Momina Liaqat Ali

Computer Vision and Pattern Recognition · 2024

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Radiology, Nuclear Medicine and Imaging — 5 citations into it

Whom Momina Liaqat Ali trusts overall

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

1. Chien-Yao Wang
2. Songtao Liu
3. Kaiming He
4. Ross B. Girshick
5. I-Hau Yeh
6. Di Huang
7. Tsung-Yi Lin
8. Hongpeng Liao
9. Shaoqing Ren
10. Alex Krizhevsky

Papers from Momina Liaqat Ali's perspective

Ordered by how strongly the researchers Momina Liaqat Ali 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. ImageNet: A large-scale hierarchical image database
4. Going deeper with convolutions
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet Large Scale Visual Recognition Challenge
10. Long Short-Term Memory

Their papers

• The YOLO Framework: A Comprehensive Review of Evolution, Applications, and Benchmarks in Object Detection (2024) — 461 citations