Willem Aarents

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Willem Aarents trusts overall

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

  1. Alex Zihao Zhu
  2. Andreas Geiger
  3. Paul Timothy Furgale
  4. Haoyang Ye
  5. Henri Rebecq
  6. William P. Maddern
  7. Vitor Campanholo Guizilini

Papers from Willem Aarents's perspective

Ordered by how strongly the researchers Willem Aarents 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Are we ready for autonomous driving? The KITTI vision benchmark suite
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers