Taiping Zhang

Computer Vision and Pattern Recognition · 2009–2019

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Media Technology — 8 citations into it
• Graph Learning — 5 citations into it

Whom Taiping Zhang trusts overall

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

1. John F. Canny
2. Ronen Basri
3. Ralph Gross
4. Lei Yu
5. David M. Strong
6. Haitao Wang
7. P. Jonathon Phillips
8. Baochang Zhang
9. Athinodoros S. Georghiades
10. Terrence Chen

Who trusts Taiping Zhang overall

1. Adín Ramírez Rivera
2. Abhijith Punnappurath
3. Jorge A. Rojas Castillo

Papers from Taiping Zhang's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Face Recognition Under Varying Illumination Using Gradientfaces (2009) — 427 citations
• Spectral–Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification (2019) — 333 citations