Shengyun Wei

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shengyun Wei trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  3. X. Zhang (in Computer Vision and Pattern Recognition)
  4. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  5. Piotr Doll'ar (in Computer Vision and Pattern Recognition)

Papers from Shengyun Wei's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Densely Connected Convolutional Networks
  3. Aggregated Residual Transformations for Deep Neural Networks
  4. YOLO9000: Better, Faster, Stronger
  5. Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
  6. Squeeze-and-Excitation Networks
  7. Deformable Convolutional Networks
  8. YOLOv3: An Incremental Improvement
  9. FCOS: Fully Convolutional One-Stage Object Detection
  10. DropBlock: A regularization method for convolutional networks

Their papers