Naveed Muhammad

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 74 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 69 citations into it
• Artificial Intelligence — 47 citations into it
• Automotive Engineering — 44 citations into it
• Reinforcement Learning — 26 citations into it
• Computational Mechanics — 5 citations into it

Whom Naveed Muhammad trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Ronald J. Williams
5. Diederik P. Kingma
6. Richard S. Sutton
7. Yann LeCun
8. Ross B. Girshick
9. Yoshua Bengio
10. Ilya Sutskever

Papers from Naveed Muhammad's perspective

Ordered by how strongly the researchers Naveed Muhammad 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A Survey of End-to-End Driving: Architectures and Training Methods (2020) — 323 citations