Results 201 to 210 of about 2,681 (242)

Editorial: Crossing sensory boundaries: multisensory perception through the lens of audition. [PDF]

Front Psychol
Zacharakis A, Saitis C, Wallmark Z, Vatakis A.   +3 more
europepmc   +1 more source

Capillary-based optical fiber sensor for turbidity measurement. [PDF]

Sci Rep
Vanegas-Tenezaca E, Correa Serrano AI, Galarza M, Jamier R, Roy P, Cobo A, Perez-Herrera RA, Lopez-Amo M.   +7 more
europepmc   +1 more source

Multi-modal and inter-device retinal OCT registration via learning-based feature correspondence. [PDF]

Biomed Opt Express
Tse T, Xie Z, Shahidul Islam M, Pham M, Navajas EV, Mammo Z, Ju MJ.   +6 more
europepmc   +1 more source

Decoding the “bouba-kiki” effect in early visual cortex

Ioannucci S, Jordan C, Carnet A, McGettigan C, Vetter P.   +4 more
europepmc   +1 more source

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Conats: A Novel Framework for Cross-Modal Map Extraction

2022
Nowadays, the quality of digital maps is vital to various road-based applications, like autonomous driving, route recommendation, etc. The traditional way of map extraction/update through land surveying is expensive and usually fails to meet map recency requirements.
Chen, Zheng, Fang, Junhua, Chao, Pingfu, Qu, Jianfeng, Zhao, Pengpeng, Xu, Jiajie   +5 more
openaire   +3 more sources

Establishing Cross-Modal Mappings: Empirical and Computational Investigations

2014
Pawan Sinha, Jonas Wulff, Richard Held
exaly   +2 more sources

Deep Semantic Mapping for Cross-Modal Retrieval

2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI), 2015
Cross-Modal mapping plays an essential role in multimedia information retrieval systems. However, most of existing work paid much attention on learning mapping functions but neglected the exploration of high-level semantic representation of modalities.
Cheng Wang 0002, Haojin Yang 0001, Christoph Meinel   +2 more
openaire   +1 more source

Image Tagging via Cross-Modal Semantic Mapping

Proceedings of the 23rd ACM international conference on Multimedia, 2015
Images without annotations are ubiquitous on the Internet, and recommending tags for them has become a challenging open task in image understanding. A common bottleneck of related work is the semantic gap between the image and text representations.
Zhi-Hong Deng 0001, Hongliang Yu, Yunlun Yang   +2 more
openaire   +1 more source

Persistent Stereo Visual Localization on Cross-Modal Invariant Map

IEEE Transactions on Intelligent Transportation Systems, 2020
Autonomous mobile vehicles are expected to perform persistent and accurate localization with low-cost equipment. To achieve this goal, we propose a stereo camera based visual localization method using a modified laser map, which takes the advantage of both the low cost of camera, and high geometric precision of laser data to achieve long-term ...
Xiaqing Ding, Yue Wang 0020, Rong Xiong, Dongxuan Li, Li Tang 0006, Huan Yin, Liang Zhao 0003   +6 more
openaire   +2 more sources