Alessio Tonioni
I’m a researcher in computer vision and deep learning and I’m currently working with Federico Tombari at Google Zurich. Previously I was enrolled as a post doc at the Computer Vision Lab of the university of Bologna under the supervision of Professor Luigi Di Stefano.
I received my PhD in Computer Science and Engineering from University of Bologna on April 2019. During my PhD I have worked on deep learning solutions for product detection and recognition in retail environments and on deep learning applied to depth estimation from stereo and monocular cameras.
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Google
Snap-it, Tap-it, Splat-it: Tactile-Informed 3D Gaussian Splatting for Reconstructing Challenging Surfaces
Mauro Comi
Max Yang
Jonathan Tremblay
Valts Blukis
Yijiong Lin
Nathan Lepora
Laurence Aitchison
2025
TouchSDF: A DeepSDF Approach for 3D Shape Reconstruction Using Vision-Based Tactile Sensing
Mauro Comi
Yijiong Lin
Alex Church
Laurence Aitchison
Nathan Lepora
IEEE Robotics and Automation Letters (2024)
TextMesh: Generation of Realistic 3D Meshes From Text Prompts
Christina Tsalicoglou
Fabian Manhardt
Michael Niemeyer
3DV 2024 (2024)
LatentSwap3D: Swapping Latent Codes for Semantic Edits
Enis Simsar
Evin Pınar Örnek
Proceedings of the IEEE/CVF International Conference on Computer Vision (2023)
NeRF-Supervised Deep Stereo
Fabio Tosi
Daniele De Gregorio
Matteo Poggi
Computer Vision and Pattern Recognition (2023)
NeRF-GAN Distillation for Efficient 3D-Aware Generation with Convolutions
Mohamad Shahbazi
Evangelos Ntaveli
Edo Collins
Danda Pani Paudel
Martin Danelljan
Luc Van Gool
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops (2023)
Learning good features to transfer across tasks and domains
Adriano Cardace
Luca De Luigi
Luigi Di Stefano
Pierluigi Zama Ramirez
Samuele Salti
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) (to appear)
Continual Adaptation for Deep Stereo
Fabio Tosi
Luigi Di Stefano
Matteo Poggi
Stefano Mattoccia
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) (to appear)
