Sara Daneshvar
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 6 citations into it
Whom Sara Daneshvar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Sara Daneshvar overall
Papers from Sara Daneshvar's perspective
Ordered by how strongly the researchers Sara Daneshvar 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
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Rethinking the Inception Architecture for Computer Vision
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Seven-Point Checklist and Skin Lesion Classification Using Multitask Multimodal Neural Nets (2019) — 517 citations