Paulo L. J. Drews-Jr

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Paulo L. J. Drews-Jr trusts overall

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

  1. Raanan Fattal
  2. Robby T. Tan
  3. Daniel Scharstein
  4. Yoav Y. Schechner
  5. Liu Chao
  6. John Yi-Wu Chiang
  7. Kaiming He
  8. Kristofor B. Gibson
  9. Richard Szeliski
  10. Nir Karpel

Who trusts Paulo L. J. Drews-Jr overall

  1. Derya Akkaynak
  2. Yan-Tsung Peng
  3. Wei Song
  4. Tali Treibitz
  5. Peixian Zhuang
  6. Dana Berman
  7. Albert Y. Kim
  8. Jie Li
  9. Risheng Liu
  10. Pamela C. Cosman

Papers from Paulo L. J. Drews-Jr's perspective

Ordered by how strongly the researchers Paulo L. J. Drews-Jr trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Going deeper with convolutions
  8. ImageNet: A large-scale hierarchical image database
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers