Xin Geng

Computer Vision and Pattern Recognition · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2004–2021

A researcher in the Science corpus: 8 papers; trusts 305 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

Whom Xin Geng trusts overall

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

  1. Andreas Lanitis
  2. Chih-Jen Lin
  3. Geoffrey E. Hinton
  4. Narayanan Ramanathan
  5. Alex Krizhevsky
  6. Robert Malouf
  7. Feng Kang
  8. J. Ross Quinlan
  9. Kaiming He
  10. Sam T. Roweis

Who trusts Xin Geng overall

  1. Hu Han
  2. Yun Fu
  3. Yu Zhang
  4. Guo-qing Guo
  5. Anil K. Jain
  6. Bor-Chun Chen
  7. Thomas S. Huang
  8. Antitza Dantcheva
  9. Changsheng Li
  10. Chu-Song Chen

Papers from Xin Geng's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers