Ali R. Khan

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it
• Biomedical Engineering — 11 citations into it

Whom Ali R. Khan trusts overall

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

1. Shiqi Yu
2. Liang Wang
3. Leslie N. Smith
4. Tsung-Yi Lin
5. Sijie Yan
6. Kaiming He
7. Tien-Ping Tan

Papers from Ali R. Khan's perspective

Ordered by how strongly the researchers Ali R. Khan 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. Microsoft COCO: Common Objects in Context
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Going deeper with convolutions
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Gaitgraph: Graph Convolutional Network for Skeleton-Based Gait Recognition (2021) — 308 citations