Search Results - "Qammaz, Ammar"

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    Occlusion-tolerant and personalized 3D human pose estimation in RGB images by Qammaz, Ammar, Argyros, Antonis

    “…We introduce a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body…”
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    Conference Proceeding
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    Towards force sensing from vision: Observing hand-object interactions to infer manipulation forces by Tu-Hoa Pham, Kheddar, Abderrahmane, Qammaz, Ammar, Argyros, Antonis A.

    “…We present a novel, non-intrusive approach for estimating contact forces during hand-object interactions relying solely on visual input provided by a single…”
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    Conference Proceeding
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    Y-MAP-Net: Real-time depth, normals, segmentation, multi-label captioning and 2D human pose in RGB images by Qammaz, Ammar, Vasilikopoulos, Nikolaos, Oikonomidis, Iason, Argyros, Antonis A

    Published 15-11-2024
    “…We present Y-MAP-Net, a Y-shaped neural network architecture designed for real-time multi-task learning on RGB images. Y-MAP-Net, simultaneously predicts…”
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    Journal Article
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    A Unified Approach for Occlusion Tolerant 3D Facial Pose Capture and Gaze Estimation using MocapNETs by Qammaz, Ammar, Argyros, Antonis A.

    “…We tackle the challenging problems of 3D facial capture, head pose and gaze estimation. We do so by extending MocapNET, a highly effective deep learning motion…”
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    Conference Proceeding
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    A Hybrid Method for 3D Pose Estimation of Personalized Human Body Models by Qammaz, Ammar, Michel, Damien, Argyros, Antonis

    “…We propose a new hybrid method for 3D human body pose estimation based on RGBD data. We treat this as an optimization problem that is solved using a stochastic…”
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    Conference Proceeding
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    On the Feasibility of Real-Time 3D Hand Tracking using Edge GPGPU Acceleration by Qammaz, Ammar, Kosta, Sokol, Kyriazis, Nikolaos, Argyros, Antonis

    Published 30-04-2018
    “…This paper presents the case study of a non-intrusive porting of a monolithic C++ library for real-time 3D hand tracking, to the domain of edge-based…”
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    Journal Article