Elena Camuffo

Education

University of Padova, Padova, Italy

• Ph.D. in Information Engineering (2021 – 2024)
  Advisor: Prof. Simone Milani
  Thesis: "Robust Visual Representation across Modalities in Semantic Scene Understanding".
  Published 10+ papers in International Journals and Conferences.
• M.Sc. in Internet and Multimedia Engineering (2019 – 2021)
  GPA: 30/30 - Grade: 110/110 with Honors.
  Thesis: “Curriculum Learning for LiDAR Semantic Segmentation”.
• B.Sc. in Information Engineering (2016 – 2019)
  Thesis: “Mixed Reality Applications in Medical Therapy” - MR application for HoloLens in collaboration with Dreamship Studios s.r.l.

BigRock Institute of Magic Technologies, Treviso, Italy

• Master in Computer Graphics (2024 – 2025)
  Professional training in technical and artistic skills for 3D Computer Graphics.
  Certified in Autodesk Maya. [portfolio]

Work Experience

Postdoctoral Research Scientist (2024 – Present)

• University of Padova, Padova, Italy
  Conducted research in 3D Computer Vision, VR/AR Optimization, Multimodal Scene Understanding, and Visual Representation Learning.
  Supervised and mentored M.Sc. and Ph.D. students.

AI and Graphics Research Intern (2023 – 2024)

• Samsung Research, London, UK
  Advisor: Dr. Mete Ozay
  Improved existing algorithms for efficient personalized object detection and recognition.
  Developed on-device solutions.
  Published 2 papers and filed 1 patent.

Teaching Assistant (2019 – 2024) [teaching]

• University of Padova, Padova, Italy
  Prepared and taught lab lectures in courses such as “3D Vision and eXtended Reality,” “Digital Forensics,” “Digital and Interactive Multimedia,” and “Usability and User Experience.”
  Over 4 years of teaching Unity.

Unity (C#) Developer (2022)

• Uqido S.R.L., Padova, Italy
  Developed a VR application for Quest 2 in collaboration with the Department of Pharmaceutical Sciences.

Skills

• Languages: Italian (C2), English (C1), French (A2)
• Programming: Python, C++, MATLAB, C, C#, Bash, TensorFlow, PyTorch, OpenCV
• Software: Autodesk Maya, Blender, Unreal Engine (C++), Unity (C#), Houdini, Adobe Photoshop, Marvelous Designer, Substance Painter, ZBrush
• Soft Skills: Public speaking, Mentoring, Teamwork, and Project management

Awards

• Video selected for Computer Animation Festival (CAF) Teaser, SIGGRAPH, Vancouver, 2025
• Best Student Presentation, APCCAS conference, Taiwan, 2021
• Scholarship - Best Student Award, Seasonal School AIRONE, Scuola Superiore S.Anna, Pisa, Italy, 2021

Publications [view all]

• Schiavo C., Camuffo E., Badia L., & Milani S., "SAGE: Semantic-Driven Adaptive Gaussian Splatting in Extended Reality", European Signal Processing Conference (EUSIPCO), 2025.
• 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].
• 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.
• 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).
• 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).
• 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).
• 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.
• 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).
• 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).
• Mari, D., Camuffo, E., & Milani, S. (2023). "CACTUS: Content-Aware Compression and Transmission Using Semantics for Automotive LiDAR Data." Sensors, 23(1), 1234.
• Camuffo, E., Mari, D., & Milani, S. (2022). "Recent Advancements in Learning Algorithms for Point Clouds: An Updated Overview." Sensors, 22(4), 1357.
• Camuffo, E., Battisti, F., Pham, F., & Milani, S. (2022). "3D Model Optimization for Immersive and Interactive Applications." European Workshop on Visual Information Processing (EUVIP).
• 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).