Phi Hung Le

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 72 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Aerospace Engineering — 11 citations into it

Whom Phi Hung Le trusts overall

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

1. Alex Krizhevsky
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Liefeng Bo
5. Kevin Lai
6. Ilya Sutskever
7. Kaiming He
8. Piotr Doll'ar

Papers from Phi Hung Le's perspective

Ordered by how strongly the researchers Phi Hung Le 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. ImageNet: A large-scale hierarchical image database
6. Microsoft COCO: Common Objects in Context
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Long Short-Term Memory

Their papers

• Multiview RGB-D Dataset for Object Instance Detection (2016) — 90 citations