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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
ClayCode, 2025
Published:
ClayCode is the intersection of creativity and programming. Just like sculpting clay, coding allows you to shape ideas into functional and beautiful creations. Whether you’re building websites, apps, or tools, the process of coding can be as artistic as it is technical.
HePIC Dataset, 2023
Published:
The HePIC dataset is a comprehensive collection of information about heritage buildings. It aims to document and preserve the architectural and cultural significance of historical structures. The dataset includes detailed metadata, photographs, and structural information, making it a valuable resource for researchers, historians, and conservationists.
It’s Girls DEI, 2021
Published:
I recently uploaded a new video on my YouTube channel titled “It’s Girls Dei.” In this video, I share some exciting moments and insights about what makes this day so special. If you haven’t watched it yet, make sure to check it out and let me know your thoughts in the comments!
VenetoNight, 2019
Published:
VenetoNight 2019 was an incredible event celebrating science, research, and innovation. Held on September 27, it brought together researchers, students, and the public to explore the fascinating world of scientific discovery.
portfolio
BigRock Collection
Portfolio of Artworks created during Master in CG at BigRock 
Reel Portfolio
Reel Portfolio 
publications
Mixed Reality Applications in Medical Therapy
Published in BSc Thesis, 1900
Moving Drones for Wireless Coverage in a Three-Dimensional Grid Analyzed via Game Theory
Published in 2021 IEEE Asia Pacific Conference on on Circuits and Systems (APCCAS), 1900
This paper analyzes the movement of drones for wireless coverage in a 3D grid using game theory.
Recommended citation: Camuffo, E., Gorghetto, L., & Badia, L. (2021). "Moving Drones for Wireless Coverage in a Three-Dimensional Grid Analyzed via Game Theory." In Proceedings of the 2021 IEEE Asia Pacific Conference on on Circuits and Systems (APCCAS).
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Curriculum and Contrastive Learning in LiDAR Semantic Segmentation
Published in MSc Thesis, 1900
3D Model Optimization for Immersive and Interactive Applications
Published in European Workshop on Visual Information Processing (EUVIP), 1900
Questo articolo presenta strategie per ottimizzare modelli 3D profondi al fine di migliorare le prestazioni in applicazioni immersive e interattive.
Recommended citation: Camuffo, E., Battisti, F., Pham, F., & Milani, S. (2022). "3D Model Optimization for Immersive and Interactive Applications." European Workshop on Visual Information Processing (EUVIP).
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Recent Advancements in Learning Algorithms for Point Clouds: An Updated Overview
Published in Sensors, 1900
This paper provides an updated overview of recent advancements in learning algorithms for point clouds.
Recommended citation: Camuffo, E., Mari, D., & Milani, S. (2022). "Recent Advancements in Learning Algorithms for Point Clouds: An Updated Overview." Sensors, 22(4), 1357.
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CACTUS: Content-Aware Compression and Transmission Using Semantics for Automotive LiDAR Data
Published in Sensors, 1900
This article presents CACTUS, a method for compressing and transmitting automotive LiDAR data based on semantic content awareness, improving efficiency without compromising quality.
Recommended citation: Mari, D., Camuffo, E., & Milani, S. (2023). "CACTUS: Content-Aware Compression and Transmission Using Semantics for Automotive LiDAR Data." Sensors, 23(1), 1234.
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Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine Strategies on Sparse Data
Published in International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 1900
This study explores continual learning approaches for LiDAR semantic segmentation, focusing on class-incremental and coarse-to-fine strategies to manage sparse data.
Recommended citation: Camuffo, E., & Milani, S. (2023). "Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine Strategies on Sparse Data." International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
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FFT-based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images
Published in International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 1900
This paper proposes an FFT-based method to select and optimize statistical features, enhancing the recognition of images with severe corruptions.
Recommended citation: Camuffo, E., Michieli, U., Moon, J. J., Kim, D., & Ozay, M. (2023). "FFT-based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images." International Conference on Acoustics, Speech, and Signal Processing (ICASSP).
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Learning from Mistakes: Self-Regularizing Hierarchical Representations in Point Cloud Semantic Segmentation
Published in Transactions on Multimedia (TMM), 1900
This study introduces a self-regularizing approach for point cloud semantic segmentation, enabling the model to learn from mistakes and improve hierarchical representations.
