Benjamin Wilson

Computer Vision and Pattern Recognition · 2019–2023

A researcher in the Science corpus: 2 papers; trusts 103 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Benjamin Wilson trusts overall

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

  1. Kaiming He
  2. Shaoqing Ren
  3. Ross B. Girshick
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Andreas Geiger
  7. X. Zhang
  8. Yann LeCun
  9. Piotr Doll'ar
  10. Diederik P. Kingma

Who trusts Benjamin Wilson overall

  1. Dora Zhao
  2. Abeba Birhane
  3. Angelina Wang
  4. Zikang Zhou
  5. Yicheng Liu
  6. Yukang Chen
  7. Wei Yin
  8. Luigi Piccinelli
  9. Haotong Lin
  10. Vinay Uday Prabhu

Papers from Benjamin Wilson's perspective

Ordered by how strongly the researchers Benjamin Wilson 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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