Computer Vision Research Scientist · PhD

Zeno Sambugaro

EVS Embedded Vision Systems · Verona, Italy

About

I'm a computer vision engineer based in Verona, Italy. These days I build industrial vision systems at EVS, everything from the camera rig to the model running on the edge and spend a lot of my time thinking about multi-view geometry and image quality for deep-learning-based monitoring. Most recently, I developed the 3D human-mesh reconstruction algorithms behind a live demo that was shown at CES 2026 in Las Vegas.

Before EVS, I did a PhD in computer vision at the University of Trento, with a research detour at Simon Fraser University working on neural fields. I still enjoy following that world and occasionally publish in it.

If you want to get in touch, the easiest way is by email — you can also find my code on GitHub, my papers on Google Scholar, or grab a copy of my CV.

Experience

Computer Vision Research Scientist

EVS Embedded Vision Systems · Verona, Italy

At EVS, I build in-cabin occupant monitoring systems for autonomous driving, covering the full pipeline from data to a deployed model running on TensorFlow Lite and ONNX. Along the way I've built real-time object detectors (YOLO, DETR) tuned for embedded hardware, and designed a 3D human pose and shape estimation system (SMPL) that relies on precise multi-view geometry and camera calibration to read movement in 3D space. Most recently, I led the core algorithms behind a 3D human-mesh reconstruction system that we demoed live at CES 2026 in Las Vegas.

Visiting Researcher

Simon Fraser University · Vancouver, Canada

For six months, I worked in the GrUVi Lab at Simon Fraser University under Prof. Andrea Tagliasacchi, developing a new method for fast, efficient 3D rendering and representation built on Instant-NGP. That work was later published at ECCV 2024.

Education

PhD, Computer Vision

University of Trento · Trento, Italy

Thesis: “The Role of Interpretable Neural Architectures: From Image Classification to Neural Fields.” Advised by Prof. Nicola Conci.

MS, Information and Communication Engineering

University of Trento · Trento, Italy

Final grade: 110/110 cum laude. Thesis: “Out-of-Distribution Detection in Videos Using a Union of 1-Dimensional Subspaces.”

BS, Information and Communication Engineering

University of Trento · Trento, Italy

Selected Work

Lagrangian Hashing teaser

Lagrangian Hashing for Compressed Neural Field Representations

Shrisudhan Govindarajan*, Zeno Sambugaro*, Akhmedkhan Shabanov, Towaki Takikawa, Daniel Rebain, Weiwei Sun, Nicola Conci, Kwang Moo Yi, Andrea Tagliasacchi
*equal contribution

ECCV 2024

Agglomerator++ figure

Agglomerator++: Interpretable Part-Whole Hierarchies and Latent Space Representations in Neural Networks

Zeno Sambugaro, Nicola Garau, Niccolo Bisagno, Nicola Conci

Computer Vision and Image Understanding (CVIU), 2024

Ital-IA
2024

3D Reconstruction Methods in Industrial Settings: a Comparative Study for COLMAP, NeRF and 3D Gaussian Splatting

Zeno Sambugaro, Lorenzo Orlandi, Nicola Conci

Ital-IA 2024

Interpretable part-whole hierarchies figure

Interpretable Part-Whole Hierarchies and Conceptual-Semantic Relationships in Neural Networks

Nicola Garau, Niccolo Bisagno, Zeno Sambugaro, Nicola Conci

CVPR 2022

SinGAN-3D figure

SinGAN-3D: Towards Unconditioned 3D Shapes Generation

Zeno Sambugaro, Marco Merlin, Nicola Conci

IVMSP 2022

Out-of-distribution detection figure

Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces

Alireza Zaeemzadeh, Niccolo Bisagno, Zeno Sambugaro, Nicola Conci, Nazanin Rahnavard, Mubarak Shah

CVPR 2021

Selected Projects

Image Regression with Neural Networks

Developed an image regression pipeline to evaluate performance and develop a novel solution in the field of continuous signal regression. Tools: CUDA, Python.

SVD-DWT Watermark Embedding

Implemented a MATLAB algorithm to embed a watermark into an image using SVD and DWT decomposition.

Academic Service

Reviewer: ICIP 2021, ICIP 2022, CVPR 2023, CVPR 2024