Aurélio J. C. Campilho
Computer Vision and Pattern Recognition · 2006–2020
A researcher in the Science corpus: 6 papers; trusts 11 researchers and is trusted by 28 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 93 citations into it; #5,531 of 21,575 by trust here, #6,873 by citations
- Radiology, Nuclear Medicine and Imaging — 72 citations into it; #280 of 3,265 by trust here, #648 by citations
- Artificial Intelligence — 67 citations into it
- Model Architectures — 26 citations into it
Whom Aurélio J. C. Campilho trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Aurélio J. C. Campilho overall
- Elisa Ricci
- Arunkumar Rajendran
- Muhammad Moazam Fraz
- José Ignacio Orlando
- Sohini Roychowdhury
- Carmen Alina Lupascu
- George Azzopardi
- Diego Marín
- Yitian Zhao
- Jiong Zhang
Papers from Aurélio J. C. Campilho's perspective
Ordered by how strongly the researchers Aurélio J. C. Campilho trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Going deeper with convolutions
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- GENERATIVE ADVERSARIAL NETS
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- Fully convolutional networks for semantic segmentation
Their papers
- IDRiD: Diabetic Retinopathy - Segmentation and Grading Challenge. (2020) — 366 citations
- BACH: Grand challenge on breast cancer histology images (2018) — 716 citations
- End-to-End Adversarial Retinal Image Synthesis (2018) — 396 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
- Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction (2006) — 1,021 citations