Shuohao Li
2017
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Shuohao Li trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Thorsten Joachims (in Representation & Self-Supervised Learning)
- Matthew Schultz (in Representation & Self-Supervised Learning)
Papers from Shuohao Li's perspective
Ordered by how strongly the researchers Shuohao Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments
- FaceNet: A unified embedding for face recognition and clustering
- DeepFace: Closing the Gap to Human-Level Performance in Face Verification
- Torch7: A Matlab-like Environment for Machine Learning
- Deeply learned face representations are sparse, selective, and robust
- Recover Canonical-View Faces in the Wild with Deep Neural Networks
- Learning a Distance Metric from Relative Comparisons
- Handling concept drifts in incremental learning with support vector machines
- OpenFace: A general-purpose face recognition library with mobile applications
- ImageNet classification with deep convolutional neural networks
Their papers
- An incremental face recognition system based on deep learning (2017) — 20 citations