Yasar Abbas Ur Rehman

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 508 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 65 citations into it
• Artificial Intelligence — 41 citations into it
• Model Architectures — 25 citations into it
• Optimization & Training — 11 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Yasar Abbas Ur Rehman trusts overall

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

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

Papers from Yasar Abbas Ur Rehman's perspective

Ordered by how strongly the researchers Yasar Abbas Ur Rehman 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
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

• Large Separable Kernel Attention: Rethinking the Large Kernel Attention Design in CNN (2023) — 536 citations