Caroline Petitjean

Computer Vision and Pattern Recognition · 2011–2018

A researcher in the Science corpus: 6 papers; trusts 214 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 87 citations into it; #5,927 of 21,575 by trust here, #5,053 by citations
• Artificial Intelligence — 33 citations into it; #15,070 of 35,345 by trust here, #12,387 by citations
• Media Technology — 11 citations into it
• Generative Models — 8 citations into it

Whom Caroline Petitjean trusts overall

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

1. Yann LeCun
2. Arthur P. Dempster
3. Daniel Cremers
4. Alex Krizhevsky
5. David G. Lowe
6. Steven C. Mitchell
7. Geoffrey E. Hinton
8. Yoshua Bengio
9. Kaiming He
10. Ilya Sutskever

Who trusts Caroline Petitjean overall

1. Phi Vu Tran
2. Xiahai Zhuang
3. M. Avendi
4. Tuan Anh Ngo
5. Anirban Mukhopadhyay
6. Dalal Bardou
7. Sergey I. Nikolenko
8. Fabio Alexandre Spanhol
9. Zhi Lu
10. Arash Kheradvar

Papers from Caroline Petitjean's perspective

Ordered by how strongly the researchers Caroline Petitjean 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. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• A Dataset for Breast Cancer Histopathological Image Classification (2016) — 1,610 citations
• Medical Image Synthesis with Context-Aware Generative Adversarial Networks (2016) — 763 citations
• A review of segmentation methods in short axis cardiac MR images (2011) — 756 citations
• Medical Image Synthesis with Deep Convolutional Adversarial Networks (2018) — 562 citations
• Deep features for breast cancer histopathological image classification (2017) — 296 citations
• Breast cancer histopathological image classification using Convolutional Neural Networks (2016) — 838 citations