Miriam Bellver

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 341 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 61 citations into it
• Artificial Intelligence — 32 citations into it
• Model Architectures — 14 citations into it
• Optimization & Training — 5 citations into it

Whom Miriam Bellver trusts overall

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

1. Ross B. Girshick
2. Geoffrey E. Hinton
3. Kaiming He
4. Alex Krizhevsky
5. Yoshua Bengio
6. Diederik P. Kingma
7. Ilya Sutskever
8. Pablo Arbeláez
9. Yann LeCun
10. Christian Szegedy

Who trusts Miriam Bellver overall

1. Sean Welleck
2. Jialin Mao

Papers from Miriam Bellver's perspective

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

Their papers

• Recurrent Neural Networks for Semantic Instance Segmentation (2017) — 65 citations
• Hierarchical Object Detection with Deep Reinforcement Learning (2016) — 115 citations