Delin Qu

Computer Vision and Pattern Recognition · 2023–2025

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Delin Qu trusts overall

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

  1. Thomas Whelan
  2. Xiaohua Zhai
  3. Geoffrey E. Hinton
  4. Alec Radford
  5. Alex Krizhevsky
  6. Diederik P. Kingma
  7. Kaiming He
  8. Shariq Farooq Bhat
  9. Raul Mur-Artal
  10. Yoshua Bengio

Papers from Delin Qu's perspective

Ordered by how strongly the researchers Delin Qu 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers