Obadiah Lam

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 100 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Obadiah Lam trusts overall

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

  1. David G. Lowe
  2. Alex Krizhevsky
  3. Ross B. Girshick
  4. Geoffrey E. Hinton
  5. Jeff Donahue
  6. Ilya Sutskever
  7. Jia Deng
  8. Yann LeCun
  9. Yangqing Jia
  10. Kaiming He

Who trusts Obadiah Lam overall

  1. Niko Sünderhauf
  2. Lei Tai
  3. Ingmar Kanitscheider
  4. Tayyab Naseer

Papers from Obadiah Lam's perspective

Ordered by how strongly the researchers Obadiah Lam 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. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Their papers