Chun-Chet Tan

Computer Vision and Pattern Recognition · with Jiang · 2011

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it; #12,934 of 21,575 by trust here, #17,757 by citations

Whom Chun-Chet Tan trusts overall

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

1. Ivan Laptev
2. David G. Lowe
3. Cordelia Schmid
4. Marcin Marszalek
5. Cees G. M. Snoek

Who trusts Chun-Chet Tan overall

1. Marcus Rohrbach
2. Jeff Donahue
3. Makarand Tapaswi
4. Yu-Gang Jiang
5. Lisa Anne Hendricks
6. Martin Bäuml
7. Anna Rohrbach
8. Subhabrata Bhattacharya
9. Subhashini Venugopalan
10. Wei Qiu

Papers from Chun-Chet Tan's perspective

Ordered by how strongly the researchers Chun-Chet Tan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Distinctive Image Features from Scale-Invariant Keypoints
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Going deeper with convolutions
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Towards textually describing complex video contents with audio-visual concept classifiers (2011) — 43 citations