Saeeda Naz

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it

Whom Saeeda Naz trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky
2. Gil Levi
3. Weidi Xie
4. Geoffrey E. Hinton
5. Jia Deng
6. Ilya Sutskever
7. Harry Pratt
8. Parnian Afshar
9. Andrew Zisserman

Who trusts Saeeda Naz overall

1. S. Suganyadevi
2. Milica M. Badža
3. Rafael Staiger Bressan

Papers from Saeeda Naz's perspective

Ordered by how strongly the researchers Saeeda Naz trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. ImageNet: A large-scale hierarchical image database
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep Learning for Medical Image Processing: Overview, Challenges and Future (2017) — 1,183 citations
• A Deep Learning-Based Framework for Automatic Brain Tumors Classification Using Transfer Learning (2019) — 555 citations