Duc Tung Dinh

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it; #15,862 of 21,575 by trust here, #16,367 by citations

Whom Duc Tung Dinh trusts overall

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

1. Sergey Ioffe
2. Chris Stauffer
3. Olivier Barnich
4. Marc Van Droogenbroeck
5. Marc Braham
6. Arthur P. Dempster
7. Ahmed M. Elgammal
8. Pierre-Luc St-Charles
9. Martin Hofmann
10. Kyungnam Kim

Who trusts Duc Tung Dinh overall

1. Thierry Bouwmans
2. Muhamad Risqi U. Saputra
3. L. Dang

Papers from Duc Tung Dinh's perspective

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

1. Non-parametric Model for Background Subtraction (European Conference on Computer Vision)
2. Background Subtraction (Encyclopedia of Biometrics)
3. ViBe: A Universal Background Subtraction Algorithm for Video Sequences (IEEE Transactions on Image Processing)
4. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
5. Gradient-based learning applied to document recognition
6. Real-time foreground-background segmentation using codebook model (Real-time imaging)
7. SuBSENSE: A Universal Change Detection Method With Local Adaptive Sensitivity
8. Going deeper with convolutions
9. CDnet 2014: An Expanded Change Detection Benchmark Dataset (2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops)
10. ImageNet classification with deep convolutional neural networks

Their papers

• A Deep Convolutional Neural Network for Background Subtraction (2017) — 88 citations
• A deep convolutional neural network for video sequence background subtraction (2018) — 381 citations