Xingzhao Liu

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xingzhao Liu 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)

Papers from Xingzhao Liu's perspective

Ordered by how strongly the researchers Xingzhao Liu 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. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  3. Fast R-CNN
  4. SSD: Single Shot MultiBox Detector
  5. Focal Loss for Dense Object Detection
  6. You Only Look Once: Unified, Real-Time Object Detection
  7. MMDetection: Open MMLab Detection Toolbox and Benchmark
  8. FCOS: Fully Convolutional One-Stage Object Detection
  9. DOTA: A Large-Scale Dataset for Object Detection in Aerial Images
  10. SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects (IEEE International Conference on Computer Vision)

Their papers