Jinbao Zhang

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it
• Artificial Intelligence — 24 citations into it
• Information Systems — 8 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Jinbao Zhang trusts overall

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

1. Peter J. Rousseeuw
2. Chih-Jen Lin

Papers from Jinbao Zhang's perspective

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

1. LIBSVM: A library for support vector machines
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Latent Dirichlet Allocation
5. Gradient-based learning applied to document recognition
6. Random Forests
7. Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• A human-machine adversarial scoring framework for urban perception assessment using street-view images (2019) — 384 citations
• The relationship between visual enclosure for neighbourhood street walkability and elders’ mental health in China: Using street view images (2019) — 190 citations
• Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model (2017) — 458 citations
• Classifying urban land use by integrating remote sensing and social media data (2017) — 328 citations