Ruiyu Li
Computer Vision and Pattern Recognition · 2018–2020
A researcher in the Science corpus: 3 papers; trusts 501 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 105 citations into it; #21,566 of 21,575 by trust here, #13,542 by citations
- Artificial Intelligence — 81 citations into it
- Model Architectures — 24 citations into it
- Representation & Self-Supervised Learning — 13 citations into it
- Efficiency & Compression — 11 citations into it
- Optimization & Training — 7 citations into it
- Media Technology — 6 citations into it
Whom Ruiyu Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Karen Simonyan
- Diederik P. Kingma
- Ross B. Girshick
- Ilya Sutskever
- Yoshua Bengio
- Andrew Zisserman
- Yann LeCun
Who trusts Ruiyu Li overall
Papers from Ruiyu Li's perspective
Ordered by how strongly the researchers Ruiyu Li trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Prior Guided Feature Enrichment Network for Few-Shot Segmentation (2020) — 723 citations
- Fast and Practical Neural Architecture Search (2019) — 69 citations
- Referring Image Segmentation via Recurrent Refinement Networks (2018) — 294 citations