Yong Li
Computer Vision and Pattern Recognition · with Bao · 2019–2020
A researcher in the Science corpus: 3 papers; trusts 488 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 111 citations into it; #21,146 of 21,575 by trust here, #10,677 by citations
- Artificial Intelligence — 40 citations into it
- Model Architectures — 19 citations into it
- Experimental and Cognitive Psychology — 10 citations into it
- Evaluation & Benchmarks — 6 citations into it
Whom Yong Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ross B. Girshick
- Karen Simonyan
- Yoshua Bengio
- Yann LeCun
- Diederik P. Kingma
- Ilya Sutskever
- Andrew Zisserman
Who trusts Yong Li overall
Papers from Yong Li's perspective
Ordered by how strongly the researchers Yong Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- 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)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Scene Segmentation With Dual Relation-Aware Attention Network (2020) — 248 citations
- Adaptive Context Network for Scene Parsing (2019) — 149 citations
- Occlusion Aware Facial Expression Recognition Using CNN With Attention Mechanism (2019) — 796 citations