Zobrazeno 1 - 10
of 232
pro vyhledávání: '"BHATT, MEHUL"'
We demonstrate the need and potential of systematically integrated vision and semantics solutions for visual sensemaking in the backdrop of autonomous driving. A general neurosymbolic method for online visual sensemaking using answer set programming
Externí odkaz:
http://arxiv.org/abs/2012.14359
A people-centred approach for designing large-scale built-up spaces necessitates systematic anticipation of user's embodied visuo-locomotive experience from the viewpoint of human-environment interaction factors pertaining to aspects such as navigati
Externí odkaz:
http://arxiv.org/abs/2012.10710
We develop a human-centred, cognitive model of visuospatial complexity in everyday, naturalistic driving conditions. With a focus on visual perception, the model incorporates quantitative, structural, and dynamic attributes identifiable in the chosen
Externí odkaz:
http://arxiv.org/abs/2006.00059
We demonstrate the need and potential of systematically integrated vision and semantics} solutions for visual sensemaking (in the backdrop of autonomous driving). A general method for online visual sensemaking using answer set programming is systemat
Externí odkaz:
http://arxiv.org/abs/1906.00107
Publikováno v:
Advances in Cognitive Systems. (http://www.cogsys.org/journal), 2018
We present a computational model for the semantic interpretation of symmetry in naturalistic scenes. Key features include a human-centred representation, and a declarative, explainable interpretation model supporting deep semantic question-answering
Externí odkaz:
http://arxiv.org/abs/1806.07376
We present ASP Modulo `Space-Time', a declarative representational and computational framework to perform commonsense reasoning about regions with both spatial and temporal components. Supported are capabilities for mixed qualitative-quantitative rea
Externí odkaz:
http://arxiv.org/abs/1805.06861
We propose a hybrid architecture for systematically computing robust visual explanation(s) encompassing hypothesis formation, belief revision, and default reasoning with video data. The architecture consists of two tightly integrated synergistic comp
Externí odkaz:
http://arxiv.org/abs/1712.00840
Autor:
Suchan, Jakob, Bhatt, Mehul
We propose a deep semantic characterization of space and motion categorically from the viewpoint of grounding embodied human-object interactions. Our key focus is on an ontological model that would be adept to formalisation from the viewpoint of comm
Externí odkaz:
http://arxiv.org/abs/1710.04076
Autor:
Suchan, Jakob, Bhatt, Mehul
We present a commonsense, qualitative model for the semantic grounding of embodied visuo-spatial and locomotive interactions. The key contribution is an integrative methodology combining low-level visual processing with high-level, human-centred repr
Externí odkaz:
http://arxiv.org/abs/1709.05293
Publikováno v:
In Artificial Intelligence October 2021 299
