Anil C. Kokaram
Computer Vision and Pattern Recognition · 2005–2017
A researcher in the Science corpus: 9 papers; trusts 22 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 21 citations into it; #5,940 of 21,575 by trust here, #8,122 by citations
- Signal Processing — 18 citations into it; #2,301 of 7,572 by trust here, #1,748 by citations
- Cognitive Neuroscience — 10 citations into it; #7,238 of 10,852 by trust here, #7,130 by citations
- Computational Mechanics — 9 citations into it; #3,906 of 10,001 by trust here, #2,782 by citations
- Evaluation & Benchmarks — 7 citations into it; #2,438 of 3,147 by trust here, #2,545 by citations
- Speech and Hearing — 5 citations into it
Whom Anil C. Kokaram trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Hines
- P. Loizou
- Y. Hu
- Bernard Walter Silverman
- Zhou Wang
- Naomi Harte
- Tom Welsh
- Michael Ashikhmin
- Raanan Fattal
- Patrick Pérez
Who trusts Anil C. Kokaram overall
- Andrew Hines
- Filippo Santambrogio
- Alex J. Cannon
- Stephan R. Richter
- G. Peyr'e
- Nicolas Bonnotte
- Colm Sloan
- Julien Rabin
- Tong Mo
- Chandan K. A. Reddy
Papers from Anil C. Kokaram's perspective
Ordered by how strongly the researchers Anil C. Kokaram trusts endorse each paper. Same corpus, a different order for every researcher.
- Image quality assessment: from error visibility to structural similarity
- Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs
- Speech Enhancement: Theory and Practice
- LIBSVM: A library for support vector machines
- Evaluation of Objective Quality Measures for Speech Enhancement
- Subjective comparison and evaluation of speech enhancement algorithms (Speech Communication)
- PEAQ - The ITU Standard for Objective Measurement of Perceived Audio Quality
- ViSQOL: an objective speech quality model
- ViSQOLAudio: An objective audio quality metric for low bitrate codecs.
- PEMO-Q—A New Method for Objective Audio Quality Assessment Using a Model of Auditory Perception
Their papers
- N-dimensional probability density function transfer and its application to color transfer (2005) — 400 citations
- Automated colour grading using colour distribution transfer (2007) — 460 citations
- Objective Assessment of Perceptual Audio Quality Using ViSQOLAudio (2017) — 44 citations
- Bitrate classification of twice-encoded audio using objective quality features (2016) — 3 citations
- ViSQOL: an objective speech quality model (2015) — 202 citations
- ViSQOLAudio: An objective audio quality metric for low bitrate codecs. (2015) — 55 citations
- Perceived Audio Quality for Streaming Stereo Music (2014) — 14 citations
- Robustness of speech quality metrics to background noise and network degradations: Comparing ViSQOL, PESQ and POLQA (2013) — 42 citations
- ViSQOL: The Virtual Speech Quality Objective Listener (2012) — 75 citations