Max Qing-Hu Meng

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 53 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 — 17 citations into it
• Reinforcement Learning — 12 citations into it
• Control and Systems Engineering — 9 citations into it
• Mechanical Engineering — 5 citations into it

Whom Max Qing-Hu Meng trusts overall

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

1. Sebastian Thrun
2. Jürgen Sturm
3. Diederik P. Kingma
4. Christian Kerl
5. Kaiming He
6. Niko Sünderhauf
7. Andrews Cordolino Sobral

Papers from Max Qing-Hu Meng's perspective

Ordered by how strongly the researchers Max Qing-Hu Meng 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Fully convolutional networks for semantic segmentation
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Attention is All you Need (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Learning to Solve a Rubik’s Cube with a Dexterous Hand (2019) — 15 citations
• Neural RRT*: Learning-Based Optimal Path Planning (2020) — 513 citations
• Improving RGB-D SLAM in dynamic environments: A motion removal approach (2017) — 350 citations