Hongyi Xu

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Hongyi Xu trusts overall

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

  1. Javier Romero
  2. Michael J. Black
  3. Georgios Pavlakos
  4. Hanbyul Joo
  5. Andrei Zanfir
  6. Nikos Kolotouros
  7. Diederik P. Kingma
  8. Federica Bogo
  9. Dushyant Mehta
  10. Tianye Li

Who trusts Hongyi Xu overall

  1. Mathis Petrovich
  2. Ahmed A. A. Osman
  3. Michael J. Black
  4. Ce Zheng
  5. Timo Bolkart
  6. Bharat Lal Bhatnagar

Papers from Hongyi Xu's perspective

Ordered by how strongly the researchers Hongyi Xu 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. Microsoft COCO: Common Objects in Context
  5. ImageNet: A large-scale hierarchical image database
  6. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Gradient-based learning applied to document recognition
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Long Short-Term Memory

Their papers