activity
20232026
collaborators

10 papers

cs.CV2026

MWorld: A Multi-view Multimodal Driving World Model for Interactive Object Manipulation and Minute-long Streaming

Ke Cheng, Hanqiao Ye, Lei Shi +8

Driving-world generation has emerged as a core capability for scalable autonomous-driving simulation, yet existing methods remain limited in object-level controllability and long-h…

cs.CV2026

VistaGEN: Consistent Driving Video Generation with Fine-Grained Control Using Multiview Visual-Language Reasoning

Li-Heng Chen, Ke Cheng, Yahui Liu +3

Driving video generation has achieved much progress in controllability, video resolution, and length, but fails to support fine-grained object-level controllability for diverse dri…

cs.CV2025

CLAD: Constrained Latent Action Diffusion for Vision-Language Procedure Planning

Lei Shi, Andreas Bulling

We propose CLAD, a Constrained Latent Action Diffusion model for vision-language procedure planning in instructional videos. Procedure planning is the challenging task of predictin…

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…

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.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.AI2023

Mindful Explanations: Prevalence and Impact of Mind Attribution in XAI Research

Susanne Hindennach, Lei Shi, Filip Miletić +1

When users perceive AI systems as mindful, independent agents, they hold them responsible instead of the AI experts who created and designed these systems. So far, it has not been…