Bingbin Liu

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 112 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it
• Artificial Intelligence — 23 citations into it
• Generative Models — 18 citations into it

Whom Bingbin Liu trusts overall

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

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

Who trusts Bingbin Liu overall

1. Vincent Le Guen
2. Francesco Locatello
3. Aidan Clark
4. Guansong Pang

Papers from Bingbin Liu's perspective

Ordered by how strongly the researchers Bingbin 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
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. Going deeper with convolutions
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Learning to Decompose and Disentangle Representations for Video Prediction (2018) — 322 citations