Danfeng Qin

Computer Vision and Pattern Recognition · with Wang · 2024–2025

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

Subfields

Whom Danfeng Qin trusts overall

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

  1. Tsung-Yi Lin
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Christian Szegedy
  5. Ross B. Girshick
  6. Alex Krizhevsky
  7. Yoshua Bengio
  8. Diederik P. Kingma
  9. Yann LeCun
  10. Ilya Sutskever

Papers from Danfeng Qin's perspective

Ordered by how strongly the researchers Danfeng Qin 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. ImageNet Large Scale Visual Recognition Challenge
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers