Mengxiao Lin
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 1 paper; trusts 293 researchers and is trusted by 1,095 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 38 citations into it; #1,300 of 21,575 by trust here, #1,580 by citations
- Artificial Intelligence — 28 citations into it
- Efficiency & Compression — 18 citations into it; #49 of 1,264 by trust here, #79 by citations
- Model Architectures — 17 citations into it
- Optimization & Training — 7 citations into it
Whom Mengxiao Lin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- X. Zhang
- Alex Krizhevsky
- Geoffrey E. Hinton
- Ross B. Girshick
- Karen Simonyan
- Shaoqing Ren
- Yann LeCun
- Andrew Zisserman
- Ilya Sutskever
Who trusts Mengxiao Lin overall
- Jiahui Yu
- Christoph Feichtenhofer
- Bichen Wu
- Jie Hu
- Chien-Yao Wang
- Mingxing Tan
- Quoc V. Le
- Diganta Misra
- Kai Han
- Sachin Mehta
Papers from Mengxiao Lin's perspective
Ordered by how strongly the researchers Mengxiao Lin 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)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices (2017) — 8,533 citations