Zhenmin Tang

Computer Vision and Pattern Recognition · 2013–2021

A researcher in the Science corpus: 2 papers; trusts 158 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 57 citations into it
• Artificial Intelligence — 31 citations into it
• Representation & Self-Supervised Learning — 13 citations into it

Whom Zhenmin Tang trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Yoshua Bengio
5. Brian Kulis
6. Antonio Torralba
7. Yann LeCun
8. Ross B. Girshick
9. Diederik P. Kingma
10. Ilya Sutskever

Papers from Zhenmin Tang's perspective

Ordered by how strongly the researchers Zhenmin Tang 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. Microsoft COCO: Common Objects in Context
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Inductive Hashing on Manifolds (2013) — 36 citations
• Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation (2021) — 220 citations