Thomas L. Dean

Computer Vision and Pattern Recognition · with Cox · 2013–2014

A researcher in the Science corpus: 3 papers; trusts 111 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas L. Dean trusts overall

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

  1. Geoffrey E. Hinton
  2. Pedro F. Felzenszwalb
  3. Alex Krizhevsky
  4. Ilya Sutskever
  5. Yoshua Bengio
  6. Ross B. Girshick
  7. Paul J. Werbos
  8. Yann LeCun
  9. Shun-ichi Amari
  10. Navneet Dalal

Who trusts Thomas L. Dean overall

  1. Ross B. Girshick
  2. Anshumali Shrivastava
  3. Behnam Neyshabur
  4. Gang Yu
  5. Jitendra Malik
  6. Jingdong Wang
  7. Gong Cheng
  8. Paul Wohlhart
  9. Santosh Kumar Divvala
  10. Dongqing Zhang

Papers from Thomas L. Dean's perspective

Ordered by how strongly the researchers Thomas L. Dean 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  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. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers