Vlad Hosu

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 126 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Vlad Hosu trusts overall

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

  1. A. Bovik
  2. Kaiming He
  3. Anush K. Moorthy
  4. Christian Szegedy
  5. Geoffrey E. Hinton
  6. Diederik P. Kingma
  7. Karen Simonyan
  8. Zhou Wang
  9. Hamid R. Sheikh
  10. Alex Krizhevsky

Who trusts Vlad Hosu overall

  1. Haoning Wu
  2. Weixia Zhang
  3. Chaofeng Chen
  4. S. Alireza Golestaneh
  5. Zhengzhong Tu
  6. Jari Korhonen
  7. Kede Ma
  8. Yilin Wang
  9. Jianyi Wang
  10. Jingwen Hou

Papers from Vlad Hosu's perspective

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

Their papers