Jie Guo
Computer Vision and Pattern Recognition · with Guo · 2020
A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 20 citations into it; #20,157 of 21,575 by trust here, #15,955 by citations
- Artificial Intelligence — 19 citations into it
- Generative Models — 7 citations into it
- Signal Processing — 5 citations into it
Whom Jie Guo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Diederik P. Kingma
- Geoffrey E. Hinton
- Jens Behrmann
- Laurent Dinh
- Abhijit Bendale
- Yoshua Bengio
- Ya Le
- Poojan Oza
Who trusts Jie Guo overall
Papers from Jie Guo's perspective
Ordered by how strongly the researchers Jie Guo trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Learning Multiple Layers of Features from Tiny Images
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Hybrid Models for Open Set Recognition (2020) — 214 citations