Qingzhou Mao
Computer Vision and Pattern Recognition · 2012
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 6 citations into it
Whom Qingzhou Mao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Qingzhou Mao's perspective
Ordered by how strongly the researchers Qingzhou Mao trusts endorse each paper. Same corpus, a different order for every researcher.
- A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
- Entropy Minimization for Shadow Removal (International Journal of Computer Vision)
- Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
- A Threshold Selection Method from Gray-Level Histograms
- Automatic road crack segmentation using entropy and image dynamic thresholding (European Signal Processing Conference)
- A Computational Framework for Segmentation and Grouping
- On the removal of shadows from images (IEEE Transactions on Pattern Analysis and Machine Intelligence)
- A Computational Approach to Edge Detection
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- CrackTree: Automatic crack detection from pavement images (2012) — 1,073 citations