SmartSketcher: sketch-based image retrieval with dynamic semantic re-ranking. - Tiziano Portenier; Qiyang Hu; Paolo Favaro; Matthias Zwicker (SBIM@Expressive, 2017)

Disentangling Factors of Variation by Mixing Them. - Qiyang Hu; Attila Szabó; Tiziano Portenier; Paolo Favaro; Matthias Zwicker (CVPR, 2018)

Understanding Degeneracies and Ambiguities in Attribute Transfer. - Attila Szabó; Qiyang Hu; Tiziano Portenier; Matthias Zwicker; Paolo Favaro (ECCV (5), 2018)

Specular-to-Diffuse Translation for Multi-view Reconstruction. - Shihao Wu; Hui Huang 004; Tiziano Portenier; Matan Sela; Daniel Cohen-Or; Ron Kimmel; Matthias Zwicker (ECCV (4), 2018)

Challenges in Disentangling Independent Factors of Variation. - Attila Szabó; Qiyang Hu; Tiziano Portenier; Matthias Zwicker; Paolo Favaro (ICLR (Workshop), 2018)

Fine-Grained Retrieval with Autoencoders. - Tiziano Portenier; Qiyang Hu; Paolo Favaro; Matthias Zwicker (VISIGRAPP (5: VISAPP), 2018)

Video Synthesis from a Single Image and Motion Stroke. - Qiyang Hu; Adrian Waelchli; Tiziano Portenier; Matthias Zwicker; Paolo Favaro (CoRR, 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)

Smart, Deep Copy-Paste. - Tiziano Portenier; Qiyang Hu; Paolo Favaro; Matthias Zwicker (CoRR, 2019)

Deep Learning-based Image Synthesis using Sketching and Example-based Techniques. - Tiziano Portenier (2019)

Learning to Take Directions One Step at a Time. - Qiyang Hu; Adrian Wälchli; Tiziano Portenier; Matthias Zwicker; Paolo Favaro (ICPR, 2020)

Deep Image Translation for Enhancing Simulated Ultrasound Images. - Lin Zhang 031; Tiziano Portenier; Christoph Paulus; Orcun Goksel (ASMUS/PIPPI@MICCAI, 2020)

GramGAN: Deep 3D Texture Synthesis From 2D Exemplars. - Tiziano Portenier; Siavash Arjomand Bigdeli; Orcun Goksel (NeurIPS, 2020)

Utilizing Uncertainty Estimation in Deep Learning Segmentation of Fluorescence Microscopy Images with Missing Markers. - Alvaro Gomariz 001; Raphael Egli; Tiziano Portenier; César Nombela-Arrieta; Orcun Goksel (ISBI, 2021)

Content-Preserving Unpaired Translation from Simulated to Realistic Ultrasound Images. - Devavrat Tomar; Lin Zhang 031; Tiziano Portenier; Orcun Goksel (MICCAI (8), 2021)

Learning ultrasound rendering from cross-sectional model slices for simulated training. - Lin Zhang 031; Tiziano Portenier; Orcun Goksel (Int. J. Comput. Assist. Radiol. Surg., 2021)

Probabilistic Spatial Analysis in Quantitative Microscopy with Uncertainty-Aware Cell Detection using Deep Bayesian Regression of Density Maps. - Alvaro Gomariz 001; Tiziano Portenier; César Nombela-Arrieta; Orcun Goksel (CoRR, 2021)

Match What Matters: Generative Implicit Feature Replay for Continual Learning. - Kevin Thandiackal; Tiziano Portenier; Andrea Giovannini; Maria Gabrani; Orcun Goksel (CoRR, 2021)

Modality attention and sampling enables deep learning with heterogeneous marker combinations in fluorescence microscopy. - Alvaro Gomariz 001; Tiziano Portenier; Patrick M. Helbling; Stephan Isringhausen; Ute Suessbier; César Nombela-Arrieta; Orcun Goksel (Nat. Mach. Intell., 2021)

Unpaired Translation from Semantic Label Maps to Images by Leveraging Domain-Specific Simulations. - Lin Zhang 031; Tiziano Portenier; Orcun Goksel (CoRR, 2023)

Generative feature-driven image replay for continual learning. - Kevin Thandiackal; Tiziano Portenier; Andrea Giovannini; Maria Gabrani; Orcun Goksel (Image Vis. Comput., 2024)

Learning Generative Models Using Denoising Density Estimators. - Siavash Arjomand Bigdeli; Geng Lin; L. Andrea Dunbar; Tiziano Portenier; Matthias Zwicker (IEEE Trans. Neural Networks Learn. Syst., 2024)