Wei Mao

Computer Vision and Pattern Recognition · IEEE International Conference on Computer Vision · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 248 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 52 citations into it
• Artificial Intelligence — 17 citations into it
• 3D Vision & Pose — 12 citations into it
• Model Architectures — 12 citations into it
• Control and Systems Engineering — 9 citations into it
• Aerospace Engineering — 8 citations into it
• Computer Graphics and Computer-Aided Design — 6 citations into it
• Graph Learning — 6 citations into it

Whom Wei Mao trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Jimmy Ba
5. Yoshua Bengio
6. Michael J. Black
7. Alex Krizhevsky
8. Kaiming He
9. Yann LeCun
10. Karen Simonyan

Who trusts Wei Mao overall

1. Jianrong Zhang
2. Omid Taheri
3. Emre Aksan
4. Maosen Li
5. Yangsong Zhang
6. Ye Yuan
7. Vasileios Choutas
8. Peng Cao
9. Miaomiao Liu
10. Xiaodong Cun

Papers from Wei Mao's perspective

Ordered by how strongly the researchers Wei Mao 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Learning Trajectory Dependencies for Human Motion Prediction (2019) — 559 citations
• Cost Volume Pyramid Based Depth Inference for Multi-View Stereo (2019) — 414 citations
• History Repeats Itself: Human Motion Prediction via Motion Attention (2020) — 361 citations