Q. M. Jonathan Wu

Computer Vision and Pattern Recognition · with Sun · 2017

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it

Whom Q. M. Jonathan Wu trusts overall

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

1. David G. Lowe
2. Serge J. Belongie
3. Navneet Dalal
4. David Nistér
5. Jitendra Malik

Papers from Q. M. Jonathan Wu's perspective

Ordered by how strongly the researchers Q. M. Jonathan Wu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Distinctive Image Features from Scale-Invariant Keypoints
2. Histograms of oriented gradients for human detection
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. ImageNet Large Scale Visual Recognition Challenge
8. Going deeper with convolutions
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• Effective and Efficient Global Context Verification for Image Copy Detection (2017) — 341 citations