Liangkai Liu
Computer Vision and Pattern Recognition · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 82 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 82 citations into it
- Automotive Engineering — 39 citations into it
- Aerospace Engineering — 37 citations into it
- Artificial Intelligence — 36 citations into it
- Robotics & Control — 14 citations into it
- Signal Processing — 7 citations into it
- Environmental Engineering — 5 citations into it
Whom Liangkai Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Kaiming He
- Yann LeCun
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Andrew Zisserman
- Karen Simonyan
Papers from Liangkai Liu's perspective
Ordered by how strongly the researchers Liangkai Liu 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)
- 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
- Going deeper with convolutions
Their papers
- Edge Computing for Autonomous Driving: Opportunities and Challenges (2019) — 652 citations
- Computing Systems for Autonomous Driving: State of the Art and Challenges (2020) — 396 citations