Daniel Y. Fu

Computer Vision and Pattern Recognition · with Arora · 2024

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

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it

Whom Daniel Y. Fu trusts overall

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

1. Tongzhou Wang
2. Jimmy Smith

Papers from Daniel Y. Fu's perspective

Ordered by how strongly the researchers Daniel Y. Fu 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT (2024)