Joan Serrat Gual
Computer Vision and Pattern Recognition · 2010–2011
A researcher in the Science corpus: 2 papers; trusts 301 researchers and is trusted by 47 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 69 citations into it; #4,366 of 21,575 by trust here, #7,938 by citations
- Media Technology — 6 citations into it; #1,914 of 3,621 by trust here, #980 by citations
- Aerospace Engineering — 5 citations into it
Whom Joan Serrat Gual trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- Jianguo Zhang
- Pedro F. Felzenszwalb
- Geoffrey E. Hinton
- Lubor Ladicky
- Svetlana Lazebnik
- Alex Krizhevsky
- Andrew Zisserman
- Cordelia Schmid
- Kaiming He
Who trusts Joan Serrat Gual overall
Papers from Joan Serrat Gual's perspective
Ordered by how strongly the researchers Joan Serrat Gual trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Distinctive Image Features from Scale-Invariant Keypoints
Their papers
- Harmony potentials for joint classification and segmentation (2010) — 185 citations
- Harmony Potentials (2011) — 96 citations