Joan Martí

Computer Vision and Pattern Recognition · 2002–2018

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it

Whom Joan Martí trusts overall

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

1. Radford M. Neal
2. Alex Krizhevsky
3. Yann LeCun
4. Diederik P. Kingma
5. Geoffrey E. Hinton
6. Kenneth M. Rose
7. Yoshua Bengio
8. Heng-Da Cheng
9. David Martin Ward Powers
10. Evan Shelhamer

Papers from Joan Martí's perspective

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

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

Their papers

• Yet Another Survey on Image Segmentation: Region and Boundary Information Integration (2002) — 605 citations
• A review of automatic mass detection and segmentation in mammographic images (2010) — 435 citations
• Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks (2018) — 903 citations