Weijing Shi
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 1 paper; trusts 180 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 16 citations into it; #7,937 of 21,575 by trust here, #14,151 by citations
- Aerospace Engineering — 12 citations into it
- Computational Mechanics — 8 citations into it; #2,879 of 10,001 by trust here, #4,937 by citations
- Geology — 6 citations into it
- Environmental Engineering — 5 citations into it
Whom Weijing Shi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Charles Ruizhongtai Qi
- Kaiming He
- Yin Zhou
- Andreas Geiger
- Geoffrey E. Hinton
- Ross B. Girshick
- Hao Su
- Binh Yang
- Alex Krizhevsky
- Raquel Urtasun
Who trusts Weijing Shi overall
- Savannah Thais
- Wu Zheng
- Rui Qian
- Guoguang Du
- Xuran Pan
- Gage DeZoort
- Weiliang Tang
- Xin Lai
- Kai Wang
- Li Jiang
Papers from Weijing Shi's perspective
Ordered by how strongly the researchers Weijing Shi trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud (2020) — 921 citations