Mohd Fairuz Shiratuddin

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 710 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 98 citations into it
• Artificial Intelligence — 69 citations into it
• Natural Language Processing — 46 citations into it
• Multimodal Learning — 43 citations into it
• Model Architectures — 13 citations into it
• Evaluation & Benchmarks — 11 citations into it
• Natural Language Generation — 11 citations into it

Whom Mohd Fairuz Shiratuddin trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Kaiming He
5. Ross B. Girshick
6. Ilya Sutskever
7. Yann LeCun
8. Diederik P. Kingma
9. Karen Simonyan
10. Oriol Vinyals

Papers from Mohd Fairuz Shiratuddin's perspective

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

Their papers

• A Comprehensive Survey of Deep Learning for Image Captioning (2018) — 896 citations