Yuxin Pan

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yuxin Pan trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  3. X. Zhang (in Computer Vision and Pattern Recognition)
  4. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  5. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  6. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  7. Ilya Sutskever (in Computer Vision and Pattern Recognition)
  8. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  9. Jitendra Malik (in Computer Vision and Pattern Recognition)
  10. Raquel Urtasun (in Computer Vision and Pattern Recognition)

Who trusts Yuxin Pan

  1. Philipp Krahenbuhl (in Computer Vision and Pattern Recognition)
  2. Xingyi Zhou (in Computer Vision and Pattern Recognition)

Papers from Yuxin Pan's perspective

Ordered by how strongly the researchers Yuxin Pan 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 classification with deep convolutional neural networks
  3. ImageNet: A large-scale hierarchical image database
  4. Histograms of oriented gradients for human detection
  5. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  6. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  7. The Cityscapes Dataset for Semantic Urban Scene Understanding
  8. SSD: Single Shot MultiBox Detector
  9. Are we ready for autonomous driving? The KITTI vision benchmark suite
  10. Gradient-based learning applied to document recognition

Their papers