Priscila Tiemi Maeda Saito
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 11 citations into it
- Artificial Intelligence — 6 citations into it
Whom Priscila Tiemi Maeda Saito trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Shaoqing Ren (in Computer Vision and Pattern Recognition)
- Kaiming He (in Computer Vision and Pattern Recognition)
- X. Zhang (in Computer Vision and Pattern Recognition)
- Yoshua Bengio (in Computer Vision and Pattern Recognition)
Papers from Priscila Tiemi Maeda Saito's perspective
Ordered by how strongly the researchers Priscila Tiemi Maeda Saito trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet Large Scale Visual Recognition Challenge
- Rethinking the Inception Architecture for Computer Vision
- ImageNet classification with deep convolutional neural networks
- Identity Mappings in Deep Residual Networks
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
Their papers
- DOCToR: The Role of Deep Features in Content-Based Mammographic Image Retrieval (2018) — 12 citations