Hamid Krim

Computer Vision and Pattern Recognition · 2009–2018

A researcher in the Science corpus: 3 papers; trusts 302 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 — 43 citations into it
• Model Architectures — 22 citations into it
• Optimization & Training — 9 citations into it
• Generative Models — 8 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Hamid Krim trusts overall

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

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

Papers from Hamid Krim's perspective

Ordered by how strongly the researchers Hamid Krim 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Cross-Modality Distillation: A Case for Conditional Generative Adversarial Networks (2018) — 37 citations
• AOGNets: Deep AND-OR Grammar Networks for Visual Recognition (2017) — 10 citations
• A Shearlet Approach to Edge Analysis and Detection (2009) — 342 citations