Victoria Bloom

Computer Vision and Pattern Recognition · 2012–2014

A researcher in the Science corpus: 4 papers; trusts 45 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

Whom Victoria Bloom trusts overall

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

  1. Yoav Freund
  2. Pavel Senin
  3. Dimitrios Makris
  4. Vasileios Argyriou
  5. Christian Schüldt
  6. Robert E. Schapire
  7. Isabelle M Guyon
  8. Elizaveta Levina
  9. Ryan M. Rifkin
  10. Ivan Laptev

Who trusts Victoria Bloom overall

  1. Pichao Wang
  2. Siqi Nie
  3. Yonghong Hou
  4. Fei Han
  5. Michael Firman
  6. Seungryul Baek
  7. Wanqing Li
  8. Jun Liu
  9. Vasileios Argyriou
  10. Amr Sharaf

Papers from Victoria Bloom's perspective

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

Their papers