3 citations · 4 across the 5 of their papers we have counts for
8 papers
Commonsense Visual Sensemaking for Autonomous Driving: On Generalised Neurosymbolic Online Abduction Integrating Vision and Semantics
Jakob Suchan, Mehul Bhatt, Srikrishna Varadarajan
We demonstrate the need and potential of systematically integrated vision and semantics solutions for visual sensemaking in the backdrop of autonomous driving. A general neurosymbo…
Towards a Human-Centred Cognitive Model of Visuospatial Complexity in Everyday Driving
Vasiliki Kondyli, Mehul Bhatt, Jakob Suchan
We develop a human-centred, cognitive model of visuospatial complexity in everyday, naturalistic driving conditions. With a focus on visual perception, the model incorporates quant…
Out of Sight But Not Out of Mind: An Answer Set Programming Based Online Abduction Framework for Visual Sensemaking in Autonomous Driving
Jakob Suchan, Mehul Bhatt, Srikrishna Varadarajan
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…
Semantic Analysis of (Reflectional) Visual Symmetry: A Human-Centred Computational Model for Declarative Explainability
Jakob Suchan, Mehul Bhatt, Srikrishna Vardarajan +2
We present a computational model for the semantic interpretation of symmetry in naturalistic scenes. Key features include a human-centred representation, and a declarative, explain…
Answer Set Programming Modulo `Space-Time'
Carl Schultz, Mehul Bhatt, Jakob Suchan +1
We present ASP Modulo `Space-Time', a declarative representational and computational framework to perform commonsense reasoning about regions with both spatial and temporal compone…
Visual Explanation by High-Level Abduction: On Answer-Set Programming Driven Reasoning about Moving Objects
Jakob Suchan, Mehul Bhatt, Przemysław Wałęga +1
We propose a hybrid architecture for systematically computing robust visual explanation(s) encompassing hypothesis formation, belief revision, and default reasoning with video data…