Tiziano Portenier

According to our database, Tiziano Portenier authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Generative feature-driven image replay for continual learning.

Kevin Thandiackal, Tiziano Portenier, Andrea Giovannini, Maria Gabrani, Orcun Goksel

Image Vis. Comput., 2024

2023

Unpaired Translation from Semantic Label Maps to Images by Leveraging Domain-Specific Simulations.

Lin Zhang, Tiziano Portenier, Orcun Goksel

CoRR, 2023

2021

Modality attention and sampling enables deep learning with heterogeneous marker combinations in fluorescence microscopy.

Alvaro Gomariz, Tiziano Portenier, Patrick M. Helbling, Stephan Isringhausen, Ute Suessbier, César Nombela-Arrieta, Orcun Goksel

Nat. Mach. Intell., 2021

Match What Matters: Generative Implicit Feature Replay for Continual Learning.

Kevin Thandiackal, Tiziano Portenier, Andrea Giovannini, Maria Gabrani, Orcun Goksel

CoRR, 2021

Probabilistic Spatial Analysis in Quantitative Microscopy with Uncertainty-Aware Cell Detection using Deep Bayesian Regression of Density Maps.

Alvaro Gomariz, Tiziano Portenier, César Nombela-Arrieta, Orcun Goksel

CoRR, 2021

Learning ultrasound rendering from cross-sectional model slices for simulated training.

Lin Zhang, Tiziano Portenier, Orcun Goksel

Int. J. Comput. Assist. Radiol. Surg., 2021

Content-Preserving Unpaired Translation from Simulated to Realistic Ultrasound Images.

Devavrat Tomar, Lin Zhang, Tiziano Portenier, Orcun Goksel

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Utilizing Uncertainty Estimation in Deep Learning Segmentation of Fluorescence Microscopy Images with Missing Markers.

Alvaro Gomariz, Raphael Egli, Tiziano Portenier, César Nombela-Arrieta, Orcun Goksel

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Learning Generative Models using Denoising Density Estimators.

Siavash Arjomand Bigdeli, Geng Lin, Tiziano Portenier, L. Andrea Dunbar, Matthias Zwicker

CoRR, 2020

GramGAN: Deep 3D Texture Synthesis From 2D Exemplars.

Tiziano Portenier, Siavash Arjomand Bigdeli, Orcun Goksel

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deep Image Translation for Enhancing Simulated Ultrasound Images.

Lin Zhang, Tiziano Portenier, Christoph Paulus, Orcun Goksel

Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020

Learning to Take Directions One Step at a Time.

Qiyang Hu, Adrian Wälchli, Tiziano Portenier, Matthias Zwicker, Paolo Favaro

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Deep Learning-based Image Synthesis using Sketching and Example-based Techniques.

Tiziano Portenier

PhD thesis, 2019

Smart, Deep Copy-Paste.

Tiziano Portenier, Qiyang Hu, Paolo Favaro, Matthias Zwicker

CoRR, 2019

2018

Faceshop: deep sketch-based face image editing.

Tiziano Portenier, Qiyang Hu, Attila Szabó, Siavash Arjomand Bigdeli, Paolo Favaro, Matthias Zwicker

ACM Trans. Graph., 2018

Video Synthesis from a Single Image and Motion Stroke.

Qiyang Hu, Adrian Waelchli, Tiziano Portenier, Matthias Zwicker, Paolo Favaro

CoRR, 2018

Fine-Grained Retrieval with Autoencoders.

Tiziano Portenier, Qiyang Hu, Paolo Favaro, Matthias Zwicker

Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

Challenges in Disentangling Independent Factors of Variation.

Attila Szabó, Qiyang Hu, Tiziano Portenier, Matthias Zwicker, Paolo Favaro

Proceedings of the 6th International Conference on Learning Representations, 2018

Specular-to-Diffuse Translation for Multi-view Reconstruction.

Shihao Wu, Hui Huang, Tiziano Portenier, Matan Sela, Daniel Cohen-Or, Ron Kimmel, Matthias Zwicker

Proceedings of the Computer Vision - ECCV 2018, 2018

Understanding Degeneracies and Ambiguities in Attribute Transfer.

Attila Szabó, Qiyang Hu, Tiziano Portenier, Matthias Zwicker, Paolo Favaro

Proceedings of the Computer Vision - ECCV 2018, 2018

Disentangling Factors of Variation by Mixing Them.

Qiyang Hu, Attila Szabó, Tiziano Portenier, Paolo Favaro, Matthias Zwicker

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

SmartSketcher: sketch-based image retrieval with dynamic semantic re-ranking.

Tiziano Portenier, Qiyang Hu, Paolo Favaro, Matthias Zwicker

Proceedings of the 14th International Symposium on Sketch-Based Interfaces and Modeling, 2017