Dan Casas

Computer Vision and Pattern Recognition · 2006–2017

A researcher in the Science corpus: 7 papers; trusts 588 researchers and is trusted by 159 researchers here, as inferred from the citation graph.

Subfields

Whom Dan Casas trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yann LeCun
  5. Ross B. Girshick
  6. Diederik P. Kingma
  7. Mykhaylo Andriluka
  8. Andrew Zisserman
  9. Yoshua Bengio
  10. Christian Szegedy

Who trusts Dan Casas overall

  1. Xiao Sun
  2. Muhammed Kocabas
  3. Gyeongsik Moon
  4. Ayush Kumar Tewari
  5. Hyeongwoo Kim
  6. Dushyant Mehta
  7. Michael J. Black
  8. Michael Zollhöfer
  9. Xingyi Zhou
  10. Georgios Pavlakos

Papers from Dan Casas's perspective

Ordered by how strongly the researchers Dan Casas 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers