Guiguang Ding

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

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Guiguang Ding trusts overall

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

  1. Joseph Redmon

Papers from Guiguang Ding's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Path Aggregation Network for Instance Segmentation
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. A ConvNet for the 2020s
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Going deeper with convolutions
  7. ImageNet: A large-scale hierarchical image database
  8. YOLOv6 v3.0: A Full-Scale Reloading (arXiv.org)
  9. Gradient-based learning applied to document recognition
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers