Maria V. Ortiz Segovia

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 496 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it; #18,453 of 21,575 by trust here, #16,367 by citations
• Artificial Intelligence — 12 citations into it
• Model Architectures — 5 citations into it

Whom Maria V. Ortiz Segovia trusts overall

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

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

Who trusts Maria V. Ortiz Segovia overall

1. Kevis-Kokitsi Maninis
2. Guolei Sun
3. Andrea Maracani
4. Tong Shen
5. Amita Kamath

Papers from Maria V. Ortiz Segovia's perspective

Ordered by how strongly the researchers Maria V. Ortiz Segovia 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. Gradient-based learning applied to document recognition
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

• Webly Supervised Semantic Segmentation (2017) — 91 citations