Zekun Luo

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 51 citations into it; #21,437 of 21,575 by trust here, #3,659 by citations

Whom Zekun Luo trusts overall

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

1. Kaiming He
2. Ross B. Girshick

Who trusts Zekun Luo overall

1. Luc Van Gool

Papers from Zekun Luo's perspective

Ordered by how strongly the researchers Zekun Luo 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
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. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. Fully convolutional networks for semantic segmentation

Their papers

• Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers (2020) — 3,740 citations