Zdenka Babic

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 95 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Media Technology — 7 citations into it

Whom Zdenka Babic trusts overall

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

1. Yi Yang
2. Chih-Jen Lin
3. Adam Coates
4. Anil M. Cheriyadat
5. Andrew Y. Ng
6. Shawn D. Newsam
7. Dengxin Dai
8. Geoffrey E. Hinton
9. Andrew Zisserman
10. Alex Krizhevsky

Papers from Zdenka Babic's perspective

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

Their papers

• Unsupervised Quaternion Feature Learning for Remote Sensing Image Classification (2016) — 36 citations