Tiziano Portenier

33 papers A* 2B 1Journal 21Unranked 8
YearRankTypeTitle / Venue / Authors
2024 J jnl
Generative feature-driven image replay for continual learning.
Image Vis. Comput.
Kevin Thandiackal, Tiziano Portenier, Andrea Giovannini, Maria Gabrani, Orcun Goksel
2024 J jnl
Learning Generative Models Using Denoising Density Estimators.
IEEE Trans. Neural Networks Learn. Syst.
Siavash Arjomand Bigdeli, Geng Lin, L. Andrea Dunbar, Tiziano Portenier, Matthias Zwicker
2023 J jnl
Unpaired Translation from Semantic Label Maps to Images by Leveraging Domain-Specific Simulations.
CoRR
Lin Zhang, Tiziano Portenier, Orcun Goksel
2021 — conf
Content-Preserving Unpaired Translation from Simulated to Realistic Ultrasound Images.
MICCAI (8)
Devavrat Tomar, Lin Zhang, Tiziano Portenier, Orcun Goksel
2021 J jnl
Content-Preserving Unpaired Translation from Simulated to Realistic Ultrasound Images.
CoRR
Devavrat Tomar, Lin Zhang, Tiziano Portenier, Orcun Goksel
2021 J jnl
Learning Ultrasound Rendering from Cross-Sectional Model Slices for Simulated Training.
CoRR
Lin Zhang, Tiziano Portenier, Orcun Goksel
2021 J jnl
Learning ultrasound rendering from cross-sectional model slices for simulated training.
Int. J. Comput. Assist. Radiol. Surg.
Lin Zhang, Tiziano Portenier, Orcun Goksel
2021 J jnl
Match What Matters: Generative Implicit Feature Replay for Continual Learning.
CoRR
Kevin Thandiackal, Tiziano Portenier, Andrea Giovannini, Maria Gabrani, Orcun Goksel
2021 J jnl
Modality attention and sampling enables deep learning with heterogeneous marker combinations in fluorescence microscopy.
Nat. Mach. Intell.
Alvaro Gomariz, Tiziano Portenier, Patrick M. Helbling, Stephan Isringhausen, Ute Suessbier, César Nombela-Arrieta, Orcun Goksel
2021 J jnl
Probabilistic Spatial Analysis in Quantitative Microscopy with Uncertainty-Aware Cell Detection using Deep Bayesian Regression of Density Maps.
CoRR
Alvaro Gomariz, Tiziano Portenier, César Nombela-Arrieta, Orcun Goksel
2021 — conf
Utilizing Uncertainty Estimation in Deep Learning Segmentation of Fluorescence Microscopy Images with Missing Markers.
ISBI
Alvaro Gomariz, Raphael Egli, Tiziano Portenier, César Nombela-Arrieta, Orcun Goksel
2021 J jnl
Utilizing Uncertainty Estimation in Deep Learning Segmentation of Fluorescence Microscopy Images with Missing Markers.
CoRR
Alvaro Gomariz, Raphael Egli, Tiziano Portenier, César Nombela-Arrieta, Orcun Goksel
2020 — conf
Deep Image Translation for Enhancing Simulated Ultrasound Images.
ASMUS/PIPPI@MICCAI
Lin Zhang, Tiziano Portenier, Christoph Paulus, Orcun Goksel
2020 J jnl
Deep Image Translation for Enhancing Simulated Ultrasound Images.
CoRR
Lin Zhang, Tiziano Portenier, Christoph Paulus, Orcun Goksel
2020 A* conf
GramGAN: Deep 3D Texture Synthesis From 2D Exemplars.
NeurIPS
Tiziano Portenier, Siavash Arjomand Bigdeli, Orcun Goksel
2020 J jnl
GramGAN: Deep 3D Texture Synthesis From 2D Exemplars.
CoRR
Tiziano Portenier, Siavash Arjomand Bigdeli, Orcun Goksel
2020 J jnl
Learning Generative Models using Denoising Density Estimators.
CoRR
Siavash Arjomand Bigdeli, Geng Lin, Tiziano Portenier, L. Andrea Dunbar, Matthias Zwicker
2020 B conf
Learning to Take Directions One Step at a Time.
ICPR
Qiyang Hu, Adrian Wälchli, Tiziano Portenier, Matthias Zwicker, Paolo Favaro
2020 J jnl
Modality Attention and Sampling Enables Deep Learning with Heterogeneous Marker Combinations in Fluorescence Microscopy.
CoRR
Alvaro Gomariz, Tiziano Portenier, Patrick M. Helbling, Stephan Isringhausen, Ute Suessbier, César Nombela-Arrieta, Orçun Göksel
2019 — —
Deep Learning-based Image Synthesis using Sketching and Example-based Techniques.
Tiziano Portenier
2019 J jnl
Smart, Deep Copy-Paste.
CoRR
Tiziano Portenier, Qiyang Hu, Paolo Favaro, Matthias Zwicker
2018 — conf
Challenges in Disentangling Independent Factors of Variation.
ICLR (Workshop)
Attila Szabó, Qiyang Hu, Tiziano Portenier, Matthias Zwicker, Paolo Favaro
2018 A* conf
Disentangling Factors of Variation by Mixing Them.
CVPR
Qiyang Hu, Attila Szabó, Tiziano Portenier, Paolo Favaro, Matthias Zwicker
2018 J jnl
FaceShop: Deep Sketch-based Face Image Editing.
CoRR
Tiziano Portenier, Qiyang Hu, Attila Szabó, Siavash Arjomand Bigdeli, Paolo Favaro, Matthias Zwicker
2018 J jnl
Faceshop: deep sketch-based face image editing.
ACM Trans. Graph.
Tiziano Portenier, Qiyang Hu, Attila Szabó, Siavash Arjomand Bigdeli, Paolo Favaro, Matthias Zwicker
2018 — conf
Fine-Grained Retrieval with Autoencoders.
VISIGRAPP (5: VISAPP)
Tiziano Portenier, Qiyang Hu, Paolo Favaro, Matthias Zwicker
2018 J jnl
Specular-to-Diffuse Translation for Multi-View Reconstruction.
CoRR
Shihao Wu, Hui Huang, Tiziano Portenier, Matan Sela, Daniel Cohen-Or, Ron Kimmel, Matthias Zwicker
2018 — conf
Specular-to-Diffuse Translation for Multi-view Reconstruction.
ECCV (4)
Shihao Wu, Hui Huang, Tiziano Portenier, Matan Sela, Daniel Cohen-Or, Ron Kimmel, Matthias Zwicker
2018 — conf
Understanding Degeneracies and Ambiguities in Attribute Transfer.
ECCV (5)
Attila Szabó, Qiyang Hu, Tiziano Portenier, Matthias Zwicker, Paolo Favaro
2018 J jnl
Video Synthesis from a Single Image and Motion Stroke.
CoRR
Qiyang Hu, Adrian Waelchli, Tiziano Portenier, Matthias Zwicker, Paolo Favaro
2017 J jnl
Challenges in Disentangling Independent Factors of Variation.
CoRR
Attila Szabó, Qiyang Hu, Tiziano Portenier, Matthias Zwicker, Paolo Favaro
2017 J jnl
Disentangling Factors of Variation by Mixing Them.
CoRR
Qiyang Hu, Attila Szabó, Tiziano Portenier, Matthias Zwicker, Paolo Favaro
2017 — conf
SmartSketcher: sketch-based image retrieval with dynamic semantic re-ranking.
SBIM@Expressive
Tiziano Portenier, Qiyang Hu, Paolo Favaro, Matthias Zwicker