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Found 22 papers, 0 papers with code
Multi3Generation: Multitask, Multilingual, Multimodal Language Generation
This paper presents the Multitask, Multilingual, Multimodal Language Generation COST Action – Multi3Generation (CA18231), an interdisciplinary network of research groups working on different aspects of language generation.
Commonsense Visual Sensemaking for Autonomous Driving: On Generalised Neurosymbolic Online Abduction Integrating Vision and Semantics
The method integrates state of the art in visual computing, and is developed as a modular framework that is generally usable within hybrid architectures for realtime perception and control.
Towards a Human-Centred Cognitive Model of Visuospatial Complexity in Everyday Driving
We develop a human-centred, cognitive model of visuospatial complexity in everyday, naturalistic driving conditions.
Out of Sight But Not Out of Mind: An Answer Set Programming Based Online Abduction Framework for Visual Sensemaking in Autonomous Driving
We demonstrate the need and potential of systematically integrated vision and semantics} solutions for visual sensemaking (in the backdrop of autonomous driving).
Semantic Analysis of (Reflectional) Visual Symmetry: A Human-Centred Computational Model for Declarative Explainability
Key features include a human-centred representation, and a declarative, explainable interpretation model supporting deep semantic question-answering founded on an integration of methods in knowledge representation and deep learning based computer vision.
Answer Set Programming Modulo `Space-Time'
We present ASP Modulo `Space-Time', a declarative representational and computational framework to perform commonsense reasoning about regions with both spatial and temporal components.
Visual Explanation by High-Level Abduction: On Answer-Set Programming Driven Reasoning about Moving Objects
We present the formal framework, its general implementation as a (declarative) method in answer set programming, and an example application and evaluation based on two diverse video datasets: the MOTChallenge benchmark developed by the vision community, and a recently developed Movie Dataset.
Deep Semantic Abstractions of Everyday Human Activities: On Commonsense Representations of Human Interactions
We propose a deep semantic characterization of space and motion categorically from the viewpoint of grounding embodied human-object interactions.
Commonsense Scene Semantics for Cognitive Robotics: Towards Grounding Embodied Visuo-Locomotive Interactions
We present a commonsense, qualitative model for the semantic grounding of embodied visuo-spatial and locomotive interactions.
Deeply Semantic Inductive Spatio-Temporal Learning
We present an inductive spatio-temporal learning framework rooted in inductive logic programming.
Grounding Dynamic Spatial Relations for Embodied (Robot) Interaction
This paper presents a computational model of the processing of dynamic spatial relations occurring in an embodied robotic interaction setup.
Robust Natural Language Processing - Combining Reasoning, Cognitive Semantics and Construction Grammar for Spatial Language
We present a system for generating and understanding of dynamic and static spatial relations in robotic interaction setups.
Non-Monotonic Spatial Reasoning with Answer Set Programming Modulo Theories
We present ASPMT(QS), a novel approach and fully-implemented prototype for non-monotonic spatial reasoning -a crucial requirement within dynamic spatial systems- based on Answer Set Programming Modulo Theories (ASPMT).
Talking about the Moving Image: A Declarative Model for Image Schema Based Embodied Perception Grounding and Language Generation
We present a general theory and corresponding declarative model for the embodied grounding and natural language based analytical summarisation of dynamic visuo-spatial imagery.
Spatial Symmetry Driven Pruning Strategies for Efficient Declarative Spatial Reasoning
Declarative spatial reasoning denotes the ability to (declaratively) specify and solve real-world problems related to geometric and qualitative spatial representation and reasoning within standard knowledge representation and reasoning (KR) based methods (e. g., logic programming and derivatives).
ASPMT(QS): Non-Monotonic Spatial Reasoning with Answer Set Programming Modulo Theories
We present ASPMT(QS), a novel approach and fully-implemented prototype for non-monotonic spatial reasoning ---a crucial requirement within dynamic spatial systems-- based on Answer Set Programming Modulo Theories (ASPMT).
Between Sense and Sensibility: Declarative narrativisation of mental models as a basis and benchmark for visuo-spatial cognition and computation focussed collaborative cognitive systems
What lies between `\emph{sensing}' and `\emph{sensibility}'?
Geospatial Narratives and their Spatio-Temporal Dynamics: Commonsense Reasoning for High-level Analyses in Geographic Information Systems
The modelling, analysis, and visualisation of dynamic geospatial phenomena has been identified as a key developmental challenge for next-generation Geographic Information Systems (GIS).
Cognitive Interpretation of Everyday Activities: Toward Perceptual Narrative Based Visuo-Spatial Scene Interpretation
We position a narrative-centred computational model for high-level knowledge representation and reasoning in the context of a range of assistive technologies concerned with "visuo-spatial perception and cognition" tasks.
ROTUNDE - A Smart Meeting Cinematography Initiative: Tools, Datasets, and Benchmarks for Cognitive Interpretation and Control
ROTUNDE, an instance of smart meeting cinematography concept, aims to: (a) develop functionality-driven benchmarks with respect to the interpretation and control capabilities of human-cinematographers, real-time video editors, surveillance personnel, and typical human performance in everyday situations; (b) Develop general tools for the commonsense cognitive interpretation of dynamic scenes from the viewpoint of visuo-spatial cognition centred perceptual narrativisation.
Narrative based Postdictive Reasoning for Cognitive Robotics
Making sense of incomplete and conflicting narrative knowledge in the presence of abnormalities, unobservable processes, and other real world considerations is a challenge and crucial requirement for cognitive robotics systems.
h-approximation: History-Based Approximation of Possible World Semantics as ASP
We propose an approximation of the Possible Worlds Semantics (PWS) for action planning.
