Jun-Hai Yong

Computer Vision and Pattern Recognition · 2024

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

Subfields

Whom Jun-Hai Yong trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from Jun-Hai Yong's perspective

Ordered by how strongly the researchers Jun-Hai Yong trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Microsoft COCO: Common Objects in Context
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. YOLOv3: An Incremental Improvement
  5. Path Aggregation Network for Instance Segmentation
  6. Going deeper with convolutions
  7. Attention is All you Need (Neural Information Processing Systems)
  8. A ConvNet for the 2020s
  9. ImageNet: A large-scale hierarchical image database
  10. Gradient-based learning applied to document recognition

Their papers