Michael King
Computer Vision and Pattern Recognition · with Bolme · 2019
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 9 citations into it
Whom Michael King trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Eric Learned-Miller (in Computer Vision and Pattern Recognition)
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
- Ross B. Girshick (in Computer Vision and Pattern Recognition)
- Kaiming He (in Computer Vision and Pattern Recognition)
- Shaoqing Ren (in Computer Vision and Pattern Recognition)
- Andrea Vedaldi (in Computer Vision and Pattern Recognition)
Papers from Michael King's perspective
Ordered by how strongly the researchers Michael King trusts endorse each paper. Same corpus, a different order for every researcher.
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- FaceNet: A unified embedding for face recognition and clustering
- Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments
- MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition
- Deep Face Recognition
- Face Detection with the Faster R-CNN (IEEE International Conference on Automatic Face & Gesture Recognition)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Going deeper with convolutions
- Gradient-based learning applied to document recognition