Liu Liu
Computer Vision and Pattern Recognition · with Li · 2019
A researcher in the Science corpus: 3 papers; trusts 430 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 74 citations into it; #10,752 of 21,575 by trust here, #16,787 by citations
- Aerospace Engineering — 15 citations into it; #2,393 of 6,421 by trust here, #5,830 by citations
- Media Technology — 14 citations into it
- Artificial Intelligence — 12 citations into it
- Generative Models — 11 citations into it
- Evaluation & Benchmarks — 7 citations into it
- Model Architectures — 6 citations into it
Whom Liu Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Karen Simonyan
- Geoffrey E. Hinton
- Tsung-Yi Lin
- Kaiming He
- Andrew Zisserman
- Alex Krizhevsky
- Jia Deng
- Jimmy Ba
- Yoshua Bengio
Who trusts Liu Liu overall
- Zhedong Zheng
- Sijie Zhu
- Tingyu Wang
- Taojiannan Yang
- Yunchao Wei
- Yi Yang
- Chen Chen
- Chenggang Clarence Yan
Papers from Liu Liu's perspective
Ordered by how strongly the researchers Liu Liu 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- DoveNet: Deep Image Harmonization via Domain Verification (2019) — 261 citations
- Lending Orientation to Neural Networks for Cross-View Geo-Localization (2019) — 386 citations
- Spatial-Aware Feature Aggregation for Image based Cross-View Geo-Localization (2019) — 313 citations