Maciej Halber

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 231 researchers and is trusted by 113 researchers here, as inferred from the citation graph.

Subfields

Whom Maciej Halber trusts overall

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

  1. Shuran Song
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Ross B. Girshick
  6. Jianxiong Xiao
  7. Yann LeCun
  8. Diederik P. Kingma
  9. Yoshua Bengio
  10. Rob Fergus

Who trusts Maciej Halber overall

  1. Angela Dai
  2. Matthias Nießner
  3. Huan Fu
  4. Charles Ruizhongtai Qi
  5. Songyou Peng
  6. Peter Anderson
  7. Christopher Bongsoo Choy
  8. Yinda Zhang
  9. Angel X. Chang
  10. Erik Wijmans

Papers from Maciej Halber's perspective

Ordered by how strongly the researchers Maciej Halber 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. 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. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers