Ching-Nung Yang

Computer Vision and Pattern Recognition · 2004–2017

A researcher in the Science corpus: 3 papers; trusts 37 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it; #19,241 of 21,575 by trust here, #20,271 by citations

Whom Ching-Nung Yang trusts overall

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

1. Chang-Chou Lin
2. Chih-Ching Thien
3. David G. Lowe
4. Ja-Chen Lin
5. Wen-Hsiang Tsai
6. Johannes Blömer
7. Serge J. Belongie

Who trusts Ching-Nung Yang overall

1. Jung-San Lee
2. You-Ren Chen

Papers from Ching-Nung Yang's perspective

Ordered by how strongly the researchers Ching-Nung Yang 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
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. Video Google: a text retrieval approach to object matching in videos
10. Long Short-Term Memory

Their papers

• Effective and Efficient Global Context Verification for Image Copy Detection (2017) — 341 citations
• Improvements of image sharing with steganography and authentication (2007) — 313 citations
• New visual secret sharing schemes using probabilistic method (2004) — 488 citations