CV
Basics
| Name | Giulia Martinelli |
| Label | Post-Doc Researcher in Computer Vision & Graphics |
| giulia.martinelli-2@unitn.it | |
| Summary | Post-Doc researcher working at the intersection of Computer Vision and Computer Graphics, with a focus on realistic Digital Humans and the full pipeline from 3D reconstruction to motion capture, retargeting, and real-time animation. |
Work
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2025 - Present Trento, Italy
Post-Doc Researcher
University of Trento - Department of Information Engineering and Computer Science
Research on realistic Digital Humans, from high-fidelity appearance reconstruction to motion capture, motion retargeting and real-time animation in interactive environments.
- Parametric human models (SMPL, SMPL-X) for body, face and hands
- Markerless and marker-based motion capture (e.g., OptiTrack)
- Motion retargeting and animation control for real-time applications
- Applications in VR/AR and sports analytics
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2024.01 - 2024.04 Tampere, Finland
Visiting PhD Researcher
Tampere University - ESA Rahtu Group
PhD period abroad working with a Volumetric Capture system for creating a synthetic dataset of human characters.
- Automated animation for volumetric scans
- Automatic rigging and skinning of captured characters
- Cloth animation and conversion of scans into virtual characters for virtual environments
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2021 - Present Trento, Italy
University Teaching Assistant
University of Trento
Teaching assistant and tutor for courses and projects in Computer Vision, Sport Technology and related topics.
- Teaching Assistant for Computer Vision Course (A.A. 2021/2022, 2022/2023, 2023/2024)
- Laboratory Tutor for Sport Tech Course (A.A. 2024/2025)
- Supervision of Master theses
- Supervisor for Multisensory Interactions Laboratory
- Supervision of Motion Capture, Computer Vision and Sport Tech projects
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2020.11 - 2021.10 Trento, Italy
Post-degree Research Scholarship
University of Trento
Research at the intersection of human pose estimation and gender recognition.
- Development of a gender recognition algorithm based on pose detection and motion analysis
- Human pose estimation from top-view RGB images
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2016.09 - 2017.01 Cagliari, Italy
Education
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2021.11 - 2025.04 Trento, Italy
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2016 - 2020 Trento, Italy
Master’s Degree
University of Trento
Mechatronics Engineering (Curriculum: Electronics and Robotics)
- Computer Vision
- Systems and techniques for digital signal processing
- Embedded systems
- Modeling and design with finite elements
- Robotic Perception and Action
- Design and Control of Product and Process
- Distributed systems for measurement and automation
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2013 - 2017 Cagliari, Italy
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Iglesias, Italy
High School Diploma
Istituto di Istruzione Superiore "G. Asproni - Iglesias"
Scientific High School Diploma
Publications
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2025 Breaking the Game: A Low-Cost System for 3D Human and Ball Pose Estimation in Basketball
IEEE International Workshop on Sport Technology and Research (STAR 2025)
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2025 Comparing IMU and Optical Motion Capture System for Sport Biomechanics
IEEE International Workshop on Sport Technology and Research (STAR 2025)
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2025 Tracking Volleyball Players from a Multi-Camera Top-View Setup
IEEE International Workshop on Sport Technology and Research (STAR 2025)
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2025 Learning to Judge Motion: Likelihood-Based Evaluation with Normalizing Flows
European Workshop on Visual Information Processing (EUVIP 2025)
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2025 Build-A-Volcap: Automated Synthetic Validation of Real-world Volumetric Capture Quality
IEEE International Conference on Image Processing (ICIP 2025)
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2024 Skeleton-Aware Motion Retargeting Using Masked Pose Modeling
European Conference on Computer Vision (ECCV)
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2024 MoMa: Skinned motion retargeting using masked pose modeling
Computer Vision and Image Understanding (CVIU), Volume 249
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2024 EPOCH: Jointly Estimating the 3D Pose of Cameras and Humans
European Conference on Computer Vision (ECCV)
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2024 ALL SKELETONS ARE CREATED EQUAL! A DOMAIN ADAPTATION TRANSFORMER TO HANDLE MULTIPLE TOPOLOGIES
IEEE International Conference on Image Processing (ICIP 2024)
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2024 Ski Pose Estimation
IEEE International Workshop on Sport Technology and Research (STAR)
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2023 UNPOSED: an Ultra-wideband Network for Pose Estimation with Deep Learning
IEEE International Workshop on Metrology for Industry 4.0 & IoT
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2023 Meta-Trainer: An Augmented Reality Trainer for Home Fitness with Real-Time Feedback
IEEE International Workshop on Sport, Technology and Research (STAR)
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2023 A Case Study for the Automatic Supervision of Body-Weight Exercises: The Squat
IEEE International Workshop on Sport, Technology and Research (STAR)
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2022 Gender Recognition from 3D Shape Parameters
International Conference on Image Analysis and Processing (ICIAP)
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2021 PanopTOP: a framework for generating viewpoint-invariant human pose estimation datasets
IEEE/CVF International Conference on Computer Vision (ICCV)
Skills
| Programming Languages | |
| Python | |
| C# | |
| R | |
| Ruby | |
| MATLAB | |
| HTML |
| Software & Tools | |
| Simulink | |
| AppDesigner | |
| COMSOL Multiphysics | |
| Maple | |
| SolidWorks | |
| Autodesk Inventor | |
| Unity | |
| Unreal Engine | |
| Adobe Photoshop | |
| Adobe Illustrator | |
| Git | |
| Linux | |
| OptiTrack Motive | |
| Volumetric Capture System | |
| Character Creator | |
| Autodesk Maya | |
| Autodesk 3ds Max | |
| Autodesk MotionBuilder | |
| Blender | |
| Wrap | |
| Faceform |
| Frameworks & Libraries | |
| OpenCV | |
| scikit-learn | |
| NumPy | |
| Pandas | |
| SciPy | |
| Matplotlib |
| Research Areas | |
| Computer Vision | |
| Computer Graphics | |
| Digital Humans | |
| Motion Capture | |
| Motion Retargeting | |
| Sports Analytics |
Languages
| Italian | |
| Mother tongue |
| English | |
| C1 |
Interests
| Computer Vision & Digital Humans | ||||
| Human motion modelling | ||||
| Digital human animation | ||||
| Sports technology | ||||