Opportunities
I am always looking for curious and motivated students who want to work on Computer Vision and Deep Learning. If you like the topics on my Publications page, get in touch!
Studenti di Ca' Foscari
Se sei uno studente di Ca’ Foscari e cerchi una tesi o un tirocinio, scrivimi pure anche in italiano.
Example topics
The list below is indicative: topics evolve with ongoing projects, and I am happy to discuss your own ideas.
- Neural fields and Gaussian Splatting meet language models: understanding, retrieving and describing 3D scenes directly from their neural representations.
- Very high-resolution images: semantic segmentation of very high-resolution images, compression and super-resolution of gigapixel images.
- 3D and multimodal anomaly detection for industrial quality control.
- Depth estimation for challenging scenes, such as transparent and reflective objects.
- Implicit neural representations: new architectures and activations for representing signals.
- Learning with limited labels: domain adaptation, self-supervised learning and synthetic data.
How to apply
Send an email to pier.zamaramirez@unive.it with:
- your CV and the list of exams with grades;
- a few lines on which topics interest you and why;
- your expected period and availability (e.g., months, part-time or full-time).
Familiarity with Python is required; experience with PyTorch and a background in machine learning or computer vision are a plus, but not mandatory.