Javier Marín

Computer Vision and Pattern Recognition · with Aytar · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 145 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it
• Artificial Intelligence — 27 citations into it
• Natural Language Processing — 14 citations into it
• Representation & Self-Supervised Learning — 14 citations into it
• Multimodal Learning — 11 citations into it
• Model Architectures — 7 citations into it

Whom Javier Marín trusts overall

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

1. Karen Simonyan
2. Ilya Sutskever
3. Geoffrey E. Hinton
4. Kaiming He
5. Oriol Vinyals
6. Alex Krizhevsky
7. Andrew Zisserman
8. Tomas Mikolov
9. Yoshua Bengio
10. Yann LeCun

Who trusts Javier Marín overall

1. Amaia Salvador

Papers from Javier Marín's perspective

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

Their papers

• Learning Cross-Modal Embeddings for Cooking Recipes and Food Images (2017) — 316 citations
• Recipe1M: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images (2018) — 386 citations
• Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media (2017) — 78 citations