Bernie Hao Zhu

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 66 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bernie Hao Zhu trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Shaoqing Ren
  4. Jia Deng
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Tsung-Yi Lin
  9. Yoshua Bengio
  10. Diederik P. Kingma

Papers from Bernie Hao Zhu's perspective

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

Their papers