Linxi Fan

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Linxi Fan trusts

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

  1. Rob Fergus (in Computer Vision and Pattern Recognition)
  2. Vladlen Koltun (in Computer Vision and Pattern Recognition)
  3. Andreas Geiger (in Computer Vision and Pattern Recognition)
  4. Fisher Yu (in Computer Vision and Pattern Recognition)
  5. Kaiming He (in Computer Vision and Pattern Recognition)
  6. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  7. Raquel Urtasun (in Computer Vision and Pattern Recognition)
  8. Diederik P. Kingma (in Artificial Intelligence)

Papers from Linxi Fan's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Multi-Scale Context Aggregation by Dilated Convolutions
  4. ImageNet classification with deep convolutional neural networks
  5. The Cityscapes Dataset for Semantic Urban Scene Understanding
  6. Are we ready for autonomous driving? The KITTI vision benchmark suite
  7. Gradient-based learning applied to document recognition
  8. Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
  9. PyTorch: An Imperative Style, High-Performance Deep Learning Library
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers