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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
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Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
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publications
Learning confidence measures in the wild
Authors: Fabio Tosi, Matteo Poggi, Alessio Tonioni, Luigi Di Stefano, & Stefano Mattoccia
Published in 28th British Machine Vision Conference (BMVC 2017), 2017
In this paper we propose a methodology suited for training a confidence measure for stereo in a self-supervised manner.
Product recognition in store shelves as a sub-graph isomorphism problem
Authors: Alessio Tonioni and Luigi Di Stefano
Published in International Conference on Image Analysis and Processing, 2017
In this paper, we propose a computer vision pipeline to recognize products on shelves and verify compliance to the planned layout.
Unsupervised Adaptation For Deep Stereo
Authors: Alessio Tonioni, Matteo Poggi, stefano Mattoccia and Luigi Di Stefano
Published in Proceedings of the IEEE International Conference on Computer Vision, 2017
In this paper we propose a novel unsupervised adaptation approach that enables to fine-tune a deep learning stereo model without any ground-truth information.
Learning to detect good 3D keypoints
Authors: Alessio Tonioni, Samuele Salti, Federico Tombari, Riccardo Spezialetti and Luigi Di Stefano
Published in International Journal of Computer Vision, 2018
In this paper we learn a descriptor-specific 3D keypoint detector so as to optimize the end-to-end performance of a feature matching pipeline
A deep learning pipeline for product recognition in store shelves
Authors: Alessio Tonioni, Eugenio Serra and Luigi Di Stefano.
Published in International Conference on Image Processing, Applications and Systems, 2018
In this paper, we propose a deep learning pipeline to recognize products on grocery shelves that can scale effortlessly to thousand of different products to recognize.
Exploiting Semantics in Adversarial Training for Image-Level Domain Adaptation
Authors: Pierluigi Zama Ramirez, Alessio Tonioni and Luigi Di Stefano
Published in International Conference on Image Processing, Applications and Systems, 2018
In this paper, we address the problem of domain adaptation for computer vision by learning a domain-to-domain image translation GAN. Peculiarly to our method, we introduce semantic constraints into the generation process to both avoid artifacts and guide the synthesis
Real-Time Highly Accurate Dense Depth on a Power Budget using an FPGA-CPU Hybrid SoC
Authors: Oscar Rahnama, Tommaso Cavallari, Stuart Golodetz, Alessio Tonioni, Thomas Joy, Luigi Di Stefano, Simon Walker, and Philip HS Torr
Published in IEEE Transactions on Circuits and Systems II: Express Briefs , 2019
In this paper, we leverage a FPGA-CPU chip to propose a novel, sophisticated, stereo approach that combines the best features of SGM and ELAS-based methods to compute highly accurate dense depth in real time.
Domain invariant hierarchical embedding for grocery products recognition
Authors: Alessio Tonioni and Luigi Di Stefano
Published in Computer Vision and Image Understanding, 2019
In this paper we introduce a” deep learning architecture to effectively learn embedddings relying only on few samples and in presence of domain shifts.
Learning to Adapt for Stereo
Authors: Alessio Tonioni, Oscar Rahnama, Thomas Joy, Luigi Di Stefano, Thalaiyasingam Ajanthan, and Philip HS Torr.
Published in Conference on Computer Vision and Pattern Recognition, 2019
In this paper we introduce a” learning-to-adapt” framework that enables deep stereo methods to continuously adapt to new target domains in an unsupervised manner.
Real-time self-adaptive deep stereo
Authors: Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia and Luigi Di Stefano
Published in Conference on Computer Vision and Pattern Recognition, 2019
In this paper we propose a real-time self adaptive deep stereo system.
Semi-Automatic Labeling for Deep Learning in Robotics
Authors: Daniele De Gregorio, Alessio Tonioni, Gianluca Palli and Luigi Di Stefano
Published in IEEE Transactions on Automation Science and Engineering , 2019
In this paper, we propose Augmented Reality Semi-automatic labeling (ARS), a semi-automatic method to create large labeled datasets with minimal human intervention
Learning Across Tasks and Domains
Authors: Pierluigi Zama Ramirez, Alessio Tonioni, Samuele Salti and Luigi Di Stefano
Published in International Conference on Computer Vision, 2019
In this work, we introduce a novel adaptation framework that can operate across both task and domains.
Unsupervised Domain Adaptation for Depth Prediction from Images
Authors: Alessio Tonioni, Matteo Poggi, Stefano Mattoccia and Luigi Di Stefano
Published in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
In this paper we extend our previous unsupervised adaptation approach to fine-tune a deep learning stereo or mono model without any ground-truth information.
Continual Adaptation for Deep Stereo
Authors: Matteo Poggi, Alessio Tonioni, Fabio Tosi, Stefano Mattoccia and Luigi Di Stefano
Published in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
In this paper we propose an etension of our real-time self adaptive deep stereo system.
A Divide et Impera Approach for 3D Shape Reconstruction from Multiple Views
Authors: Riccardo Spezialetti, David Joseph Tan, Alessio Tonioni, Keisuke Tateno and Federico Tombari
Published in International Conference on 3D Vision, 2020
A deep learning pipeline for multi view reconstruction.
Unsupervised Novel View Synthesis from a Single Image
Authors: Pierluigi Zama Ramirez, Alessio Tonioni and Federico Tombari
Published in Arxive, 2021
An unsupervised approach for novel view synthesis.
LegoFormer: Transformers for Block-by-Block Multi-view 3D Reconstruction
Authors: Farid Yagubbayli, Alessio Tonioni and Federico Tombari
Published in Arxive, 2021
Transformers for voxel based 3D reconstruction.
ParGAN: Learning Real Parametrizable Transformations
Authors: Diego Martin Arroyo, Alessio Tonioni, Federico Tombari
Published in Arxive, 2022
Parametrizable CycleGAN.
LatentSwap3D: Semantic Edits on 3D Image GANs
Authors: Enis Simsar, Alessio Tonioni, Evin Pınar Örnek, Federico Tombari
Published in ICCV23W, 2022
Semantic edits in the latent space of Nerf based gan.
Learning Good Features to Transfer Across Tasks and Domains
Authors: Pierluigi Zama Ramirez, Adriano Cardace, Luca De Luigi, Alessio Tonioni, Samuele Salti, Luigi Di Stefano
Published in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
In this work, we extend an adaptation framework that can operate across both task and domains.
Batch Normalization Embeddings for Deep Domain Generalization
Authors: Mattia Segù, Alessio Tonioni and Federico Tombari
Published in Pattern Recognition, 2023
An embedding based approach for deep domain generalization.
NeRF-GAN Distillation for Efficient 3D-Aware Generation with Convolutions
Authors: Mohamad Shahbazi, Evangelos Ntavelis, Alessio Tonioni, Edo Collins, Danda Pani Paudel, Martin Danelljan, Luc Van Gool
Published in ICCV23W, 2023
StyleGan like network can approximate NerfGAN.
NeRF-Supervised Deep Stereo
Authors: Fabio Tosi, Alessio Tonioni, Daniele De Gregorio, Matteo Poggi
Published in CVPR23, 2023
NeRF makes great groundtruth for stereo systems.
TextMesh: Generation of Realistic 3D Meshes From Text Prompts
Authors: Christina Tsalicoglou, Fabian Manhardt, Alessio Tonioni, Michael Niemeyer, Federico Tombari
Published in 3DV24, 2023
Turning Tetx prompt into full 3D meshes
TouchSDF: A DeepSDF Approach for 3D Shape Reconstruction using Vision-Based Tactile Sensing
Authors: Mauro Comi, Yijiong Lin, Alex Church, Alessio Tonioni, Laurence Aitchison, Nathan F Lepora
Published in IEEE Robotics and Automation Letters (2024), 2023
Touch sensors meet 3D computer vision
LIME: Localized Image Editing via Attention Regularization in Diffusion Models
Authors: Enis Simsar, Alessio Tonioni, Yongqin Xian, Thomas Hofmann, Federico Tombari
Published in Arxive, 2023
Attenton modulation is all you need for precise image editing
Text-Conditioned Resampler For Long Form Video Understanding
Authors: Bruno Korbar, Yongqin Xian, Alessio Tonioni, Andrew Zisserman, Federico Tombari
Published in Arxive, 2023
Let large language models see videos
InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes
Authors: Mohamad Shahbazi, Liesbeth Claessens, Michael Niemeyer, Edo Collins, Alessio Tonioni, Luc Van Gool, Federico Tombari
Published in Arxive, 2024
Adding 3D objects in scenes out of tin air
Snap-it, Tap-it, Splat-it: Tactile-Informed 3D Gaussian Splatting for Reconstructing Challenging Surfaces
Authors: Mauro Comi, Alessio Tonioni, Max Yang, Jonathan Tremblay, Valts Blukis, Yijiong Lin, Nathan F Lepora, Laurence Aitchison
Published in Arxive, 2024
Touch meet vision for 3D reconstrunction
BRAVE: Broadening the visual encoding of vision-language models
Authors: Oğuzhan Fatih Kar, Alessio Tonioni, Petra Poklukar, Achin Kulshrestha, Amir Zamir, Federico Tombari
Published in Arxive, 2024
Ensembling for LMM
talks
Deep Learning For Computer Vision
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A divulgative introduction to deep learning for computer vision @ Bologna Big Data Meetup.
Real-time self-adaptive deep stereo
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I’m going to present our work Real-time self-adaptive deep stereo on how to deploy deep stereo model for depth estimation in realistic conditions.
teaching
Academic Tutor
Undergraduate course, University of Bologna, computer engineering course, 2019
I have been academic tutor for the courses:
- Computer Vision and Image Processing M - 2016/2017
- Computer Vision and Image Processing M - 2017/2018
- Reti Logiche T - 2019/2020
Corporate Trainer
Corporate Training Course, Fondazione Aldini Valeriani, 2019
Corporate Trainer for Fondazione Aldini Valeriani on Machine-Deep Learning.