Vítor Albiero
Computer Vision and Pattern Recognition · 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 — 8 citations into it
Whom Vítor Albiero trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
- Shaoqing Ren (in Computer Vision and Pattern Recognition)
- Kaiming He (in Computer Vision and Pattern Recognition)
- Omkar M. Parkhi (in Computer Vision and Pattern Recognition)
- X. Zhang (in Computer Vision and Pattern Recognition)
- Andrea Vedaldi (in Computer Vision and Pattern Recognition)
Papers from Vítor Albiero's perspective
Ordered by how strongly the researchers Vítor Albiero trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Deep Face Recognition
- VGGFace2: A Dataset for Recognising Faces across Pose and Age
- Face recognition vendor test 2002 (2003 IEEE International SOI Conference. Proceedings (Cat. No.03CH37443))
- MORPH: a longitudinal image database of normal adult age-progression
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Characterizing the Variability in Face Recognition Accuracy Relative to Race (2019) — 98 citations