Anish Mittal
Computer Vision and Pattern Recognition · 2011–2016
A researcher in the Science corpus: 6 papers; trusts 31 researchers and is trusted by 218 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 67 citations into it; #2,422 of 21,575 by trust here, #2,688 by citations
- Media Technology — 49 citations into it; #76 of 3,621 by trust here, #148 by citations
- Evaluation & Benchmarks — 22 citations into it; #425 of 3,147 by trust here, #997 by citations
Whom Anish Mittal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- A. Bovik
- Hamid R. Sheikh
- Anush K. Moorthy
- Zhou Wang
- Daniel L. Ruderman
- Chih-Jen Lin
- Eero P. Simoncelli
- Michele A. Saad
- Salvador Gabarda
- Radford M. Neal
Who trusts Anish Mittal overall
- Ke Gu
- A. Bovik
- Kede Ma
- Jari Korhonen
- Jongyoo Kim
- Deepti Ghadiyaram
- Guangtao Zhai
- Yochai Blau
- Zeina Sinno
- Codruta Orniana Ancuti
Papers from Anish Mittal's perspective
Ordered by how strongly the researchers Anish Mittal trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Image quality assessment: from error visibility to structural similarity
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Making a “Completely Blind” Image Quality Analyzer (2013) — 6,568 citations
- No-Reference Image Quality Assessment in the Spatial Domain (2012) — 5,860 citations
- Blind/Referenceless Image Spatial Quality Evaluator (2011) — 417 citations
- A Completely Blind Video Integrity Oracle (2016) — 361 citations
- Subjective evaluation of stereoscopic image quality (2013) — 303 citations
- Objective quality assessment of multiply distorted images (2012) — 335 citations