| Color naming across languages reflects color use E Gibson, R Futrell, J Jara-Ettinger, K Mahowald, L Bergen, ... Proceedings of the National Academy of Sciences 114 (40), 10785-10790, 2017 | 195 | 2017 |
| Study of the photodetector characteristics of a camera for color constancy in natural scenes S Ratnasingam, S Collins JOSA A 27 (2), 286-294, 2010 | 48 | 2010 |
| Color statistics of objects, and color tuning of object cortex in macaque monkey I Rosenthal, S Ratnasingam, T Haile, S Eastman, J Fuller-Deets, ... Journal of vision 18 (11), 1-1, 2018 | 35 | 2018 |
| Determining the absorption tolerance of single chromophore photodiodes for machine vision R Jansen van Vuuren, KD Johnstone, S Ratnasingam, H Barcena, ... Applied Physics Letters 96 (25), 123, 2010 | 35 | 2010 |
| Object recognition based on tactile form perception S Ratnasingam, TM McGinnity 2011 IEEE Workshop on Robotic Intelligence In Informationally Structured …, 2011 | 28 | 2011 |
| Chromaticity space for illuminant invariant recognition S Ratnasingam, TM McGinnity IEEE Transactions on Image Processing 21 (8), 3612-3623, 2012 | 21 | 2012 |
| Communication efficiency of color naming across languages provides a new framework for the evolution of color terms BR Conway, S Ratnasingam, J Jara-Ettinger, R Futrell, E Gibson Cognition 195, 104086, 2020 | 20 | 2020 |
| Deep camera: A fully convolutional neural network for image signal processing S Ratnasingam Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 20 | 2019 |
| Optimum sensors for color constancy in scenes illuminated by daylight S Ratnasingam, S Collins, J Hernández-Andrés JOSA A 27 (10), 2198-2207, 2010 | 15 | 2010 |
| A spiking neural network for tactile form based object recognition S Ratnasingam, TM McGinnity The 2011 International Joint Conference on Neural Networks, 880-885, 2011 | 13 | 2011 |
| What predicts the strength of simultaneous color contrast? S Ratnasingam, BL Anderson Journal of vision 17 (2), 13-13, 2017 | 7 | 2017 |
| The role of chromatic variance in modulating color appearance S Ratnasingam, BL Anderson Journal of Vision 15 (5), 19-19, 2015 | 5 | 2015 |
| Illuminant spectrum estimation at a pixel S Ratnasingam, J Hernández-Andrés JOSA A 28 (4), 696-703, 2011 | 5 | 2011 |
| An algorithm to determine the chromaticity under non-uniform illuminant S Ratnasingam, S Collins International Conference on Image and Signal Processing, 244-253, 2008 | 5 | 2008 |
| A spiking neural network for illuminant-invariant colour discrimination S Ratnasingam, A Robles-Kelly The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013 | 4 | 2013 |
| A comparison of encoding schemes for haptic object recognition using a biologically plausible spiking neural network S Ratnasingam, TM McGinnity 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011 | 3 | 2011 |
| Extending “color constancy” outside the visible region S Ratnasingam, S Collins, J Hernández-Andrés JOSA A 28 (4), 541-547, 2011 | 3 | 2011 |
| A biologically motivated double-opponency approach to illumination invariance S Ratnasingam, A Robles-Kelly Asian Conference on Computer Vision, 296-309, 2012 | 2 | 2012 |
| Analysis of colour constancy algorithms using the knowledge of variation of correlated colour temperature of daylight with solar elevation S Ratnasingam, S Collins, J Hernández-Andrés EURASIP Journal on Image and Video Processing 2013 (1), 1-13, 2013 | 1 | 2013 |
| A method for designing and assessing sensors for chromaticity constancy in high dynamic range scenes S Ratnasingam, S Collins, J Hernández-Andrés Color and Imaging Conference 2009 (1), 15-20, 2009 | 1 | 2009 |
