Teresa Araújo

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 69 citations into it

Whom Teresa Araújo trusts overall

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

1. Christian Szegedy
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Kaiming He
5. Diederik P. Kingma
6. Karen Simonyan
7. Ilya Sutskever
8. Yann LeCun
9. Metin Nafi Gurcan
10. Yoshua Bengio

Who trusts Teresa Araújo overall

1. Alexander Rakhlin
2. Akmalbek Bobomirzaevich Abdusalomov
3. Massimo Salvi
4. Md. Zahangir Alom
5. Yahui Jiang
6. Alexey A. Shvets
7. Ghulam Murtaza

Papers from Teresa Araújo's perspective

Ordered by how strongly the researchers Teresa Araújo 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. ImageNet Large Scale Visual Recognition Challenge
6. Going deeper with convolutions
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• IDRiD: Diabetic Retinopathy - Segmentation and Grading Challenge. (2020) — 366 citations
• BACH: Grand challenge on breast cancer histology images (2018) — 716 citations
• Classification of breast cancer histology images using Convolutional Neural Networks (2017) — 914 citations
• Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis (2017) — 68 citations