Weiwen Hu

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Weiwen Hu trusts overall

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

  1. Johannes L. Schönberger
  2. Diederik P. Kingma
  3. Michael Oechsle
  4. Lars M. Mescheder
  5. Michael Niemeyer

Papers from Weiwen Hu's perspective

Ordered by how strongly the researchers Weiwen Hu 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Occupancy Networks: Learning 3D Reconstruction in Function Space (Computer Vision and Pattern Recognition)
  5. DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. GENERATIVE ADVERSARIAL NETS
  9. ImageNet: A large-scale hierarchical image database
  10. Long Short-Term Memory

Their papers