Zhongyang Huang

Computer Vision and Pattern Recognition · 2011–2015

A researcher in the Science corpus: 2 papers; trusts 163 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 48 citations into it
• Artificial Intelligence — 17 citations into it

Whom Zhongyang Huang trusts overall

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

1. David G. Lowe
2. Jitendra Malik
3. Antonio Torralba
4. Geoffrey E. Hinton
5. Ross B. Girshick
6. Alex Krizhevsky
7. Pedro F. Felzenszwalb
8. Pablo Arbeláez
9. Kaiming He
10. Navneet Dalal

Papers from Zhongyang Huang's perspective

Ordered by how strongly the researchers Zhongyang Huang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Histograms of oriented gradients for human detection
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Contextualizing Object Detection and Classification (2015) — 42 citations
• Multi-task low-rank affinity pursuit for image segmentation (2011) — 220 citations