Ming Liu

Computer Vision and Pattern Recognition · with Ma · 2024

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 — 27 citations into it
• Artificial Intelligence — 15 citations into it
• Media Technology — 14 citations into it
• Model Architectures — 8 citations into it

Whom Ming Liu trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Evan Shelhamer
5. Ross B. Girshick
6. Diederik P. Kingma
7. Yoshua Bengio
8. Yann LeCun
9. Philipp Krahenbuhl

Papers from Ming Liu's perspective

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

Their papers

• A Multilevel Multimodal Fusion Transformer for Remote Sensing Semantic Segmentation (2024) — 299 citations