Alessio Tonioni

Orcid: 0000-0003-3358-9686

According to our database1, Alessio Tonioni authored at least 31 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Snap-it, Tap-it, Splat-it: Tactile-Informed 3D Gaussian Splatting for Reconstructing Challenging Surfaces.
CoRR, 2024

InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes.
CoRR, 2024

2023
Learning Good Features to Transfer Across Tasks and Domains.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Batch normalization embeddings for deep domain generalization.
Pattern Recognit., 2023

Text-Conditioned Resampler For Long Form Video Understanding.
CoRR, 2023

LIME: Localized Image Editing via Attention Regularization in Diffusion Models.
CoRR, 2023

TouchSDF: A DeepSDF Approach for 3D Shape Reconstruction using Vision-Based Tactile Sensing.
CoRR, 2023

TextMesh: Generation of Realistic 3D Meshes From Text Prompts.
CoRR, 2023

LatentSwap3D: Semantic Edits on 3D Image GANs.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

NeRF-GAN Distillation for Efficient 3D-Aware Generation with Convolutions.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

NeRF-Supervised Deep Stereo.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Continual Adaptation for Deep Stereo.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

ParGAN: Learning Real Parametrizable Transformations.
CoRR, 2022

2021
LegoFormer: Transformers for Block-by-Block Multi-view 3D Reconstruction.
CoRR, 2021

Unsupervised Novel View Synthesis from a Single Image.
CoRR, 2021

2020
Semiautomatic Labeling for Deep Learning in Robotics.
IEEE Trans Autom. Sci. Eng., 2020

Unsupervised Domain Adaptation for Depth Prediction from Images.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

A Divide et Impera Approach for 3D Shape Reconstruction from Multiple Views.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
Computer Vision and Deep Learning for retail store management.
PhD thesis, 2019

Real-Time Highly Accurate Dense Depth on a Power Budget Using an FPGA-CPU Hybrid SoC.
IEEE Trans. Circuits Syst. II Express Briefs, 2019

Domain invariant hierarchical embedding for grocery products recognition.
Comput. Vis. Image Underst., 2019

Semi-Automatic Labeling for Deep Learning in Robotics.
CoRR, 2019

Learning Across Tasks and Domains.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Real-Time Self-Adaptive Deep Stereo.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning to Adapt for Stereo.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Learning to Detect Good 3D Keypoints.
Int. J. Comput. Vis., 2018

A deep learning pipeline for product recognition on store shelves.
Proceedings of the IEEE International Conference on Image Processing, 2018

Exploiting semantics in adversarial training for image-level domain adaptation.
Proceedings of the IEEE International Conference on Image Processing, 2018

2017
Product Recognition in Store Shelves as a Sub-Graph Isomorphism Problem.
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

Unsupervised Adaptation for Deep Stereo.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning confidence measures in the wild.
Proceedings of the British Machine Vision Conference 2017, 2017


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