Zeno Sambugaro

I am a postdoctoral researcher at the University of Verona, collaborating with EVS (Embedded Vision Systems), where I focus on 3D reconstruction and human pose estimation. My research is positioned at the intersection of machine learning, computer vision, and computer graphics.

I completed my Ph.D. at the University of Trento under the supervision of Prof. Nicola Conci. During my doctoral studies, I explored topics such as learning interpretable representations in neural networks and developing efficient 3D neural representations.

I also had the opportunity to spend four months at Simon Fraser University, advised by Prof. Andrea Tagliasacchi.

Email / CV / Google Scholar / Github

Research

I am interested in computer vision, machine learning, and computer graphics.

	Lagrangian Hashing for Compressed Neural Field Representations Shrisudhan Govindarajan, Zeno Sambugaro, Ahan Shabanov, Towaki Takikawa, Daniel Rebain, Weiwei Sun, Nicola Conci, Kwang Moo Yi, Andrea Tagliasacchi equal contribution ECCV 2024* arXiv / Page
	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 Journal arXiv / Code
	Interpretable part-whole hierarchies and conceptual-semantic relationships in neural networks Nicola Garau, Niccolo Bisagno, Zeno Sambugaro, Nicola Conci CVPR 2022 arXiv / Code
	Out-of-distribution detection using union of 1-dimensional subspaces A Zaeemzadeh, Niccolo Bisagno, Zeno Sambugaro, Nicola Conci, Nazanin Rahnavard, Mubarak Shah CVPR 2021 arXiv / Code
	SinGAN-3D: towards unconditioned 3D shapes generation Zeno Sambugaro, Marco Merlin, Nicola Conci IVMSP 2022 arXiv / Code

Academic Service

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

Source code based on Jon Barron's website.