Meng Liu

Computer Vision and Pattern Recognition · with Li · 2020

A researcher in the Science corpus: 1 paper; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it

Whom Meng Liu trusts overall

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

1. Tsung-Yi Lin
2. Geoffrey E. Hinton
3. Christian Szegedy
4. Kaiming He
5. Alex Krizhevsky
6. Ross B. Girshick
7. Tao Xu
8. Diederik P. Kingma
9. Yoshua Bengio
10. Yann LeCun

Papers from Meng Liu's perspective

Ordered by how strongly the researchers Meng Liu 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Microsoft COCO: Common Objects in Context
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• KT-GAN: Knowledge-Transfer Generative Adversarial Network for Text-to-Image Synthesis (2020) — 74 citations