Zhigang Ma
Computer Vision and Pattern Recognition · 2011–2015
A researcher in the Science corpus: 4 papers; trusts 166 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 44 citations into it; #21,484 of 21,575 by trust here, #16,367 by citations
- Artificial Intelligence — 32 citations into it; #35,133 of 35,345 by trust here, #19,873 by citations
Whom Zhigang Ma trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ivan Laptev
- Geoffrey E. Hinton
- David G. Lowe
- Andrew Zisserman
- Alex Krizhevsky
- Ruslan Salakhutdinov
- Kaiming He
- Cordelia Schmid
- Yoshua Bengio
- Diederik P. Kingma
Who trusts Zhigang Ma overall
- Yi Yang
- Zechao Li
- Yu Zhang
- Donggeun Yoo
- Feiping Nie
- Jia-Jie Zhu
- Jundong Li
- Dong Huang
- Xiaotong Zhang
Papers from Zhigang Ma's perspective
Ordered by how strongly the researchers Zhigang Ma trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Harnessing Lab Knowledge for Real-World Action Recognition (2014) — 68 citations
- Multitask Spectral Clustering by Exploring Intertask Correlation (2015) — 168 citations
- Multi-Class Active Learning by Uncertainty Sampling with Diversity Maximization (2015) — 523 citations
- - Norm Regularized Discriminative Feature Selection for Unsupervised Learning (2011)