Zeqi Gu

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 136 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 50 citations into it
• Artificial Intelligence — 47 citations into it
• Safety, Robustness & Interpretability — 20 citations into it
• Representation & Self-Supervised Learning — 11 citations into it
• Model Architectures — 10 citations into it
• Evaluation & Benchmarks — 8 citations into it

Whom Zeqi Gu trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Christian Szegedy
5. Jia Deng
6. Yoshua Bengio
7. Yann LeCun
8. Andrew Zisserman
9. Ilya Sutskever
10. Diederik P. Kingma

Papers from Zeqi Gu's perspective

Ordered by how strongly the researchers Zeqi Gu 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. 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. ImageNet Large Scale Visual Recognition Challenge
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

• Enhancing Adversarial Example Transferability With an Intermediate Level Attack (2019) — 300 citations
• Measuring Dataset Granularity (2019) — 14 citations