Ross Wightman

Computer Vision and Pattern Recognition · 2021–2022

A researcher in the Science corpus: 4 papers; trusts 562 researchers and is trusted by 49 researchers here, as inferred from the citation graph.

Subfields

Whom Ross Wightman trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Christian Szegedy
  6. Ross B. Girshick
  7. Yoshua Bengio
  8. Diederik P. Kingma
  9. Quoc V. Le
  10. Yann LeCun

Who trusts Ross Wightman overall

  1. Xiaohua Zhai
  2. Sachin Mehta
  3. Jianwei Yang
  4. Zhiqiang Shen
  5. Asher Trockman
  6. Weihao Yu
  7. Hugo Touvron
  8. Zizheng Pan
  9. Shoufa Chen
  10. Ali Hassani

Papers from Ross Wightman's perspective

Ordered by how strongly the researchers Ross Wightman 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers