Wanceng Zhang

Computer Vision and Pattern Recognition · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it

Whom Wanceng Zhang trusts overall

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

1. Pedro F. Felzenszwalb
2. David G. Lowe
3. Navneet Dalal
4. Sheng Xu
5. Ross B. Girshick
6. Dan Huttenlocher
7. Rob Fergus
8. David A. McAllester
9. Bill Triggs
10. Andrew Zisserman

Who trusts Wanceng Zhang overall

1. Weixun Zhou
2. Gong Cheng
3. Shawn D. Newsam

Papers from Wanceng Zhang's perspective

Ordered by how strongly the researchers Wanceng Zhang 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. Histograms of oriented gradients for human detection
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Going deeper with convolutions
7. ImageNet Large Scale Visual Recognition Challenge
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 generic discriminative part-based model for geospatial object detection in optical remote sensing images (2015) — 53 citations
• Object Detection in High-Resolution Remote Sensing Images Using Rotation Invariant Parts Based Model (2014) — 125 citations