Po-Han Huang
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 1 paper; trusts 83 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 33 citations into it; #16,132 of 21,575 by trust here, #9,872 by citations
- Aerospace Engineering — 9 citations into it
- 3D Vision & Pose — 7 citations into it
- Model Architectures — 6 citations into it
- Artificial Intelligence — 5 citations into it
Whom Po-Han Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yasutaka Furukawa
- Diederik P. Kingma
- Karen Simonyan
- Johannes L. Schönberger
- Yann LeCun
- Alex Krizhevsky
- Geoffrey E. Hinton
- Andrew Zisserman
- Kaiming He
- Ross B. Girshick
Who trusts Po-Han Huang overall
- Yao Yao
- Ibraheem Alhashim
- Jia-Bin Huang
- Yuliang Zou
- Hamid Laga
- Bo Yang
- Zehao Yu
- Xuan Luo
- Yuan-Ting Hu
- Zak Murez
Papers from Po-Han Huang's perspective
Ordered by how strongly the researchers Po-Han Huang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- DeepMVS: Learning Multi-view Stereopsis (2018) — 596 citations