Huanyu Liu

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 405 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 81 citations into it; #21,318 of 21,575 by trust here, #11,083 by citations
• Artificial Intelligence — 24 citations into it
• Model Architectures — 9 citations into it

Whom Huanyu Liu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He
2. Ross B. Girshick
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Karen Simonyan
6. Shaoqing Ren
7. Ilya Sutskever
8. Andrew Zisserman
9. Yann LeCun
10. Yoshua Bengio

Who trusts Huanyu Liu overall

1. Huiyu Wang
2. Liang-Chieh Chen
3. Rohit Mohan
4. F. Sultana
5. Qizhu Li
6. Justin Lazarow
7. Zhuo Zheng
8. Yangxin Wu
9. Qihang Yu
10. Zewen Li

Papers from Huanyu Liu's perspective

Ordered by how strongly the researchers Huanyu Liu trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• An End-To-End Network for Panoptic Segmentation (2019) — 150 citations
• High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification (2020) — 475 citations