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ORCIDManish Narwaria
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2020 – today
- 2023
[j22]Manish Narwaria
:
Explainable Machine Learning: The importance of a system-centric perspective [Lecture Notes]. IEEE Signal Process. Mag. 40(2): 165-172 (2023)- [j21]Manish Narwaria:
System Design [Humor]. IEEE Signal Process. Mag. 40(6): 99 (2023) - [c16]Basant Pandagre, Manish Narwaria:
Upsampling of Personalized HRTF for Spatial Audio Rendering: Why Deep Learning is Problematic? COMAD/CODS 2023: 274-275 - [i3]Manish Narwaria:
Explainable Machine Learning: The Importance of a System-Centric Perspective. CoRR abs/2302.02347 (2023) - 2022
- [j20]Manish Narwaria:
Does explainable machine learning uncover the black box in vision applications? Image Vis. Comput. 118: 104353 (2022) - 2021
- [j19]Manish Narwaria:
The Transition From White Box to Black Box: Challenges and Opportunities in Signal Processing Education. IEEE Signal Process. Mag. 38(3): 163-173 (2021) - [j18]Manish Narwaria, Aditya Tatu:
Interval-Based Least Squares for Uncertainty-Aware Learning in Human-Centric Multimedia Systems. IEEE Trans. Neural Networks Learn. Syst. 32(11): 5241-5246 (2021) - [j17]Mythili K., Manish Narwaria:
Assessment of Machine Learning-Based Audiovisual Quality Predictors: Why Uncertainty Matters. ACM Trans. Multim. Comput. Commun. Appl. 17(2): 45:1-45:22 (2021) - [i2]Manish Narwaria:
Does Explainable Machine Learning Uncover the Black Box in Vision Applications? CoRR abs/2112.09898 (2021)
2010 – 2019
- 2018
- [j16]Manish Narwaria:
Toward Better Statistical Validation of Machine Learning-Based Multimedia Quality Estimators. IEEE Trans. Broadcast. 64(2): 446-460 (2018) - [j15]Manish Narwaria, Lukas Krasula, Patrick Le Callet:
Data Analysis in Multimedia Quality Assessment: Revisiting the Statistical Tests. IEEE Trans. Multim. 20(8): 2063-2072 (2018) - [c15]Rushikesh Nalla, Rajdeep Pinge, Manish Narwaria, Bhaskar Chaudhury:
Priority based functional group identification of organic molecules using machine learning. COMAD/CODS 2018: 201-209 - 2017
- [j14]Lukas Krasula, Manish Narwaria, Karel Fliegel, Patrick Le Callet:
Preference of Experience in Image Tone-Mapping: Dataset and Framework for Objective Measures Comparison. IEEE J. Sel. Top. Signal Process. 11(1): 64-74 (2017) - [j13]Rajib Lochan Das, Manish Narwaria:
Lorentzian Based Adaptive Filters for Impulsive Noise Environments. IEEE Trans. Circuits Syst. I Regul. Pap. 64-I(6): 1529-1539 (2017) - [c14]Rashi Gupta, Manish Narwaria:
DA-IICT at MediaEval 2017: Objective Prediction of Media Interestingness. MediaEval 2017 - [i1]Manish Narwaria, Lukas Krasula, Patrick Le Callet:
Data Analysis in Multimedia Quality Assessment: Revisiting the Statistical Tests. CoRR abs/1706.00291 (2017) - 2015
- [j12]Manish Narwaria, Rafal K. Mantiuk, Matthieu Perreira Da Silva, Patrick Le Callet:
HDR-VDP-2.2: a calibrated method for objective quality prediction of high-dynamic range and standard images. J. Electronic Imaging 24(1): 010501 (2015) - [j11]Decebal Constantin Mocanu, Jeevan Pokhrel, Juan Pablo Garella, Janne Seppänen, Eirini Liotou, Manish Narwaria:
No-reference video quality measurement: added value of machine learning. J. Electronic Imaging 24(6): 061208 (2015) - [j10]Manish Narwaria, Matthieu Perreira Da Silva, Patrick Le Callet:
HDR-VQM: An objective quality measure for high dynamic range video. Signal Process. Image Commun. 35: 46-60 (2015) - [c13]Lukas Krasula, Manish Narwaria, Karel Fliegel, Patrick Le Callet:
Influence of HDR reference on observers preference in tone-mapped images evaluation. QoMEX 2015: 1-6 - 2014
- [j9]Manish Narwaria, Matthieu Perreira Da Silva, Patrick Le Callet, Romuald Pépion:
