Si Si

Computer Vision and Pattern Recognition · with Tao · 2010–2011

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it; #6,845 of 21,575 by trust here, #9,563 by citations
• Representation & Self-Supervised Learning — 10 citations into it
• Artificial Intelligence — 7 citations into it
• Statistics and Probability — 7 citations into it

Whom Si Si trusts overall

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

1. Ken Lang
2. Sinno Jialin Pan
3. Deng Cai
4. Vladimir Naumovich Vapnik
5. R. Fisher
6. Peter N. Belhumeur
7. Xiaofei He
8. Bianca Zadrozny
9. Kari Torkkola
10. R. Caruana

Who trusts Si Si overall

1. Ming Shao
2. Mingsheng Long
3. Mingming Gong
4. Wen Zhang
5. Artem Rozantsev
6. Nicolas Courty
7. Hongfu Liu
8. Basura Fernando
9. Wouter M. Kouw
10. Yun Raymond Fu

Papers from Si Si's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Bregman Divergence-Based Regularization for Transfer Subspace Learning (2010) — 481 citations
• Distribution Calibration in Riemannian Symmetric Space (2011) — 5 citations