Qingyan Zhang

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 64 citations into it
• Automotive Engineering — 36 citations into it
• Artificial Intelligence — 31 citations into it
• Aerospace Engineering — 27 citations into it
• Signal Processing — 7 citations into it
• Environmental Engineering — 5 citations into it

Whom Qingyan Zhang trusts overall

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

1. Ross B. Girshick

Papers from Qingyan Zhang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
3. Histograms of oriented gradients for human detection
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Mask R-CNN
7. Fast R-CNN
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Long Short-Term Memory

Their papers

• Computing Systems for Autonomous Driving: State of the Art and Challenges (2020) — 396 citations