Lei Li
Aerospace Engineering · with Bai · 2021
A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Aerospace Engineering — 34 citations into it
- Computer Vision and Pattern Recognition — 34 citations into it
- Geology — 18 citations into it
- Computational Mechanics — 15 citations into it
Whom Lei Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Lei Li's perspective
Ordered by how strongly the researchers Lei Li 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
- PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency (2021) — 370 citations