Pei Guo
Computer Vision and Pattern Recognition · 2017–2018
A researcher in the Science corpus: 3 papers; trusts 561 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 115 citations into it
- Artificial Intelligence — 68 citations into it
- Model Architectures — 17 citations into it
- Safety, Robustness & Interpretability — 15 citations into it
- Optimization & Training — 14 citations into it
- Aerospace Engineering — 11 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
- Developmental Biology — 5 citations into it
Whom Pei Guo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ross B. Girshick
- Yoshua Bengio
- Christian Szegedy
- Karen Simonyan
- Ilya Sutskever
- Yann LeCun
- Andrew Zisserman
Papers from Pei Guo's perspective
Ordered by how strongly the researchers Pei Guo 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
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- 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
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Improving Fine-Grained Visual Classification using Pairwise Confusion (2017) — 93 citations
- Neural Network Interpretation via Fine Grained Textual Summarization (2018) — 10 citations
- Training with Confusion for Fine-Grained Visual Classification (2017) — 10 citations