Ching-Yung Lin

Computer Vision and Pattern Recognition · with Chen · 2017

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it; #20,739 of 21,575 by trust here, #6,873 by citations

Whom Ching-Yung Lin trusts overall

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

1. Alex Krizhevsky

Who trusts Ching-Yung Lin overall

1. Yang He

Papers from Ching-Yung Lin's perspective

Ordered by how strongly the researchers Ching-Yung 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Learning Multiple Layers of Features from Tiny Images
6. Going deeper with convolutions
7. Distilling the Knowledge in a Neural Network (arXiv.org)
8. Caffe: Convolutional Architecture for Fast Feature Embedding
9. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
10. Long Short-Term Memory

Their papers

• NISP: Pruning Networks Using Neuron Importance Score Propagation (2017) — 883 citations