Po-Hao Hsu

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Po-Hao Hsu trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. Alexei A. Efros (in Computer Vision and Pattern Recognition)
  3. Kaiming He (in Computer Vision and Pattern Recognition)
  4. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  5. Phillip Isola (in Computer Vision and Pattern Recognition)
  6. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  7. Jitendra Malik (in Computer Vision and Pattern Recognition)
  8. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  9. Jun-Yan Zhu (in Computer Vision and Pattern Recognition)

Papers from Po-Hao Hsu's perspective

Ordered by how strongly the researchers Po-Hao Hsu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Image-to-Image Translation with Conditional Adversarial Networks
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. ImageNet: A large-scale hierarchical image database
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers