Bing Zhou

Computer Vision and Pattern Recognition · with Zhang · 2020

A researcher in the Science corpus: 2 papers; trusts 79 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 55 citations into it
• Artificial Intelligence — 39 citations into it
• Safety, Risk, Reliability and Quality — 7 citations into it

Whom Bing Zhou trusts overall

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

1. Karen Simonyan
2. Vishwanath A. Sindagi

Papers from Bing Zhou's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Densely Connected Convolutional Networks
6. Object Detection with Discriminatively Trained Part Based Models
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Their papers

• Learning Multi-Level Density Maps for Crowd Counting (2020) — 59 citations
• Attention Scaling for Crowd Counting (2020) — 307 citations