Daniel J. McDuff

Computer Vision and Pattern Recognition · 2011–2021

A researcher in the Science corpus: 13 papers; trusts 599 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel J. McDuff trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Kaiming He
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Ilya Sutskever
  7. Yann LeCun
  8. Matthew D. Zeiler
  9. Jimmy Ba
  10. Ruslan Salakhutdinov

Who trusts Daniel J. McDuff overall

  1. Zitong Yu
  2. Xiaobai Li
  3. Wenjin Wang
  4. Xuesong Niu
  5. Xin Liu
  6. Guoying Zhao
  7. Zhaoxi Mu
  8. Ane Alberdi
  9. Umur Aybars Ciftci
  10. Giorgos Giannakakis

Papers from Daniel J. McDuff's perspective

Ordered by how strongly the researchers Daniel J. McDuff 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. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers