Petar Palasek

2 accepted papers

2026

Beyond Scanpaths: Graph-Based Gaze Simulation in Dynamic Scenes

Luke Palmer, Petar Palasek, Hazem Abdelkawy

CVPR 2026

Accurately modelling human attention is essential for numerous computer vision applications, particularly in the domain of automotive safety. Existing methods typically collapse gaze into saliency maps or scanpaths, treating gaze dynamics only implicitly. We instead formulate gaze modelling as an au

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2017

Deep Globally Constrained MRFs for Human Pose Estimation

Ioannis Marras, Petar Palasek, Ioannis Patras

ICCV 2017poster

This work introduces a novel Convolutional Network architecture (ConvNet) for the task of human pose estimation, that is the localization of body joints in a single static image. We propose a coarse to fine architecture that addresses shortcomings of the baseline architecture in [26] that stem from…

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