Tao Zeng

Computer Vision and Pattern Recognition · 2015–2017

A researcher in the Science corpus: 3 papers; trusts 98 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it
• Artificial Intelligence — 22 citations into it
• Biophysics — 11 citations into it
• Model Architectures — 9 citations into it

Whom Tao Zeng trusts overall

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

1. David G. Lowe
2. Yann LeCun
3. Christian Szegedy
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Alex Krizhevsky
7. Kaiming He
8. L. Eon Bottou
9. Andrea Vedaldi
10. Fisher Yu

Who trusts Tao Zeng overall

1. Seonwoo Min
2. Kisuk Lee
3. Alok Sharma
4. Siqi Liu
5. Byunghan Lee
6. Jonathan Zung
7. Yu Zhang
8. Serban Stan

Papers from Tao Zeng's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep convolutional neural networks for annotating gene expression patterns in the mouse brain (2015) — 63 citations
• Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis (2015) — 185 citations
• DeepEM3D: approaching human‐level performance on 3D anisotropic EM image segmentation (2017) — 91 citations