Xiaohong Liu
Computer Vision and Pattern Recognition · with Liu · 2019–2021
A researcher in the Science corpus: 2 papers; trusts 343 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 74 citations into it; #13,504 of 21,575 by trust here, #15,529 by citations
- Media Technology — 30 citations into it; #2,059 of 3,621 by trust here, #2,178 by citations
- Artificial Intelligence — 11 citations into it
- Model Architectures — 9 citations into it
Whom Xiaohong Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Diederik P. Kingma
- Raanan Fattal
- Karen Simonyan
- Ross B. Girshick
- Geoffrey E. Hinton
- Alex Krizhevsky
- Jimmy Ba
- Andrew Zisserman
- Yoshua Bengio
Who trusts Xiaohong Liu overall
- Zewei He
- Codruta Orniana Ancuti
- Boyun Li
- Chunle Guo
- Hang Dong
- Haiyan Wu
- Yuanbiao Gou
- Zhe-ming Lu
- Cosmin Ancuți
- Qixin Yan
Papers from Xiaohong Liu's perspective
Ordered by how strongly the researchers Xiaohong 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing (2019) — 1,070 citations
- PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localization (2021) — 365 citations