T. Mudge

Computer Vision and Pattern Recognition · 2001–2018

A researcher in the Science corpus: 14 papers; trusts 3 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom T. Mudge trusts overall

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

  1. Karen Simonyan
  2. Andrew Zisserman
  3. Alex Krizhevsky

Who trusts T. Mudge overall

  1. Assaf Shacham
  2. Keren Bergman
  3. Young Geun Kim
  4. Shidhartha Das
  5. Nam Sung Kim
  6. Carole-Jean Wu
  7. David T. Blaauw
  8. Luca P. Carloni

Papers from T. Mudge's perspective

Ordered by how strongly the researchers T. Mudge trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Natural Language Processing (Almost) from Scratch
  5. cuDNN: Efficient Primitives for Deep Learning
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. The Kaldi Speech Recognition Toolkit
  8. DeepFace: Closing the Gap to Human-Level Performance in Face Verification
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers