Qiliang Ren

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 2 papers; trusts 234 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qiliang Ren trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Alex Krizhevsky
  4. Joseph Redmon
  5. Geoffrey E. Hinton
  6. Karen Simonyan
  7. Chien-Yao Wang
  8. Yoshua Bengio
  9. Ilya Sutskever
  10. Andrew Zisserman

Papers from Qiliang Ren's perspective

Ordered by how strongly the researchers Qiliang Ren 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers