Cited By

Colour has been cited or used in a way or another (computations, figures) by the following papers, publications, articles or presentations:

  • Akenine-Möller, T., Haines, E., Hoffman, N., Pesce, A., Hillaire, S., & Iwanicki, M. (2018). Real-Time Rendering, Fourth Edition. ISBN:978-1-138-62700-0

  • Arrighetti, W. (2017). The Academy Color Encoding System (ACES): A Professional Color-Management Framework for Production, Post-Production and Archival of Still and Motion Pictures. Journal of Imaging, 3(4), 40. doi:10.3390/jimaging3040040

  • Baumann, O., Okell, A., & Strom, J. (2018). Characterization of Processing Artifacts in High Dynamic Range, Wide Color Gamut Video. SMPTE Motion Imaging Journal, 127(3), 1–7. doi:10.5594/JMI.2018.2792761

  • Conley, K., Moosakhani, S., Thakore, V., Ge, Y., Lehtonen, J., Karttunen, M., Hannula, S.-P., & Ala-Nissila, T. (2021). Silica-silicon composites for near-infrared reflection: A comprehensive computational and experimental study. Ceramics International, 47(12), 16833–16840. doi:10.1016/j.ceramint.2021.02.257

  • Dherse, A. P., Everaert, M. N., & Gwizdała, J. J. (2020). Scene relighting with illumination estimation in the latent space on an encoder-decoder scheme. ArXiv:2006.02333 [Cs]. Retrieved September 29, 2020, from http://arxiv.org/abs/2006.02333

  • Duiker, H.-P., Forsythe, A., Dyer, S., Houston, J., McCown, W., Feeney, R., Maltz, A., & Walker, D. (2015). ACEScg: A Common Color Encoding for Visual Effects Applications - Talk. Retrieved August 15, 2015, from http://www.slideshare.net/hpduiker/acescg-a-common-color-encoding-for-visual-effects-applications

  • Godfroy, M., Liotier, J., Mwalukuku, V. M., Joly, D., Huaulmé, Q., Cabau, L., Aumaitre, C., Kervella, Y., Narbey, S., Oswald, F., & others. (2020). Benzothiadiazole-based photosensitizers for efficient and stable dye-sensitized solar cells and 8.7% efficiency semi-transparent mini-modules. Sustainable Energy & Fuels.

  • Guimarães, T. L. B. (2016). Determinação da Cor do Solo Pela Carta de Munsell e por Colorimetria.

  • Hart, E. (2016). UHD Color for Games.

  • Hoffman, N. (2015). Physics and Math of Shading.

  • Hoffman, N. (2014). Background: Physics and Math of Shading. 1–96.

  • Jakob, W., & Hanika, J. (2019). A Low‐Dimensional Function Space for Efficient Spectral Upsampling. Computer Graphics Forum, 38(2), 147–155. doi:10.1111/cgf.13626

  • Jarý, V., Havlák, L., Bárta, J., Rejman, M., Bystřický, A., Dujardin, C., Ledoux, G., & Nikl, M. (2018). Circadian Light Source Based on K x Na 1-x LuS 2 :Eu 2+ Phosphor. ECS Journal of Solid State Science and Technology, 7(1), R3182–R3188. doi:10.1149/2.0231801jss

  • Kinoshita, Y., & Kiya, H. (2021). Separated-Spectral-Distribution Estimation Based on Bayesian Inference with Single RGB Camera. ArXiv Preprint ArXiv:2106.01861.

  • Mauderer, M., Flatla, D. R., & Nacenta, M. A. (2016). Gaze-Contingent Manipulation of Color Perception. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems - CHI ’16, 5191–5202. doi:10.1145/2858036.2858320

  • Meng, J., Simon, F., Hanika, J., & Dachsbacher, C. (2015). Physically Meaningful Rendering using Tristimulus Colours. Computer Graphics Forum, 34(4), 31–40. doi:10.1111/cgf.12676

  • Merkx, E. P., Plokker, M. P., & van der Kolk, E. (2021). The potential of transparent sputtered NaI: Tm2+, CaBr2: Tm2+, and CaI2: Tm2+ thin films as luminescent solar concentrators. Solar Energy Materials and Solar Cells, 223, 110944. doi:10.1016/j.solmat.2020.110944

  • Peña, K., Clark, C., & Whipple, M. (n.d.). Protecting a Story’s Future with History and Science. Retrieved January 26, 2020, from https://medium.com/netflix-techblog/protecting-a-storys-future-with-history-and-science-e21a9fb54988

  • Sajedian, I., Badloe, T., & Rho, J. (2018). Finding the best design parameters for optical nanostructures using reinforcement learning. http://arxiv.org/abs/1810.10964

  • Sajedian, I., Badloe, T., & Rho, J. (2019). Optimisation of colour generation from dielectric nanostructures using reinforcement learning. Optics Express, 27(4), 5874. doi:10.1364/OE.27.005874

  • Sajedian, I., Lee, H., & Rho, J. (2020). Design of high transmission color filters for solar cells directed by deep Q-learning. Solar Energy, 195, 670–676. doi:10.1016/j.solener.2019.12.013

  • Sharma, S. K., Lin, Y.-C., Carrasco, I., Tingberg, T., Bettinelli, M., & Karlsson, M. (2018). Weak thermal quenching of the luminescence in the Ca 3 Sc 2 Si 3 O 12 :Ce 3+ garnet phosphor. Journal of Materials Chemistry C, 6(33), 8923–8933. doi:10.1039/C8TC02907E

  • Stoliaroff, A., Rio, J., & Latouche, C. (2019). Accurate computations to simulate the phosphorescence spectra of large transition complexes: simulated colors match experiment. New Journal of Chemistry, 43(30), 11903–11911. doi:10.1039/C9NJ02388G

  • Stratmann, L. (2017). Conceptualization and Prototypical Implementation in WebGL of an Exercise in Color Theory.

  • Tam, J. (2016). A Generative Model for Digital Camera Chemical Colorimetry.

  • Uchimura, H. (2016). Color Science for Games.

  • Uchimura, H., & Suzuki, K. (2018). Practical HDR and Wide Color Techniques in Gran Turismo SPORT. http://www.polyphony.co.jp/publications/sa2018/

  • Walker, D., Dolan, M., & Hodoul, P. (2020). The ASWF Takes OpenColorIO to the Next Level. The Digital Production Symposium, 1–10. doi:10.1145/3403736.3403942

  • Waters, M. J., Walker, J. M., Nelson, C. T., Joester, D., & Rondinelli, J. M. (2020). Exploiting Colorimetry for Fidelity in Data Visualization. ArXiv:2002.12228 [Cond-Mat]. Retrieved September 29, 2020, from http://arxiv.org/abs/2002.12228

  • Wei, N., Tian, Y., Liao, Y., Komatsu, N., Gao, W., Lyuleeva-Husemann, A., Zhang, Q., Hussain, A., Ding, E.-X., Yao, F., & others. (2020). Colors of Single-Wall Carbon Nanotubes. Advanced Materials, 2006395.

  • Wheatley, K. J. (2016). A retrospective on the adoption of the ACES technology at Framestore. Proceedings of the 2016 Symposium on Digital Production, 19–30. doi:10.1145/2947688.2947695