Jin Chen

Computer Vision and Pattern Recognition · with Wang · 2021

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jin Chen 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. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  4. Piotr Doll'ar (in Computer Vision and Pattern Recognition)
  5. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  6. X. Zhang (in Computer Vision and Pattern Recognition)

Papers from Jin Chen's perspective

Ordered by how strongly the researchers Jin Chen 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. ImageNet: A large-scale hierarchical image database
  3. Microsoft COCO: Common Objects in Context
  4. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  5. International Journal of Computer Vision manuscript No. (will be inserted by the editor) The PASCAL Visual Object Classes (VOC) Challenge
  6. ImageNet classification with deep convolutional neural networks
  7. Focal Loss for Dense Object Detection
  8. The Cityscapes Dataset for Semantic Urban Scene Understanding
  9. The Caltech-UCSD Birds-200-2011 Dataset
  10. Gradient-based learning applied to document recognition

Their papers