Tieyong Zeng

Computer Vision and Pattern Recognition · IEEE Transactions on Image Processing · 2011–2021

A researcher in the Science corpus: 3 papers; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tieyong Zeng trusts overall

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

  1. Jun Tian
  2. Mehmet Utku Celik
  3. Diljith M. Thodi
  4. Yongjian Hu
  5. Lixin Luo
  6. Wien Hong
  7. Marcelo J. Weinberger
  8. Jessica J. Fridrich

Who trusts Tieyong Zeng overall

  1. Xiaolong Li
  2. Weiming Zhang

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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Layer Normalization
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers