Xiaobai Li
Computer Vision and Pattern Recognition · PLoS ONE · 2011–2020
A researcher in the Science corpus: 9 papers; trusts 241 researchers and is trusted by 30 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 116 citations into it; #9,791 of 21,575 by trust here, #10,010 by citations
- Signal Processing — 42 citations into it
- Artificial Intelligence — 36 citations into it
- Biomedical Engineering — 22 citations into it; #2,104 of 10,734 by trust here, #7,661 by citations
- Experimental and Cognitive Psychology — 22 citations into it; #1,422 of 9,731 by trust here, #3,026 by citations
- Cognitive Neuroscience — 21 citations into it; #4,251 of 10,852 by trust here, #6,360 by citations
- Model Architectures — 17 citations into it
- Cardiology and Cardiovascular Medicine — 14 citations into it; #88 of 906 by trust here, #536 by citations
Whom Xiaobai Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul A. Viola
- Senya Polikovsky
- Dawn A. Matsumoto
- Kaiming He
- Ming-Zher Poh
- Chih-Jen Lin
- Ce Liu
- Geoffrey E. Hinton
- Alex Krizhevsky
- Mohammad Soleymani
Who trusts Xiaobai Li overall
- Zitong Yu
- Wei Peng
- Sze‐Teng Liong
- Guoying Zhao
- Xianye Ben
- Yong-jin Liu
- Xuesong Niu
- Xiaopeng Hong
- Adrian K. Davison
- Weixuan 'Vincent' Chen
Papers from Xiaobai Li's perspective
Ordered by how strongly the researchers Xiaobai Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Searching Central Difference Convolutional Networks for Face Anti-Spoofing (2020) — 569 citations
- Remote Heart Rate Measurement from Face Videos under Realistic Situations (2014) — 535 citations
- Remote Photoplethysmograph Signal Measurement from Facial Videos Using Spatio-Temporal Networks (2019) — 419 citations
- Remote Heart Rate Measurement From Highly Compressed Facial Videos: An End-to-End Deep Learning Solution With Video Enhancement (2019) — 332 citations
- CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation (2014) — 958 citations
- Towards Reading Hidden Emotions: A Comparative Study of Spontaneous Micro-Expression Spotting and Recognition Methods (2015) — 392 citations
- Face Anti-Spoofing with Human Material Perception (2020) — 155 citations
- A Spontaneous Micro-expression Database: Inducement, collection and baseline (2013) — 650 citations
- Recognising spontaneous facial micro-expressions (2011) — 448 citations