Ehsan Adeli

Computer Vision and Pattern Recognition · arXiv.org · 2021–2024

A researcher in the Science corpus: 3 papers; trusts 75 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 112 citations into it
• Artificial Intelligence — 65 citations into it
• Model Architectures — 26 citations into it

Whom Ehsan Adeli trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton

Papers from Ehsan Adeli's perspective

Ordered by how strongly the researchers Ehsan Adeli 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. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet: A large-scale hierarchical image database
4. ImageNet classification with deep convolutional neural networks
5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. Fully convolutional networks for semantic segmentation
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. Layer Normalization
10. Long Short-Term Memory

Their papers

• TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation (2021) — 5,990 citations
• TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers (2024) — 1,173 citations
• Medical Image Segmentation Review: The Success of U-Net (2022) — 934 citations