Tone mapping based HDR compression: Does it affect visual experience? Signal Process. Image Commun. 29(2): 257-273 (2014) - [j8]Yuming Fang, Junle Wang, Manish Narwaria, Patrick Le Callet, Weisi Lin:
Saliency Detection for Stereoscopic Images. IEEE Trans. Image Process. 23(6): 2625-2636 (2014) - [c12]Andrew Hines, Paul Kendrick, Adriaan Barri, Manish Narwaria, Judith A. Redi:
Robustness and prediction accuracy of Machine Learning for objective visual quality assessment. EUSIPCO 2014: 2130-2134 - [c11]Manish Narwaria, Matthieu Perreira Da Silva, Patrick Le Callet, Romuald Pépion:
Single exposure vs tone mapped High Dynamic Range images: A study based on quality of experience. EUSIPCO 2014: 2140-2144 - [c10]Manish Narwaria, Matthieu Perreira Da Silva, Patrick Le Callet, Romuald Pépion:
On improving the pooling in HDR-VDP-2 towards better HDR perceptual quality assessment. Human Vision and Electronic Imaging 2014: 90140N - [c9]Junle Wang, Yuming Fang, Manish Narwaria, Weisi Lin, Patrick Le Callet:
Stereoscopic image retargeting based on 3D saliency detection. ICASSP 2014: 669-673 - [c8]Manish Narwaria, Claire Mantel, Matthieu Perreira Da Silva, Patrick Le Callet, Søren Forchhammer:
An objective method for High Dynamic Range source content selection. QoMEX 2014: 13-18 - 2013
- [c7]Manish Narwaria, Matthieu Perreira Da Silva, Patrick Le Callet, Romuald Pépion:
Adaptive contrast adjustment for postprocessing of tone mapped high dynamic range images. ISCAS 2013: 1103-1106 - [c6]Yuming Fang, Junle Wang, Manish Narwaria, Patrick Le Callet, Weisi Lin:
Saliency detection for stereoscopic images. VCIP 2013: 1-6 - 2012
- [b1]Manish Narwaria:
Learning based signal quality assessment for multimedia communications. Nanyang Technological University, Singapore, 2012 - [j7]Manish Narwaria, Weisi Lin, A. Enis Çetin:
Scalable image quality assessment with 2D mel-cepstrum and machine learning approach. Pattern Recognit. 45(1): 299-313 (2012) - [j6]Manish Narwaria, Weisi Lin, Ian Vince McLoughlin, Sabu Emmanuel, Liang-Tien Chia:
Nonintrusive Quality Assessment of Noise Suppressed Speech With Mel-Filtered Energies and Support Vector Regression. IEEE Trans. Speech Audio Process. 20(4): 1217-1232 (2012) - [j5]Anmin Liu, Weisi Lin, Manish Narwaria:
Image Quality Assessment Based on Gradient Similarity. IEEE Trans. Image Process. 21(4): 1500-1512 (2012) - [j4]Manish Narwaria, Weisi Lin, Ian Vince McLoughlin, Sabu Emmanuel, Liang-Tien Chia:
Fourier Transform-Based Scalable Image Quality Measure. IEEE Trans. Image Process. 21(8): 3364-3377 (2012) - [j3]Manish Narwaria, Weisi Lin, Anmin Liu:
Low-Complexity Video Quality Assessment Using Temporal Quality Variations. IEEE Trans. Multim. 14(3-1): 525-535 (2012) - [j2]Manish Narwaria, Weisi Lin:
SVD-Based Quality Metric for Image and Video Using Machine Learning. IEEE Trans. Syst. Man Cybern. Part B 42(2): 347-364 (2012) - 2011
- [c5]Manish Narwaria, Weisi Lin:
Machine learning based modeling of spatial and temporal factors for video quality assessment. ICIP 2011: 2513-2516 - [c4]Manish Narwaria, Weisi Lin:
Video quality assessment using temporal quality variations and machine learning. ICME 2011: 1-6 - 2010
- [j1]Manish Narwaria, Weisi Lin:
Objective image quality assessment based on support vector regression. IEEE Trans. Neural Networks 21(3): 515-519 (2010) - [c3]Manish Narwaria, Weisi Lin, Ian Vince McLoughlin, Sabu Emmanuel, Liang-Tien Chia:
Non-intrusive Speech Quality Assessment with Support Vector Regression. MMM 2010: 325-335 - [c2]Weisi Lin, Manish Narwaria:
Perceptual image quality assessment: recent progress and trends. VCIP 2010: 774403
2000 – 2009
Coauthor Index
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