Hong Lin

Computer Vision and Pattern Recognition · with Hao · 2015

A researcher in the Science corpus: 1 paper; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it

Whom Hong Lin trusts overall

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

1. Ivan Laptev
2. Yurii E. Nesterov

Papers from Hong Lin's perspective

Ordered by how strongly the researchers Hong Lin 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. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
4. Gradient-based learning applied to document recognition
5. Object Detection with Discriminatively Trained Part Based Models
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Going deeper with convolutions
9. ImageNet: A large-scale hierarchical image database
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Single/multi-view human action recognition via regularized multi-task learning (2015) — 56 citations