| 2023 | COMAD | Upsampling of Personalized HRTF for Spatial Audio Rendering: Why Deep Learning is Problematic? | Basant Pandagre, Manish Narwaria |
| 2018 | COMAD | Priority based functional group identification of organic molecules using machine learning. | Rushikesh Nalla, Rajdeep Pinge, Manish Narwaria, Bhaskar Chaudhury |
| 2015 | QoMEX | Influence of HDR reference on observers preference in tone-mapped images evaluation. | Lukas Krasula, Manish Narwaria, Karel Fliegel, Patrick Le Callet |
| 2014 | ICASSP | Stereoscopic image retargeting based on 3D saliency detection. | Junle Wang, Yuming Fang, Manish Narwaria, Weisi Lin, Patrick Le Callet |
| 2014 | QoMEX | An objective method for High Dynamic Range source content selection. | Manish Narwaria, Claire Mantel, Matthieu Perreira Da Silva, Patrick Le Callet, Sren Forchhammer |
| 2013 | ISCAS | Adaptive contrast adjustment for postprocessing of tone mapped high dynamic range images. | Manish Narwaria, Matthieu Perreira Da Silva, Patrick Le Callet, Romuald Ppion |
| 2013 | VCIP | Saliency detection for stereoscopic images. | Yuming Fang, Junle Wang, Manish Narwaria, Patrick Le Callet, Weisi Lin |
| 2011 | ICIP | Machine learning based modeling of spatial and temporal factors for video quality assessment. | Manish Narwaria, Weisi Lin |
| 2010 | MMM | Non-intrusive Speech Quality Assessment with Support Vector Regression. | Manish Narwaria, Weisi Lin, Ian Vince McLoughlin, Sabu Emmanuel, Liang-Tien Chia |
| 2010 | VCIP | Perceptual image quality assessment: recent progress and trends. | Weisi Lin, Manish Narwaria |
| 2009 | MMSP | Scalable image quality assessment based on structural vectors. | Manish Narwaria, Weisi Lin |