Rares Ambrus

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 559 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Rares Ambrus trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Ross B. Girshick
  6. Karen Simonyan
  7. Yann LeCun
  8. Yoshua Bengio
  9. David G. Lowe
  10. Ilya Sutskever

Who trusts Rares Ambrus overall

  1. Junjie Huang
  2. Jamie Watson
  3. Yue Wang
  4. Xiaoyang Lyu
  5. Vitor Campanholo Guizilini
  6. Spyros Gidaris
  7. Matteo Poggi
  8. Clément Godard
  9. Dennis Park
  10. Guan Huang

Papers from Rares Ambrus's perspective

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

Their papers