Dustin Schwenk

Computer Vision and Pattern Recognition · 2017–2022

A researcher in the Science corpus: 5 papers; trusts 744 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Dustin Schwenk trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Ross B. Girshick
  7. Ilya Sutskever
  8. Yann LeCun
  9. Karen Simonyan
  10. Shaoqing Ren

Who trusts Dustin Schwenk overall

  1. Haotian Liu
  2. Yanwei Li
  3. Bo Li
  4. Haozhe Zhao
  5. Hugo Laurençon
  6. Lin Chen
  7. Liang Chen
  8. Jun Chen
  9. Yifan Li
  10. Zhenfang Chen

Papers from Dustin Schwenk's perspective

Ordered by how strongly the researchers Dustin Schwenk 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  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