Libin Liu

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 218 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 68 citations into it
• Artificial Intelligence — 31 citations into it
• Computational Mechanics — 12 citations into it
• 3D Vision & Pose — 9 citations into it
• Control and Systems Engineering — 6 citations into it

Whom Libin Liu trusts overall

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

1. Kaiming He
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Michael J. Black
5. Alex Krizhevsky
6. Diederik P. Kingma
7. Ross B. Girshick
8. Yann LeCun
9. Ilya Sutskever
10. Andrew Zisserman

Papers from Libin Liu's perspective

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

Their papers

• MotionBERT: A Unified Perspective on Learning Human Motion Representations (2022) — 371 citations