Michele A. Saad
Computer Vision and Pattern Recognition · 2010–2016
A researcher in the Science corpus: 4 papers; trusts 25 researchers and is trusted by 74 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 45 citations into it; #3,196 of 21,575 by trust here, #5,711 by citations
- Media Technology — 30 citations into it; #171 of 3,621 by trust here, #463 by citations
- Evaluation & Benchmarks — 12 citations into it
- Cognitive Neuroscience — 9 citations into it
- Signal Processing — 6 citations into it
Whom Michele A. Saad trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- A. Bovik
- Zhou Wang
- Anush K. Moorthy
- Eero P. Simoncelli
- Kalpana Seshadrinathan
- Hamid R. Sheikh
- Rajiv Soundararajan
- David J. Heeger
- Alexandros Karatzoglou
- Damon M. Chandler
Who trusts Michele A. Saad overall
- A. Bovik
- Ke Gu
- Yochai Blau
- Jongyoo Kim
- Jari Korhonen
- Wufeng Xue
- Anish Mittal
- Lei Zhang
- Kede Ma
- Zhengzhong Tu
Papers from Michele A. Saad's perspective
Ordered by how strongly the researchers Michele A. Saad trusts endorse each paper. Same corpus, a different order for every researcher.
- Image quality assessment: from error visibility to structural similarity
- An information fidelity criterion for image quality assessment using natural scene statistics
- ImageNet classification with deep convolutional neural networks
- A model of neuronal responses in visual area MT.
- Image information and visual quality
- Multiscale structural similarity for image quality assessment
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Video quality assessment based on structural distortion measurement
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Blind Image Quality Assessment: A Natural Scene Statistics Approach in the DCT Domain (2012) — 1,735 citations
- A DCT Statistics-Based Blind Image Quality Index (2010) — 413 citations
- A Completely Blind Video Integrity Oracle (2016) — 361 citations
- Blind Prediction of Natural Video Quality (2014) — 479 citations