Recommended citation: Camuffo, E., Michieli, U., & Milani, S. (2023). "Learning from Mistakes: Self-Regularizing Hierarchical Representations in Point Cloud Semantic Segmentation." Transactions on Multimedia (TMM), 25(1), 567-578.
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Fully Automated Scan-to-BIM via Point Cloud Instance Segmentation
Published in International Conference on Image Processing (ICIP), 1900
This research introduces a fully automated method for Scan-to-BIM processes using point cloud instance segmentation to enhance building information modeling.
Recommended citation: Campagnolo, D., Camuffo, E., Michieli, U., Borin, P., Milani, S., & Giordano, A. (2023). "Fully Automated Scan-to-BIM via Point Cloud Instance Segmentation." International Conference on Image Processing (ICIP).
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Continual Road-Scene Semantic Segmentation via Feature-Aligned Symmetric Multi-Modal Network
Published in International Conference on Image Processing (ICIP), 1900
This work presents a multi-modal network for continual semantic segmentation of road scenes, aligning features symmetrically to handle new data effectively.
Recommended citation: Barbato, F., Camuffo, E., Milani, S., & Zanuttigh, P. (2024). "Continual Road-Scene Semantic Segmentation via Feature-Aligned Symmetric Multi-Modal Network." International Conference on Image Processing (ICIP).
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Enhanced Model Robustness to Input Corruptions by Per-corruption Adaptation of Normalization Statistics
Published in International Conference on Intelligent Robots and Systems (IROS), 1900
This paper introduces a method to improve model robustness against input corruptions by adapting normalization statistics for each specific corruption type.
Recommended citation: Camuffo, E., Michieli, U., Milani, S., Moon, J. J., & Ozay, M. (2024). "Enhanced Model Robustness to Input Corruptions by Per-corruption Adaptation of Normalization Statistics." International Conference on Intelligent Robots and Systems (IROS).
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Age of Information for Quantum Communication Channels with Monogamy of Entanglement
Published in International Mediterranean Conference on Communications and Networking (MeditCOM), 1900
Recommended citation: Jabrayilova A., Camuffo E., Crosara L., & Badia L., "Age of Information for Quantum Communication Channels with Monogamy of Entanglement", International Mediterranean Conference on Communications and Networking (MeditCOM), 2025.
Claycode: Stylable and Deformable 2D Scannable Codes
Published in Transactions on Graphics (TOG), 1900
This paper proposes a novel 2D scannable code with improved personalizability.
Recommended citation: Maida M., Crescini A., Perronet M, & Camuffo E., "Claycode: Stylable and Deformable 2D Scannable Codes", Transactions on Graphics (TOG), 2025. [Oral presentation at SIGGRAPH 2025, video selected for CAF Teaser].
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Robust Visual Representation across modalities in Semantic Scene Understanding
Published in PhD Thesis, 1900
SAGE: Semantic-Driven Adaptive Gaussian Splatting in Extended Reality
Published in European Signal Processing Conference (EUSIPCO), 1900
A novel approach leveraging semantic-driven techniques to enhance Gaussian splatting for immersive extended reality applications.
Recommended citation: Schiavo C., Camuffo E., Badia L., & Milani S., "SAGE: Semantic-Driven Adaptive Gaussian Splatting in Extended Reality", European Signal Processing Conference (EUSIPCO), 2025.
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teaching
3D Vision and Extended Reality
Undergraduate course, M.Sc. in Internet and Multimedia Engineering, University of Padova, 1900
This course (taught 2019–2024) provided an introduction to the principles of 3D vision and extended reality (XR), emphasizing practical applications and development using Unity3D. Key topics included 3D reconstruction, virtual environments, interaction techniques and machine learning.
GitHub repository.
Other Teaching Experiences
Undergraduate courses, M.Sc. in Internet and Multimedia Engineering, University of Padova, 2021
- Digital Forensis (2019–2020): Explored the intersection of digital tools and forensic analysis.
- Immersive and Interactive Multimedia (2020–2021): Focused on creating engaging multimedia experiences.
- Usability and User Experience (2020–2021): Covered principles and practices for designing user-friendly systems.
High School Activity
PCTO Program, Various High Schools, 2023
This course was led in high school to introduce the fundamentals of machine learning and computer vision through an engaging mix of theory, hands-on coding, and interactive examples. Delivered as part of a science outreach initiative, it is designed to make AI concepts accessible, fun, and visually intuitive.