Yifan Jiang

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yifan Jiang trusts overall

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

  1. Ben Mildenhall
  2. Ajay Jain
  3. Johannes L. Schönberger
  4. Jiawei Yang

Who trusts Yifan Jiang overall

  1. Guikun Chen

Papers from Yifan Jiang's perspective

Ordered by how strongly the researchers Yifan Jiang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  6. ImageNet: A large-scale hierarchical image database
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. Long Short-Term Memory
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers