Qinghua Zeng

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 367 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 134 citations into it
• Artificial Intelligence — 50 citations into it
• Model Architectures — 14 citations into it

Whom Qinghua Zeng trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Piotr Doll'ar
6. Tsung-Yi Lin
7. Shaoqing Ren
8. Yoshua Bengio
9. Yann LeCun
10. Karen Simonyan

Papers from Qinghua Zeng's perspective

Ordered by how strongly the researchers Qinghua Zeng 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. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Towards Large-Scale Small Object Detection: Survey and Benchmarks (2022) — 694 citations