Ekta Prashnani

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it
• Media Technology — 19 citations into it
• Evaluation & Benchmarks — 10 citations into it

Whom Ekta Prashnani trusts overall

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

1. Zhou Wang
2. Hamid R. Sheikh
3. A. Bovik
4. Damon M. Chandler
5. Lin Zhang
6. Nikolay N. Ponomarenko
7. Kede Ma
8. Sebastian Bosse
9. Jongyoo Kim
10. Lei Zhang

Who trusts Ekta Prashnani overall

1. Jianyi Wang
2. Keyan Ding
3. Jinjin Gu
4. Stephanie Fu
5. Chaofeng Chen
6. Kelvin C. K. Chan
7. Kede Ma

Papers from Ekta Prashnani's perspective

Ordered by how strongly the researchers Ekta Prashnani trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Image information and visual quality
6. TID2008 – A database for evaluation of full-reference visual quality assessment metrics
7. Image quality assessment: from error visibility to structural similarity
8. ImageNet: A large-scale hierarchical image database
9. Et al
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• PieAPP: Perceptual Image-Error Assessment Through Pairwise Preference (2018) — 376 citations