Liangpeng Zhang

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it
• Artificial Intelligence — 5 citations into it

Whom Liangpeng Zhang trusts overall

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

1. Ross B. Girshick
2. Alex Krizhevsky
3. Kaiming He
4. Geoffrey E. Hinton
5. Matthew D. Zeiler
6. Ilya Sutskever
7. Rob Fergus
8. Yann LeCun
9. Jeff Donahue
10. Shaoqing Ren

Papers from Liangpeng Zhang's perspective

Ordered by how strongly the researchers Liangpeng Zhang 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. Gradient-based learning applied to document recognition
4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Relief R-CNN: Utilizing Convolutional Features for Fast Object Detection (2016) — 7 citations