  1. Marc Alexa
  2. Olga Sorkine-Hornung
  3. Alexander C. Berg
  4. Ariel Shamir
  5. A. Bronstein
  6. Jitendra Malik
  7. Geoffrey E. Hinton
  8. Tamara L. Berg
  9. Alex Krizhevsky
  10. Kaiming He

Who trusts Oliver Matias van Kaick overall

  1. Vladimir G. Kim
  2. Feng Zhou
  3. Wilmot Li
  4. Niloy J. Mitra
  5. Kai Xu
  6. Thomas A. Funkhouser
  7. Jiayi Ma
  8. Evangelos Kalogerakis
  9. Yunhai Wang
  10. Siddhartha Chaudhuri

Papers from Oliver Matias van Kaick's perspective

Ordered by how strongly the researchers Oliver Matias van Kaick 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers