Manel Baradad

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 201 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it
• Artificial Intelligence — 27 citations into it
• Model Architectures — 11 citations into it

Whom Manel Baradad trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Diederik P. Kingma
6. Alex Krizhevsky
7. Bharath Hariharan
8. Shaoqing Ren
9. Ilya Sutskever
10. Pablo Arbeláez

Papers from Manel Baradad's perspective

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

Their papers

• Recurrent Neural Networks for Semantic Instance Segmentation (2017) — 65 citations