Ruizhi Deng
Computer Vision and Pattern Recognition · 2018–2021
A researcher in the Science corpus: 2 papers; trusts 253 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 66 citations into it
- Artificial Intelligence — 38 citations into it
- Model Architectures — 24 citations into it
- Optimization & Training — 8 citations into it
- Media Technology — 5 citations into it
Whom Ruizhi Deng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Diederik P. Kingma
- Ross B. Girshick
- Christian Szegedy
- Karen Simonyan
- Yann LeCun
- Yoshua Bengio
- Ilya Sutskever
Who trusts Ruizhi Deng overall
Papers from Ruizhi Deng's perspective
Ordered by how strongly the researchers Ruizhi Deng 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
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Adaptive Appearance Rendering (2021)
- Sparsely Aggregated Convolutional Networks (2018) — 66 citations