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20192026
most citedLearning User Embeddings from Human Gaze for Personalised Saliency Prediction

1 citations · 2 across the 6 of their papers we have counts for

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cs.CV2025

Learning Spatio-Temporal Feature Representations for Video-Based Gaze Estimation

Alexandre Personnic, Mihai Bâce

Video-based gaze estimation methods aim to capture the inherently temporal dynamics of human eye gaze from multiple image frames. However, since models must capture both spatial an…

cs.CV2024

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…

cs.CV20241 cited

DiffGaze: A Diffusion Model for Continuous Gaze Sequence Generation on 360° Images

Chuhan Jiao, Yao Wang, Guanhua Zhang +3

We present DiffGaze, a novel method for generating realistic and diverse continuous human gaze sequences on 360° images based on a conditional score-based denoising diffusion model…

cs.CV20241 cited

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…

cs.CV2024

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…

cs.CV2021

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…