Fahad Lateef

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 1,329 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 147 citations into it
• Artificial Intelligence — 63 citations into it
• Model Architectures — 26 citations into it
• Aerospace Engineering — 16 citations into it
• Evaluation & Benchmarks — 16 citations into it
• Efficiency & Compression — 7 citations into it
• Media Technology — 6 citations into it
• 3D Vision & Pose — 5 citations into it

Whom Fahad Lateef trusts overall

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

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

Who trusts Fahad Lateef overall

1. Yuxiang Sun
2. H. Wang

Papers from Fahad Lateef's perspective

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

Their papers

• Survey on semantic segmentation using deep learning techniques (2019) — 525 citations