activity
20132026
most citedDeeply Semantic Inductive Spatio-Temporal Learning

3 citations · 14 across the 15 of their papers we have counts for

collaborators

20 papers

cs.AI2026

Anticipatory Commonsense with Moving Objects: An ASP-Based Framework for Predictive Reasoning with Interacting Trajectories

Julius Monsen, Jakob Suchan, Mehul Bhatt

We present a general declarative framework for anticipatory reasoning about interactive motion in complex dynamic environments. Our focus is on (explainable) anticipatory space-tim…

cs.CL2026

A Cognitively Motivated Multidimensional Framework for Evaluating Metaphor Explanations

Ana Naveriani, Jakob Suchan, Stefano Zoia +3

Current evaluation of metaphor explanations relies mainly on holistic quality ratings, revealing little about how explanation quality is structured or where human judgments agree a…

q-bio.NC2026

A Human-Factors Guided Cognitive Model of Visuospatial Complexity in Embodied Active Vision

Vasiliki Kondyli, Jakob Suchan, Mehul Bhatt

We propose a novel framework for the analysis of multimodal data -- encompassing visual, auditory, and spatial stimuli -- foregrounding the role of complexity in embodied perceptio…

cs.AI2026

Answer Set Programming Energised! End-to-End Neurosymbolic Reasoning and Learning with ASP and Energy Based Models

Jakob Suchan, Julius Monsen, Salim Baloch +1

We present a general neurosymbolic reasoning and learning methodology based on a modular integration of answer set programming with an energy based model substrate. Key contributio…

cs.AI2026

Reasonable Motion: A General ASP Foundation for Environment Constrained Movement Trajectory Computation

Julius Monsen, Jakob Suchan, Mehul Bhatt +1

We present a general answer set programming based hybrid quantitative-qualitative method for computing constrained branching trajectory modes for moving objects in real-world setti…

cs.CV2026

Visual Commonsense Driven Knowledge Refinements for Scene Graph Generation

Maëlic Neau, Salim Baloch, Jakob Suchan +2

Learning-driven Scene Graph Generation (SGG) models excel on frequent relation types but degrade sharply under annotation sparsity, failing to capture reliable visual commonsense k…

cs.AI2023★ 1 cited

Assessing Drivers' Situation Awareness in Semi-Autonomous Vehicles: ASP based Characterisations of Driving Dynamics for Modelling Scene Interpretation and Projection

Jakob Suchan, Jan-Patrick Osterloh

Semi-autonomous driving, as it is already available today and will eventually become even more accessible, implies the need for driver and automation system to reliably work togeth…

cs.AI2020

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…

cs.AI2020★ 1 cited

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…

cs.AI2019

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…

cs.CV2018★ 3 cited

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…

cs.AI2018

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…

cs.AI2017

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…

cs.RO2017★ 3 cited

Deep Semantic Abstractions of Everyday Human Activities: On Commonsense Representations of Human Interactions

Jakob Suchan, Mehul Bhatt

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…

cs.RO2017

Commonsense Scene Semantics for Cognitive Robotics: Towards Grounding Embodied Visuo-Locomotive Interactions

Jakob Suchan, Mehul Bhatt

We present a commonsense, qualitative model for the semantic grounding of embodied visuo-spatial and locomotive interactions. The key contribution is an integrative methodology com…

cs.AI2016★ 3 cited

Deeply Semantic Inductive Spatio-Temporal Learning

Jakob Suchan, Mehul Bhatt, Carl Schultz

We present an inductive spatio-temporal learning framework rooted in inductive logic programming. With an emphasis on visuo-spatial language, logic, and cognition, the framework su…

cs.CL2016

Grounding Dynamic Spatial Relations for Embodied (Robot) Interaction

Michael Spranger, Jakob Suchan, Mehul Bhatt +1

This paper presents a computational model of the processing of dynamic spatial relations occurring in an embodied robotic interaction setup. A complete system is introduced that al…

cs.AI2015★ 3 cited

Talking about the Moving Image: A Declarative Model for Image Schema Based Embodied Perception Grounding and Language Generation

Jakob Suchan, Mehul Bhatt, Harshita Jhavar

We present a general theory and corresponding declarative model for the embodied grounding and natural language based analytical summarisation of dynamic visuo-spatial imagery. The…

cs.AI2013

Cognitive Interpretation of Everyday Activities: Toward Perceptual Narrative Based Visuo-Spatial Scene Interpretation

Mehul Bhatt, Jakob Suchan, Carl Schultz

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-…

cs.AI2013

ROTUNDE - A Smart Meeting Cinematography Initiative: Tools, Datasets, and Benchmarks for Cognitive Interpretation and Control

Mehul Bhatt, Jakob Suchan, Christian Freksa

We construe smart meeting cinematography with a focus on professional situations such as meetings and seminars, possibly conducted in a distributed manner across socio-spatially se…