Jialin Hou

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it

Whom Jialin Hou trusts overall

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

1. Yoshua Bengio

Papers from Jialin Hou's perspective

Ordered by how strongly the researchers Jialin Hou 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. Long Short-Term Memory
4. ImageNet Large Scale Visual Recognition Challenge
5. Going deeper with convolutions
6. Gradient-based learning applied to document recognition
7. This PDF file includes: Materials and Methods
8. A Fast Learning Algorithm for Deep Belief Nets
9. Fully convolutional networks for semantic segmentation
10. Visualizing and Understanding Convolutional Networks

Their papers

• A review of deep learning used in the hyperspectral image analysis for agriculture (2021) — 300 citations