Liao, X., Sawayama, M., & Xiao, B. (2023) Unsupervised learning reveals interpretable
latent representations for translucency perception. PLoS Computational Biology, 19(2): e1010878
(Article)
Adolphe*, M., Sawayama*, M., Maurel, D., Delmas, A., Oudeyer, P.Y., & Sauzeon, H. (2022)
An open-source cognitive test battery to assess human attention and memory Frontiers in Psychology, 13,
1-16. *equal contribution (Article)(Code)
Sawayama, M., Dobashi, Y., Okabe, M., Hosokawasa, K., Koumura, T., Saarela, T., Olkkonen, M.,
& Nishida, S. (2022) Visual discrimination of optical material properties: a large-scale study.
Journal of Vision, 22(2):17, 1–24. (Article)
Liao, C., Sawayama, M., & Xiao, B. (2022) Crystal or Jelly? Effect of Color on the
Perception of Translucent Materials with Photographs of Real-world Objects. Journal of Vision, 22(2):6, 1–23. (Article)
Kuroki, S., Sawayama, M., & Nishida, S. (2021) The roles of lower- and higher-order
surface statistics in tactile texture perception. Journal of Neurophysiology, 126,
95-111, (Article)
Okubo, L., Yokosawa, K.,Sawayama, M., & Kawabe, T. (2021) Discounting mechanism underlies
extinction illusion. Consciousness
and Cognition, 90, 103100. 1-11. (Article)
Kawabe, T., & Sawayama, M. (2020) A computational mechanism for seeing dynamic
deformation. eNeuro, 7(2), 1-14, (Article)
Nishida, S., Kawabe, T., Sawayama, M., & Fukiage, T. (2018) Motion Perception: From
Detection to Interpretation Annual Review
of Vision Science, 4(1), doi:10.1146/annurev-vision-091517-034328,(Article)
Sawayama, M. & Nishida, S. (2018) Material and shape perception based on two types of
intensity gradient information. PLoS
Computational Biology, 14(4):e1006061, 1-40, doi:10.1371/journal.pcbi.1006061 (Article)
Sawayama, M., Adelson, E. H., & Nishida, S. (2017) Visual wetness perception based on
image color statistics. Journal of Vision,
17(5):7, 1–24, doi:10.1167/17.5.7 (Article)
Sawayama, M., Nishida, S., & Shinya, M. (2017) Human perception of sub-resolution
fineness of dense textures based on image intensity statistics. Journal of Vision, 17(4):8, 1–18,
doi:10.1167/17.4.8 (Article)
Kawabe, T., Fukiage, T., Sawayama, M., & Nishida, S. (2016) Deformation Lamps: A
Projection Technique to Make Static Objects Perceptually Dynamic. ACM Transactions on Applied Perception (TAP),
13(2), 1-17. (Article)
Sawayama, M. & Kimura, E. (2015) Stain on texture: perception of a dark spot having a
blurred edge on textured backgrounds. Vision Research, vol. 109
part B, 209-220, doi:10.1016/j.visres.2014.11.017 (Article)
Sawayama, M. & Kimura, E. (2013) Spatial organization affects lightness perception on
articulated surrounds. Journal of Vision, 13(5):5,
1-14, doi: 10.1167/13.5.5 (Article)
Sawayama, M. & Kimura, E. (2012) Local computation of lightness on articulated surrounds.
iPerception, 3 (8), 505-514. doi:
10.1068/i0528 (Article)
Todo, H., Yatagawa, T., Sawayama, M., Dobashi, Y., & Kakimoto, M. (2019) Image-based
translucency transfer through correlation analysis over multi-scale spatial color distribution Computer Graphics International (CGI) 2019,
Calgary, Canada, also published in the Visual
Computer doi:10.1007/s00371-019-01676-9 (Article)
Kuroki, S., Sawayama, M., & Nishida, S. (2018) Haptic texture perception on 3D-printed
surfaces transcribed from visual natural textures EuroHaptics
2018, Pisa, Italy
MISC (Blog etc)
Sawayama, M., Lemesle, Y., & Oudeyer, P.Y. (2022) Watching artificial intelligence
through the lens of cognitive science methodologies. hal-03729242, (Article)
Liao, X., Sawayama, M., & Xiao, B. (2022) Unsupervised learning of translucent material
appearance using StyleGAN. Conference on Cognitive
Computational Neuroscience (CCN), San Francisco, USA
Sawayama, M., Liao, C., Nishida, S. & Xiao, B. (2022) Replaceability of two deep
generative models trained with a pair of translucent objects with different geometries 22nd Annual Meeting of Vision Sciences Society
(V-VSS), Online conference
Takahashi, N., Chen, X., Sawayama, M., Motomura, Y., & Hiramatsu, C. (2022) Color
saliency and attention change represented by neural processing in individuals with various color
visions 22nd Annual Meeting of Vision Sciences Society
(VSS), Florida, USA
Liao, C.,Sawayama, M., & Xiao, B. (May, 2021) Individual differences in classification of
translucent materials using photos of real-world objects. 21st
Annual Meeting of Vision Sciences Society (VSS), Online conference
Kawasaki, K., Miki, H., Anzai, K., Sawayama, M., Matsuo, T., Suzuki, T., Hasegawa, T., &
Okatani, T. (2019) Spatial and time-frequency representations of glossy material properties in the
monkey inferior temporal cortex. Society for Neuroscience 2019, Chicago, IL
Liu, X., Sawayama, M., Hayashi, R., Ozay, M., Okatani, T. & Nishida, S. (May, 2018)
Perturbation Tolerance of Deep Neural Networks and Humans in Material Recognition 18th Annual Meeting of Vision Sciences Society
(VSS), Florida, USA
Sawayama, M. (Nov, 2017) Human visual perception of object qualities based on image
statistics The Second ACM SIGCHI Asian Symposium, Tohoku, Japan
Kawabe, T., Sawayama, M., & Nishida, S. (August, 2015) Deformation lamps: a projection
technique to make a static picture dynamic. In ACM SIGGRAPH
2015 Emerging Technologies, p 8.
Sawayama, M. & Kimura, E. (July, 2010) Common-fate grouping affects brightness perception
on the articulated surround. Asia-Pacific Conference on Vision
(APCV), Taipei, Taiwan