Roy Kapon

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Generative Models — 9 citations into it

Whom Roy Kapon trusts overall

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

1. Jonathan Ho
2. Naureen Mahmood

Papers from Roy Kapon's perspective

Ordered by how strongly the researchers Roy Kapon trusts endorse each paper. Same corpus, a different order for every researcher.

1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Long Short-Term Memory
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Human Motion Diffusion as a Generative Prior (2023) — 406 citations