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ORCIDHuman Vision and Electronic Imaging 2021: Virtual Event
- Damon M. Chandler, Mark E. McCourt, Jeffrey B. Mulligan:
Human Vision and Electronic Imaging 2021, Virtual Event, January 2021. Society for Imaging Science and Technology 2021 - Oussama Messai, Aladine Chetouani, Fella Hachouf, Zianou Ahmed Seghir
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Deep Quality evaluator guided by 3D Saliency for Stereoscopic Images. - Philipp Grüning, Erhardt Barth:
FP-Nets for Blind Image Quality Assessment. - Zhihang Ren, Stella X. Yu, David Whitney:
Controllable Medical Image Generation via Generative Adversarial Networks. - Tuomas Varanka, Wei Peng, Guoying Zhao:
Micro-Expression Recognition with Noisy Labels. - Vasilii Marshev, Jean-Louis de Bougrenet de la Tocnaye, Béatrice Cochener, Vincent Nourrit:
Impact of virtual reality head mounted display on the attentional visual field. - Nicolai Behmann, Sousa Weddige, Holger Blume:
Psychophysical Study of Human Visual Perception of Flicker Artifacts in Automotive Digital Mirror Replacement Systems. - Lora T. Likova, Kristyo Mineff, Christopher W. Tyler:
Multipurpose Spatiomotor Capture System for Haptic and Visual Training and Testing in the Blind and Sighted. - Christopher W. Tyler:
Cartography as Spatial Representation: A new assessment of the competing advantages and drawbacks across fields of science. - Michael E. Rudd:
Neurocomputational model explains spatial variations in perceived lightness induced by luminance edges in the image. - Aliaksei Mikhailiuk, Nanyang Ye, Rafal K. Mantiuk:
The effect of display brightness and viewing distance: a dataset for visually lossless image compression. - Minjung Kim, Maryam Azimi, Rafal K. Mantiuk:
Color Threshold Functions: Application of Contrast Sensitivity Functions in Standard and High Dynamic Range Color Spaces. - Yuichiro Urata, Masanori Koike, Kazuhisa Yamagishi, Noritsugu Egi, Jun Okamoto:
Extension of ITU-T P.1203 model to Tile-based Omnidirectional Video Streaming. - Shuhei Watanabe, Shoji Tominaga, Takahiko Horiuchi:
The Difference in Impression between Genuine and Artificial Leather: Quantifying the Feeling of Authenticity. - Hyeon-Jeong Suk, Juhee Kim:
Prediction of individual preference for movie poster designs based on graphic elements using machine learning classification. - Koki Madono, Masayuki Tanaka, Masaki Onishi, Tetsuji Ogawa:
Scrambling Parameter Generation to Improve Perceptual Information Hiding.
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last updated on 2025-01-24 17:02 CET by the dblp team
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