16 citations · 30 across the 6 of their papers we have counts for
8 papers
Keeping JEPA World Models Plannable When Little of the Frame Moves
Florian Strohm, Patrick Wagner, Jannik Schwab +1
Specifying a goal in language rather than as a goal frame is a natural interface for planning with a latent world model, but testing it needs scenes in which language must discrimi…
HAIFAI: Human-AI Interaction for Mental Face Reconstruction
Florian Strohm, Mihai Bâce, Andreas Bulling
We present HAIFAI - a novel two-stage system where humans and AI interact to tackle the challenging task of reconstructing a visual representation of a face that exists only in a p…
Learning User Embeddings from Human Gaze for Personalised Saliency Prediction
Florian Strohm, Mihai Bâce, Andreas Bulling
Reusable embeddings of user behaviour have shown significant performance improvements for the personalised saliency prediction task. However, prior works require explicit user char…
UP-FacE: User-predictable Fine-grained Face Shape Editing
Florian Strohm, Mihai Bâce, Andreas Bulling
We present User-predictable Face Editing (UP-FacE) -- a novel method for predictable face shape editing. In stark contrast to existing methods for face editing using trial and erro…
Int-HRL: Towards Intention-based Hierarchical Reinforcement Learning
Anna Penzkofer, Simon Schaefer, Florian Strohm +3
While deep reinforcement learning (RL) agents outperform humans on an increasing number of tasks, training them requires data equivalent to decades of human gameplay. Recent hierar…
VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering
Ekta Sood, Fabian Kögel, Florian Strohm +2
We present VQA-MHUG - a novel 49-participant dataset of multimodal human gaze on both images and questions during visual question answering (VQA) collected using a high-speed eye t…
Neural Photofit: Gaze-based Mental Image Reconstruction
Florian Strohm, Ekta Sood, Sven Mayer +3
We propose a novel method that leverages human fixations to visually decode the image a person has in mind into a photofit (facial composite). Our method combines three neural netw…
An Empirical Analysis of the Role of Amplifiers, Downtoners, and Negations in Emotion Classification in Microblogs
Florian Strohm, Roman Klinger
The effect of amplifiers, downtoners, and negations has been studied in general and particularly in the context of sentiment analysis. However, there is only limited work which aim…