Songde Ma

Computer Vision and Pattern Recognition · 2002–2014

A researcher in the Science corpus: 4 papers; trusts 115 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it
• Artificial Intelligence — 18 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Songde Ma trusts overall

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

1. Xiaoou Tang
2. Sam T. Roweis
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yann LeCun
6. Jianchao Yang
7. Andrew Zisserman
8. Kaiming He

Papers from Songde Ma's perspective

Ordered by how strongly the researchers Songde Ma 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A nonlinear approach for face sketch synthesis and recognition (2005) — 393 citations
• Bilayer Sparse Topic Model for Scene Analysis in Imbalanced Surveillance Videos (2014) — 15 citations
• Image classification by non-negative sparse coding, low-rank and sparse decomposition (2011) — 192 citations
• Solving the small sample size problem of LDA (2002) — 304 citations