Yunsong Li

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 48 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yunsong Li trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. L. Eon Bottou
  4. Tsung-Yi Lin
  5. Shaoqing Ren

Papers from Yunsong Li's perspective

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

  1. ImageNet: A large-scale hierarchical image database
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  5. Microsoft COCO: Common Objects in Context
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers