Haifeng Liu

Computer Vision and Pattern Recognition · with Gong · 2020

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

Subfields

Whom Haifeng Liu trusts

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

  1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Haifeng Liu's perspective

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

  1. Learning Multiple Layers of Features from Tiny Images
  2. GloVe: Global Vectors for Word Representation
  3. Reading Digits in Natural Images with Unsupervised Feature Learning
  4. Training Deep Neural Networks on Noisy Labels with Bootstrapping
  5. Learning the parts of objects by non-negative matrix factorization
  6. Learning with Noisy Labels
  7. Zero-Shot Learning by Convex Combination of Semantic Embeddings
  8. Convexity, Classification, and Risk Bounds
  9. Recognition-by-components: a theory of human image understanding.
  10. Learning to detect objects in images via a sparse, part-based representation (IEEE Transactions on Pattern Analysis and Machine Intelligence)

Their papers