N. A. Moubayed

Computer Vision and Pattern Recognition · 2020–2025

A researcher in the Science corpus: 2 papers; trusts 92 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 91 citations into it
• Artificial Intelligence — 80 citations into it
• Evaluation & Benchmarks — 26 citations into it
• Multimodal Learning — 26 citations into it
• Natural Language Processing — 17 citations into it

Whom N. A. Moubayed trusts overall

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

1. Kaiming He
2. Antonio Torralba
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Andrej Karpathy
6. Yoshua Bengio
7. Diederik P. Kingma
8. Ross B. Girshick
9. Li Fei-Fei

Papers from N. A. Moubayed's perspective

Ordered by how strongly the researchers N. A. Moubayed trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Mieb: Massive Image Embedding Benchmark (2025)
• On Modality Bias in the TVQA Dataset (2020) — 49 citations