Y. Yang

Computer Vision and Pattern Recognition · with Liu · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Y. Yang trusts

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

  1. Karen Simonyan (in Computer Vision and Pattern Recognition)
  2. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Y. Yang's perspective

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

  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  2. VQA: Visual Question Answering
  3. CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
  4. Translating Embeddings for Modeling Multi-relational Data
  5. Stacked Attention Networks for Image Question Answering
  6. Yin and Yang: Balancing and Answering Binary Visual Questions
  7. FVQA: Fact-Based Visual Question Answering
  8. Analyzing the Behavior of Visual Question Answering Models
  9. A large annotated medical image dataset for the development and evaluation of segmentation algorithms (arXiv.org)
  10. User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability

Their papers