Isabella Nogues

Computer Vision and Pattern Recognition · 2016–2023

A researcher in the Science corpus: 4 papers; trusts 271 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 104 citations into it; #19,770 of 21,575 by trust here, #3,361 by citations
• Artificial Intelligence — 65 citations into it
• Representation & Self-Supervised Learning — 22 citations into it
• Model Architectures — 13 citations into it
• Media Technology — 11 citations into it
• Natural Language Processing — 5 citations into it

Whom Isabella Nogues trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yann LeCun
4. Yoshua Bengio
5. Karen Simonyan
6. Ross B. Girshick
7. Ilya Sutskever
8. Diederik P. Kingma
9. Kaiming He
10. Andrew Zisserman

Who trusts Isabella Nogues overall

1. Chaopeng Shen
2. Mohammad Mustafa Taye

Papers from Isabella Nogues's perspective

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

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

Their papers

• Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning (2016) — 5,088 citations
• Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition (2017) — 41 citations
• Large-scale pancreatic cancer detection via non-contrast CT and deep learning (2023) — 321 citations
• DeepPap: Deep Convolutional Networks for Cervical Cell Classification (2017) — 431 citations