Xinxin Chen

Computer Vision and Pattern Recognition · with Liu · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xinxin Chen trusts

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

  1. Rob Fergus (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  4. X. Zhang (in Computer Vision and Pattern Recognition)
  5. David G. Lowe (in Computer Vision and Pattern Recognition)

Papers from Xinxin Chen's perspective

Ordered by how strongly the researchers Xinxin Chen 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Distilling the Knowledge in a Neural Network (arXiv.org)
  4. Densely Connected Convolutional Networks
  5. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  6. Automatic differentiation in PyTorch
  7. The Cityscapes Dataset for Semantic Urban Scene Understanding
  8. ImageNet classification with deep convolutional neural networks
  9. Are we ready for autonomous driving? The KITTI vision benchmark suite
  10. Squeeze-and-Excitation Networks

Their papers