Ajad Chhatkuli

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 170 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 55 citations into it
• Artificial Intelligence — 38 citations into it
• Model Architectures — 32 citations into it

Whom Ajad Chhatkuli trusts overall

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

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

Papers from Ajad Chhatkuli's perspective

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

Their papers

• Transformer in Convolutional Neural Networks (2021) — 71 citations