Bob Zhang

Computer Vision and Pattern Recognition · 2010–2022

A researcher in the Science corpus: 4 papers; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bob Zhang trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Lei Han
  4. Carlos Eduardo Thomaz
  5. Alex Krizhevsky
  6. Kaiming He
  7. Lior Wolf
  8. John Wright
  9. Yoshua Bengio

Who trusts Bob Zhang overall

  1. Zengqiang Yan
  2. Attila Budai
  3. Kevis-Kokitsi Maninis
  4. Muhammad Moazam Fraz
  5. Xin Yang
  6. Jordi Pont-Tuset
  7. Rüdiger Bock

Papers from Bob Zhang's perspective

Ordered by how strongly the researchers Bob Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Going deeper with convolutions
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers