Keck Voon Ling

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it

Whom Keck Voon Ling trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma

Papers from Keck Voon Ling's perspective

Ordered by how strongly the researchers Keck Voon Ling 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. Learning Multiple Layers of Features from Tiny Images
3. ImageNet Large Scale Visual Recognition Challenge
4. Going deeper with convolutions
5. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
6. ImageNet classification with deep convolutional neural networks
7. Reading Digits in Natural Images with Unsupervised Feature Learning
8. Gradient-based learning applied to document recognition
9. Mask R-CNN
10. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Their papers

• Conditional Gaussian Distribution Learning for Open Set Recognition (2020) — 274 citations