Li Ma

Computer Vision and Pattern Recognition · with Crawford · 2010

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it; #11,299 of 21,575 by trust here, #16,787 by citations
• Artificial Intelligence — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Li Ma trusts overall

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

1. Christopher K. I. Williams
2. Yoshua Bengio
3. Sam T. Roweis
4. Mikhail Belkin
5. Josh Tenenbaum
6. Lawrence K. Saul
7. Jihun Ham
8. Geoffrey E. Hinton
9. Pascal Vincent
10. Partha Niyogi

Who trusts Li Ma overall

1. Gong Cheng
2. Wei Li
3. Yi Chen
4. Junwei Han
5. Qian Du
6. Nasser M. Nasrabadi
7. Alireza Norouzi

Papers from Li Ma's perspective

Ordered by how strongly the researchers Li 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Local Manifold Learning-Based $k$ -Nearest-Neighbor for Hyperspectral Image Classification (2010) — 547 citations