Scalable image quality assessment based on structural vectors. - Manish Narwaria; Weisi Lin (MMSP, 2009)

Non-intrusive Speech Quality Assessment with Support Vector Regression. - Manish Narwaria; Weisi Lin; Ian Vince McLoughlin; Sabu Emmanuel; Liang-Tien Chia (MMM, 2010)

Perceptual image quality assessment: recent progress and trends. - Weisi Lin; Manish Narwaria (VCIP, 2010)

Objective image quality assessment based on support vector regression. - Manish Narwaria; Weisi Lin (IEEE Trans. Neural Networks, 2010)

Machine learning based modeling of spatial and temporal factors for video quality assessment. - Manish Narwaria; Weisi Lin (ICIP, 2011)

Video quality assessment using temporal quality variations and machine learning. - Manish Narwaria; Weisi Lin (ICME, 2011)

Scalable image quality assessment with 2D mel-cepstrum and machine learning approach. - Manish Narwaria; Weisi Lin; A. Enis Çetin (Pattern Recognit., 2012)

Nonintrusive Quality Assessment of Noise Suppressed Speech With Mel-Filtered Energies and Support Vector Regression. - Manish Narwaria; Weisi Lin; Ian Vince McLoughlin; Sabu Emmanuel; Liang-Tien Chia (IEEE Trans. Speech Audio Process., 2012)

Image Quality Assessment Based on Gradient Similarity. - Anmin Liu; Weisi Lin; Manish Narwaria (IEEE Trans. Image Process., 2012)

Fourier Transform-Based Scalable Image Quality Measure. - Manish Narwaria; Weisi Lin; Ian Vince McLoughlin; Sabu Emmanuel; Liang-Tien Chia (IEEE Trans. Image Process., 2012)

Low-Complexity Video Quality Assessment Using Temporal Quality Variations. - Manish Narwaria; Weisi Lin; Anmin Liu (IEEE Trans. Multim., 2012)

SVD-Based Quality Metric for Image and Video Using Machine Learning. - Manish Narwaria; Weisi Lin (IEEE Trans. Syst. Man Cybern. Part B, 2012)

Learning based signal quality assessment for multimedia communications - Manish Narwaria (2012)

Adaptive contrast adjustment for postprocessing of tone mapped high dynamic range images. - Manish Narwaria; Matthieu Perreira Da Silva; Patrick Le Callet; Romuald Pépion (ISCAS, 2013)

Robustness and prediction accuracy of Machine Learning for objective visual quality assessment. - Andrew Hines; Paul Kendrick; Adriaan Barri; Manish Narwaria; Judith A. Redi (EUSIPCO, 2014)

Single exposure vs tone mapped High Dynamic Range images: A study based on quality of experience. - Manish Narwaria; Matthieu Perreira Da Silva; Patrick Le Callet; Romuald Pépion (EUSIPCO, 2014)

On improving the pooling in HDR-VDP-2 towards better HDR perceptual quality assessment. - Manish Narwaria; Matthieu Perreira Da Silva; Patrick Le Callet; Romuald Pépion (Human Vision and Electronic Imaging, 2014)

Stereoscopic image retargeting based on 3D saliency detection. - Junle Wang; Yuming Fang; Manish Narwaria; Weisi Lin; Patrick Le Callet (ICASSP, 2014)

An objective method for High Dynamic Range source content selection. - Manish Narwaria; Claire Mantel; Matthieu Perreira Da Silva; Patrick Le Callet; Søren Forchhammer (QoMEX, 2014)

Tone mapping based HDR compression: Does it affect visual experience? - Manish Narwaria; Matthieu Perreira Da Silva; Patrick Le Callet; Romuald Pépion (Signal Process. Image Commun., 2014)

Saliency Detection for Stereoscopic Images. - Yuming Fang; Junle Wang; Manish Narwaria; Patrick Le Callet; Weisi Lin (IEEE Trans. Image Process., 2014)

Influence of HDR reference on observers preference in tone-mapped images evaluation. - Lukas Krasula; Manish Narwaria; Karel Fliegel; Patrick Le Callet (QoMEX, 2015)

No-reference video quality measurement: added value of machine learning. - Decebal Constantin Mocanu; Jeevan Pokhrel; Juan Pablo Garella; Janne Seppänen; Eirini Liotou; Manish Narwaria (J. Electronic Imaging, 2015)

HDR-VDP-2.2: a calibrated method for objective quality prediction of high-dynamic range and standard images. - Manish Narwaria; Rafal K. Mantiuk; Matthieu Perreira Da Silva; Patrick Le Callet (J. Electronic Imaging, 2015)

HDR-VQM: An objective quality measure for high dynamic range video. - Manish Narwaria; Matthieu Perreira Da Silva; Patrick Le Callet (Signal Process. Image Commun., 2015)

DA-IICT at MediaEval 2017: Objective Prediction of Media Interestingness. - Rashi Gupta; Manish Narwaria (MediaEval, 2017)

Preference of Experience in Image Tone-Mapping: Dataset and Framework for Objective Measures Comparison. - Lukas Krasula; Manish Narwaria; Karel Fliegel; Patrick Le Callet (IEEE J. Sel. Top. Signal Process., 2017)

Lorentzian Based Adaptive Filters for Impulsive Noise Environments. - Rajib Lochan Das; Manish Narwaria (IEEE Trans. Circuits Syst. I Regul. Pap., 2017)

Priority based functional group identification of organic molecules using machine learning. - Rushikesh Nalla; Rajdeep Pinge; Manish Narwaria; Bhaskar Chaudhury (COMAD/CODS, 2018)

Toward Better Statistical Validation of Machine Learning-Based Multimedia Quality Estimators. - Manish Narwaria (IEEE Trans. Broadcast., 2018)

Data Analysis in Multimedia Quality Assessment: Revisiting the Statistical Tests. - Manish Narwaria; Lukas Krasula; Patrick Le Callet (IEEE Trans. Multim., 2018)

The Transition From White Box to Black Box: Challenges and Opportunities in Signal Processing Education. - Manish Narwaria (IEEE Signal Process. Mag., 2021)

Interval-Based Least Squares for Uncertainty-Aware Learning in Human-Centric Multimedia Systems. - Manish Narwaria; Aditya Tatu (IEEE Trans. Neural Networks Learn. Syst., 2021)

Assessment of Machine Learning-Based Audiovisual Quality Predictors: Why Uncertainty Matters. - Mythili K.; Manish Narwaria (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Does explainable machine learning uncover the black box in vision applications? - Manish Narwaria (Image Vis. Comput., 2022)

Upsampling of Personalized HRTF for Spatial Audio Rendering: Why Deep Learning is Problematic? - Basant Pandagre; Manish Narwaria (COMAD/CODS, 2023)

Explainable Machine Learning: The Importance of a System-Centric Perspective. - Manish Narwaria (CoRR, 2023)

Explainable Machine Learning: The importance of a system-centric perspective [Lecture Notes]. - Manish Narwaria (IEEE Signal Process. Mag., 2023)

System Design [Humor]. - Manish Narwaria (IEEE Signal Process. Mag., 2023)