Saeed Hassanpour

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it
• Artificial Intelligence — 25 citations into it
• Model Architectures — 9 citations into it

Whom Saeed Hassanpour trusts overall

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

1. Kaiming He
2. Shaoqing Ren
3. X. Zhang
4. Alex Krizhevsky
5. Geoffrey E. Hinton

Papers from Saeed Hassanpour's perspective

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

Their papers

• Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks (2019) — 309 citations
• Deep neural networks for automatic detection of osteoporotic vertebral fractures on CT scans (2018) — 254 citations
• Deep Learning for Classification of Colorectal Polyps on Whole-slide Images (2017) — 307 citations