Shihao Tang

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shihao Tang trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  4. Ali Farhadi (in Computer Vision and Pattern Recognition)
  5. Piotr Doll'ar (in Computer Vision and Pattern Recognition)
  6. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  7. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  8. Joseph Redmon (in Computer Vision and Pattern Recognition)
  9. Jitendra Malik (in Computer Vision and Pattern Recognition)
  10. Trevor Darrell (in Computer Vision and Pattern Recognition)

Papers from Shihao Tang's perspective

Ordered by how strongly the researchers Shihao Tang 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. Gradient-based learning applied to document recognition
  4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  5. Fully convolutional networks for semantic segmentation
  6. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  7. Feature Pyramid Networks for Object Detection
  8. YOLO9000: Better, Faster, Stronger
  9. ImageNet: A large-scale hierarchical image database
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers