Saad Ullah Akram

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 150 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it
• Artificial Intelligence — 18 citations into it

Whom Saad Ullah Akram trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Piotr Doll'ar
4. Wei David Liu
5. Alex Krizhevsky
6. Geoffrey E. Hinton
7. Shaoqing Ren
8. Yann LeCun
9. Paul A. Viola
10. Yoshua Bengio

Papers from Saad Ullah Akram's perspective

Ordered by how strongly the researchers Saad Ullah Akram 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
7. ImageNet Large Scale Visual Recognition Challenge
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Long Short-Term Memory

Their papers

• Pedestrian Detection: The Elephant In The Room (2020) — 27 citations