Borong Liang

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 237 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 67 citations into it
• Media Technology — 29 citations into it
• Artificial Intelligence — 13 citations into it
• Model Architectures — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Borong Liang trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Ross B. Girshick
6. Ilya Sutskever
7. Yann LeCun
8. Yoshua Bengio
9. Shaoqing Ren
10. Karen Simonyan

Papers from Borong Liang's perspective

Ordered by how strongly the researchers Borong Liang 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Lightweight Pyramid Networks for Image Deraining (2018) — 396 citations
• Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes (2019) — 256 citations