Thomas J. Fuchs

Computer Vision and Pattern Recognition · 2012–2019

A researcher in the Science corpus: 4 papers; trusts 44 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas J. Fuchs trusts overall

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

  1. Geoffrey E. Hinton
  2. Matthew D. Zeiler
  3. Alex Krizhevsky
  4. Rob Fergus
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Karen Simonyan
  8. Yann LeCun

Who trusts Thomas J. Fuchs overall

  1. Wojciech Samek
  2. Chaopeng Shen
  3. Christoph Feichtenhofer
  4. Anh Totti Nguyen
  5. Vamsi Krishna Ithapu
  6. Naomi Saphra
  7. Momin M. Malik

Papers from Thomas J. Fuchs's perspective

Ordered by how strongly the researchers Thomas J. Fuchs 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Microsoft COCO: Common Objects in Context
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers