Guozhong Luo
Computer Vision and Pattern Recognition · 2017–2022
A researcher in the Science corpus: 3 papers; trusts 637 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 120 citations into it; #6,165 of 21,575 by trust here, #4,212 by citations
- Artificial Intelligence — 74 citations into it
- Model Architectures — 48 citations into it
- Efficiency & Compression — 15 citations into it
- Optimization & Training — 8 citations into it
Whom Guozhong Luo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Ross B. Girshick
- Christian Szegedy
- Sergey Ioffe
- Ilya Sutskever
- Karen Simonyan
- Yoshua Bengio
- Yann LeCun
Who trusts Guozhong Luo overall
Papers from Guozhong Luo's perspective
Ordered by how strongly the researchers Guozhong Luo 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Large Kernel Matters — Improve Semantic Segmentation by Global Convolutional Network (2017) — 1,617 citations
- Shuffle Transformer: Rethinking Spatial Shuffle for Vision Transformer (2021) — 214 citations
- TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation (2022) — 301 citations