Karl S. Ni

Computer Vision and Pattern Recognition · 2014–2018

A researcher in the Science corpus: 5 papers; trusts 19 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Karl S. Ni trusts overall

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

  1. James Hays
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Jia Deng
  5. Quoc V. Le
  6. Alexei A. Efros
  7. Ilya Sutskever
  8. Richard Socher
  9. Gary B. Huang
  10. Yoshua Bengio

Who trusts Karl S. Ni overall

  1. Mathilde Caron
  2. Armand Joulin
  3. Patrick Helber
  4. Piotr Bojanowski
  5. Aaron Gokaslan
  6. Ishan Misra
  7. Chen Sun
  8. Justin Johnson
  9. Abhinav Kumar Gupta

Papers from Karl S. Ni's perspective

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

Their papers