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20232026
most citedMultiMediate'24: Multi-Domain Engagement Estimation

7 citations · 9 across the 21 of their papers we have counts for

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cs.MM2024★ 7 cited

MultiMediate'24: Multi-Domain Engagement Estimation

Philipp Müller, Michal Balazia, Tobias Baur +8

Estimating the momentary level of participant's engagement is an important prerequisite for assistive systems that support human interactions. Previous work has addressed this task…

cs.AI2024

Explicit Modelling of Theory of Mind for Belief Prediction in Nonverbal Social Interactions

Matteo Bortoletto, Constantin Ruhdorfer, Lei Shi +1

We propose MToMnet - a Theory of Mind (ToM) neural network for predicting beliefs and their dynamics during human social interactions from multimodal input. ToM is key for effectiv…

stat.ML2024★ 1 cited

Amortized Bayesian Multilevel Models

Daniel Habermann, Marvin Schmitt, Lars Kühmichel +3

Multilevel models (MLMs) are a central building block of the Bayesian workflow. They enable joint, interpretable modeling of data across hierarchical levels and provide a fully pro…

cs.CV2024

Multi-Modal Video Dialog State Tracking in the Wild

Adnen Abdessaied, Lei Shi, Andreas Bulling

We present MST-MIXER - a novel video dialog model operating over a generic multi-modal state tracking scheme. Current models that claim to perform multi-modal state tracking fall s…

cs.LG2024

The Overcooked Generalisation Challenge: Evaluating Cooperation with Novel Partners in Unknown Environments Using Unsupervised Environment Design

Constantin Ruhdorfer, Matteo Bortoletto, Anna Penzkofer +1

We introduce the Overcooked Generalisation Challenge (OGC) - a new benchmark for evaluating reinforcement learning (RL) agents on their ability to cooperate with unknown partners i…

cs.CL2024

Brittle Minds, Fixable Activations: Understanding Belief Representations in Language Models

Matteo Bortoletto, Constantin Ruhdorfer, Lei Shi +1

Despite growing interest in Theory of Mind (ToM) tasks for evaluating language models (LMs), little is known about how LMs internally represent mental states of self and others. Un…

cs.AI2024

Limits of Theory of Mind Modelling in Dialogue-Based Collaborative Plan Acquisition

Matteo Bortoletto, Constantin Ruhdorfer, Adnen Abdessaied +2

Recent work on dialogue-based collaborative plan acquisition (CPA) has suggested that Theory of Mind (ToM) modelling can improve missing knowledge prediction in settings with asymm…

cs.CV2024

VSA4VQA: Scaling a Vector Symbolic Architecture to Visual Question Answering on Natural Images

Anna Penzkofer, Lei Shi, Andreas Bulling

While Vector Symbolic Architectures (VSAs) are promising for modelling spatial cognition, their application is currently limited to artificially generated images and simple spatial…

cs.CV2024

ActionDiffusion: An Action-aware Diffusion Model for Procedure Planning in Instructional Videos

Lei Shi, Paul Bürkner, Andreas Bulling

We present ActionDiffusion -- a novel diffusion model for procedure planning in instructional videos that is the first to take temporal inter-dependencies between actions into acco…

cs.CV2024

OLViT: Multi-Modal State Tracking via Attention-Based Embeddings for Video-Grounded Dialog

Adnen Abdessaied, Manuel von Hochmeister, Andreas Bulling

We present the Object Language Video Transformer (OLViT) - a novel model for video dialog operating over a multi-modal attention-based dialog state tracker. Existing video dialog m…