Meng Meng

Computer Vision and Pattern Recognition · with Boonaert · 2015

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it
• Human-Computer Interaction — 8 citations into it

Whom Meng Meng trusts overall

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

1. Zicheng Liu
2. Wanqing Li
3. Gang Yu
4. Bangpeng Yao
5. Jamie Shotton
6. Zhengyou Zhang
7. Li Fei-Fei

Who trusts Meng Meng overall

1. Amir Shahroudy
2. Jun Liu
3. Tian-Tsong Ng
4. G. Wang

Papers from Meng Meng's perspective

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

Their papers

• Human-object interaction recognition by learning the distances between the object and the skeleton joints (2015) — 23 citations