Long Chen

Computer Vision and Pattern Recognition · 1 papers · 2021

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Long Chen trusts overall

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

  1. Kaiming He
  2. Joseph Redmon

Papers from Long Chen's perspective

Ordered by how strongly the researchers Long 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. ImageNet classification with deep convolutional neural networks
  3. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  4. ImageNet: A large-scale hierarchical image database
  5. Going deeper with convolutions
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers