Daniel C. Asmar
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 1 paper; trusts 53 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 26 citations into it
- Artificial Intelligence — 17 citations into it
- Natural Language Processing — 11 citations into it
- Model Architectures — 9 citations into it
Whom Daniel C. Asmar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Daniel C. Asmar's perspective
Ordered by how strongly the researchers Daniel C. Asmar trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- GENERATIVE ADVERSARIAL NETS
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
Their papers
- Resources and End-to-End Neural Network Models for Arabic Image Captioning (2020) — 41 citations