Xiangyang Li
Computer Vision and Pattern Recognition · with Jiang · 2016–2019
A researcher in the Science corpus: 2 papers; trusts 825 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 70 citations into it; #16,900 of 21,575 by trust here, #16,787 by citations
- Artificial Intelligence — 47 citations into it; #27,547 of 35,345 by trust here, #28,481 by citations
- Multimodal Learning — 23 citations into it
- Natural Language Processing — 23 citations into it
- Evaluation & Benchmarks — 12 citations into it
- Model Architectures — 11 citations into it
Whom Xiangyang Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- Ross B. Girshick
- Diederik P. Kingma
- Geoffrey E. Hinton
- Karen Simonyan
- Yoshua Bengio
- Alex Krizhevsky
- Kaiming He
- Ilya Sutskever
- Yann LeCun
Who trusts Xiangyang Li overall
Papers from Xiangyang Li's perspective
Ordered by how strongly the researchers Xiangyang 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- 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
- Scene Recognition with CNNs: Objects, Scales and Dataset Bias (2016) — 225 citations
- Know More Say Less: Image Captioning Based on Scene Graphs (2019) — 172 citations