José Oramas
Computer Vision and Pattern Recognition · 2015
A researcher in the Science corpus: 2 papers; trusts 349 researchers and is trusted by 41 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 87 citations into it; #4,426 of 21,575 by trust here, #5,620 by citations
- Artificial Intelligence — 39 citations into it; #22,942 of 35,345 by trust here, #18,586 by citations
- Biomedical Engineering — 7 citations into it; #5,204 of 10,734 by trust here, #6,028 by citations
- Statistical Learning Theory — 6 citations into it
Whom José Oramas trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ivan Laptev
- Alex Krizhevsky
- Geoffrey E. Hinton
- Andrew Zisserman
- Andrea Vedaldi
- Kaiming He
- Ilya Sutskever
- Yann LeCun
- Cordelia Schmid
- Yoshua Bengio
Who trusts José Oramas overall
- Basura Fernando
- Stephen Gould
- Pichao Wang
- Anoop Cherian
- Hongsong Wang
- Ali Diba
- Jue Wang
- Christoph Feichtenhofer
- Hakan Bilen
- Jun Liu
Papers from José Oramas's perspective
Ordered by how strongly the researchers José Oramas 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Modeling video evolution for action recognition (2015) — 556 citations
- Rank Pooling for Action Recognition (2015) — 309 citations