Nicholas Kong

Computer Vision and Pattern Recognition · 2009–2018

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it; #18,066 of 21,575 by trust here, #16,367 by citations
• Artificial Intelligence — 14 citations into it
• Sociology and Political Science — 5 citations into it

Whom Nicholas Kong trusts overall

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

1. Jock D. Mackinlay
2. Jeffrey Heer
3. Michael Bostock
4. Navneet Dalal
5. Corinna Cortes
6. Carlo Tomasi
7. Adam Coates

Who trusts Nicholas Kong overall

1. Zuguang Gu
2. Kushal Kafle
3. Alexander Lex

Papers from Nicholas Kong's perspective

Ordered by how strongly the researchers Nicholas Kong trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. Histograms of oriented gradients for human detection
3. Support-Vector Networks
4. An Analysis of Single-Layer Networks in Unsupervised Feature Learning
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. ImageNet classification with deep convolutional neural networks
7. Gradient-based learning applied to document recognition
8. Polaris: a system for query, analysis and visualization of multi-dimensional relational databases (IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings)
9. Automating the design of graphical presentations of relational information
10. The Visual Display of Quantitative Information

Their papers

• APPLIED FEDERATED LEARNING: IMPROVING GOOGLE KEYBOARD QUERY SUGGESTIONS (2018) — 715 citations
• ReVision: automated classification, analysis and redesign of chart images (2011) — 333 citations
• Sizing the horizon: the effects of chart size and layering on the graphical perception of time series visualizations (2009) — 366 citations