Qi Liu

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

A researcher in the Science corpus: 2 papers; trusts 80 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 50 citations into it
• Computational Mechanics — 48 citations into it
• Geology — 35 citations into it
• Aerospace Engineering — 26 citations into it
• Artificial Intelligence — 20 citations into it
• 3D Vision & Pose — 14 citations into it
• Optimization & Training — 7 citations into it

Whom Qi Liu trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Radu Bogdan Rusu
4. Alex Krizhevsky
5. Charles Ruizhongtai Qi
6. Kaiming He
7. Yann LeCun
8. Sepp Hochreiter
9. Yoshua Bengio
10. Ilya Sutskever

Papers from Qi Liu's perspective

Ordered by how strongly the researchers Qi 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Unsupervised Point Cloud Pre-training via Occlusion Completion (2020) — 336 citations
• Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution (2018) — 75 citations