Kai-Hsiang Lin

Computer Vision and Pattern Recognition · 2014

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

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it; #21,494 of 21,575 by trust here, #20,756 by citations

Whom Kai-Hsiang Lin trusts overall

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

1. Massimo Piccardi
2. Thierry Bouwmans
3. Ali Borji
4. Timo Ojala
5. Xiaobo Ren
6. Laurent Itti
7. Shengcai Liao
8. Matti Pietikäinen
9. Tony X. Han
10. Rajeev Rastogi

Who trusts Kai-Hsiang Lin overall

1. Sara Beery
2. Dan Morris

Papers from Kai-Hsiang Lin's perspective

Ordered by how strongly the researchers Kai-Hsiang Lin trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. ImageNet: A large-scale hierarchical image database
5. Going deeper with convolutions
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Their papers

• Foreground object detection in highly dynamic scenes using saliency (2014) — 6 citations