Zhe Liu

Computer Vision and Pattern Recognition · with Li · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Aerospace Engineering — 19 citations into it
• Artificial Intelligence — 7 citations into it
• Reinforcement Learning — 5 citations into it

Whom Zhe Liu trusts overall

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

1. Charles Ruizhongtai Qi
2. David Silver
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Kaiming He
6. Diederik P. Kingma
7. Mikaela Angelina Uy
8. Hao Su
9. Yann LeCun
10. Yoshua Bengio

Who trusts Zhe Liu overall

1. Tiange Xiang
2. Qingbiao Li

Papers from Zhe Liu's perspective

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

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

Their papers

• Mobile Robot Path Planning in Dynamic Environments Through Globally Guided Reinforcement Learning (2020) — 335 citations
• LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis (2018) — 343 citations