Q. Meng
Computer Vision and Pattern Recognition · with He · 2020
A researcher in the Science corpus: 2 papers; trusts 235 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 51 citations into it
- Artificial Intelligence — 19 citations into it
- Model Architectures — 9 citations into it
- Industrial and Manufacturing Engineering — 6 citations into it
- Media Technology — 6 citations into it
Whom Q. Meng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- Shaoqing Ren
- Karen Simonyan
- Yann LeCun
- Ilya Sutskever
- Evan Shelhamer
Papers from Q. Meng's perspective
Ordered by how strongly the researchers Q. Meng 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)
- Gradient-based learning applied to document recognition
- 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions