Hui Li

Computer Vision and Pattern Recognition · with Jia · 2015

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 5 citations into it

Whom Hui Li trusts overall

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

1. Aude Oliva
2. Vincent Lepetit
3. Trevor J. Hastie
4. Antonio Torralba

Papers from Hui Li's perspective

Ordered by how strongly the researchers Hui Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
2. Random Forests
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Distinctive Image Features from Scale-Invariant Keypoints Abstract by Matthijs Dorst Based on the paper by
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• Crater Detection Based on Gist Features (2015) — 34 citations