3 papers
cs.CV2026
Prompting Diffusion Models for Zero-Shot Instance Segmentation
Irem Zeynep Alagöz, Nils Morbitzer, Andrea Ramazzina +3
Several disruptive research directions have recently emerged in computer vision, including foundation models achieving previously unseen zero-shot performance in scene understandin…
cs.CV2025
LSD-3D: Large-Scale 3D Driving Scene Generation with Geometry Grounding
Julian Ost, Andrea Ramazzina, Amogh Joshi +3
Large-scale scene data is essential for training and testing in robot learning. Neural reconstruction methods have promised the capability of reconstructing large physically-ground…
cs.CV2025
Beyond Domain Randomization: Event-Inspired Perception for Visually Robust Adversarial Imitation from Videos
Andrea Ramazzina, Vittorio Giammarino, Matteo El-Hariry +1
Imitation from videos often fails when expert demonstrations and learner environments exhibit domain shifts, such as discrepancies in lighting, color, or texture. While visual rand…