Tieyong Zeng

Computer Vision and Pattern Recognition · with Liu · 2023

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tieyong Zeng trusts

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

  1. Jia Deng (in Computer Vision and Pattern Recognition)
  2. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  3. Kaiming He (in Computer Vision and Pattern Recognition)
  4. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  5. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  6. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  7. Piotr Doll'ar (in Computer Vision and Pattern Recognition)
  8. Jitendra Malik (in Computer Vision and Pattern Recognition)
  9. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  10. Ilya Sutskever (in Computer Vision and Pattern Recognition)

Papers from Tieyong Zeng's perspective

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

  1. ImageNet: A large-scale hierarchical image database
  2. Going deeper with convolutions
  3. GENERATIVE ADVERSARIAL NETS
  4. Microsoft COCO: Common Objects in Context
  5. Improved Techniques for Training GANs
  6. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. AUTO-ENCODING VARIATIONAL BAYES
  9. ImageNet classification with deep convolutional neural networks
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers