Alexandre Bruckert

Orcid: 0000-0003-2623-4975

According to our database1, Alexandre Bruckert authored at least 14 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
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Links

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Bibliography

2025
Efficient Listener: Dyadic Facial Motion Synthesis via Action Diffusion.
CoRR, April, 2025

Orientation and mobility test in virtual reality, a tool for quantitative assessment of functional vision: dataset and evaluation in healthy subjects.
CoRR, April, 2025

Refining Functional Vision Assessment: Challenges in Adapting Orientation and Mobility Tests to Virtual Reality.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2025

2024
Assessing the impact of central and peripheral obstructions on visual behavior: insights from gaze-contingent eye-tracking studies.
Dataset, October, 2024

Real-Time Multi-Map Saliency-Driven Gaze Behavior for Non-Conversational Characters.
IEEE Trans. Vis. Comput. Graph., July, 2024

2023
Personalized Visual Scanpath Prediction Using IOR-ROI Weighted Attention Network.
Proceedings of the 2023 ACM International Conference on Interactive Media Experiences Workshops, 2023

VSGAN: Visual Saliency guided Generative Adversarial Network for data augmentation.
Proceedings of the 2023 ACM International Conference on Interactive Media Experiences Workshops, 2023

A Dataset of Gaze and Mouse Patterns in the Context of Facial Expression Recognition.
Proceedings of the 2023 ACM International Conference on Interactive Media Experiences, 2023

High-level cinematic knowledge to predict inter-observer visual congruency.
Proceedings of the 2023 ACM International Conference on Interactive Media Experiences Workshops, 2023

Could the BubbleView Metaphor be used to Infer Visual Attention on 3D Graphical Content?
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
A perceptual approach to film editing. (Attention visuelle et cinématographie).
PhD thesis, 2022

2021
Deep saliency models : The quest for the loss function.
Neurocomputing, 2021

Where to look at the movies : Analyzing visual attention to understand movie editing.
CoRR, 2021

2019
Deep Learning For Inter-Observer Congruency Prediction.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019


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