Bart Vredebregt

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 52 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bart Vredebregt trusts overall

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

  1. Tsung-Yi Lin
  2. Kaiming He
  3. Shaoqing Ren
  4. Ross B. Girshick
  5. Joseph Redmon
  6. Alex Krizhevsky
  7. Geoffrey E. Hinton
  8. Olga Russakovsky
  9. Jia Deng
  10. Yann LeCun

Papers from Bart Vredebregt's perspective

Ordered by how strongly the researchers Bart Vredebregt 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. ImageNet Large Scale Visual Recognition Challenge
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Microsoft COCO: Common Objects in Context
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers