Hao Zhu

Computer Vision and Pattern Recognition · with Yang · 2000–2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hao Zhu trusts overall

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

  1. Hao Li
  2. John C. Gower
  3. Sami Romdhani
  4. Thibaut Weise
  5. Thomas Vetter
  6. Ravi Ramamoorthi
  7. Luan Tran
  8. Chen Cao
  9. Brian Amberg
  10. Darren P. Cosker

Papers from Hao Zhu's perspective

Ordered by how strongly the researchers Hao Zhu 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. A Morphable Model For The Synthesis Of 3D Faces
  5. GENERATIVE ADVERSARIAL NETS
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. ImageNet: A large-scale hierarchical image database
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers