Yaojie Liu
Computer Vision and Pattern Recognition · 2017–2019
A researcher in the Science corpus: 4 papers; trusts 326 researchers and is trusted by 38 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 82 citations into it; #4,306 of 21,575 by trust here, #7,938 by citations
- Signal Processing — 50 citations into it; #726 of 7,572 by trust here, #1,504 by citations
- Information Systems — 12 citations into it
- Artificial Intelligence — 11 citations into it
- Media Technology — 10 citations into it
Whom Yaojie Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Zinelabinde Boulkenafet
- Jukka Komulainen
- Jianwei Yang
- Abdenour Hadid
- Geoffrey E. Hinton
- Kaiming He
- Ivana Chingovska
- Alex Krizhevsky
- Jukka Määttä
- Zhen Lei
Who trusts Yaojie Liu overall
- Zitong Yu
- Yunpei Jia
- Leonidas Spinoulas
- Zezheng Wang
- Anjith George
- Amin Jourabloo
- Xiao Yang
- Xiaobai Li
- Mohammad Rostami
- Chenxu Zhao
Papers from Yaojie Liu's perspective
Ordered by how strongly the researchers Yaojie Liu 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
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision (2018) — 679 citations
- Face De-Spoofing: Anti-Spoofing via Noise Modeling (2018) — 259 citations
- Face anti-spoofing using patch and depth-based CNNs (2017) — 426 citations
- Deep Tree Learning for Zero-Shot Face Anti-Spoofing (2019) — 263 citations