16 citations · 30 across the 6 of their papers we have counts for
5 papers · 1 filter
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…
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…