7 citations · 7 across the 17 of their papers we have counts for
8 papers · 1 filter
RankAlign: Vision-Language Representation Alignment via Rank Transformation
Enzhe Zhao, Marco Fiorucci, Lamberto Ballan
While the Platonic Representation Hypothesis posits that vision and language models converge toward compatible latent geometries, recovering class-level correspondences between unp…
XiDepth: a Lightweight and Efficient Network for Self-supervised Monocular Depth Estimation
Elena Izzo, Riccardo Toniolo, Lamberto Ballan
Self-supervised monocular depth estimation has emerged as an appealing solution to design lightweight and effective models for deployment on computationally constrained devices due…
IMPRINT: Image-Conditioned Query Enrichment for Long-Tail Object Goal Navigation
Jelin Raphael Akkara, Filippo Ziliotto, Luciano Serafini +2
Embodied AI increasingly relies on queryable semantic maps built from pre-trained vision-language models to enable zero-shot Object Goal Navigation (ObjectNav). However, existing a…
What VGGT Knows About Overlap: Probing Geometric Foundation Models for Co-Visibility
Filippo Ziliotto, Luciano Serafini, Lamberto Ballan +1
A fundamental challenge in 3D reconstruction and robotic localization is co-visibility: determining which image pairs share overlapping visible surfaces, particularly in scenarios…
You Only Landmark Once: Lightweight U-Net Face Super Resolution with YOLO-World Landmark Heatmaps
Riccardo Carraro, Anna Briotto, Endi Hysa +2
Face image super-resolution aims to recover high-resolution facial images from severely degraded inputs. Under extreme upscaling factors, fine facial details are often lost, making…
Contrastive Learning under Noisy Temporal Self-Supervision for Colonoscopy Videos
Luca Parolari, Pietro Gori, Lamberto Ballan +2
Learning robust representations of polyp tracklets is key to enabling multiple AI-assisted colonoscopy applications, from polyp characterization to automated reporting and retrieva…
Benchmarking Layout-Guided Diffusion Models through Unified Semantic-Spatial Evaluation in Closed and Open Settings
Luca Parolari, Nicla Faccioli, Lamberto Ballan
Evaluating layout-guided text-to-image generative models requires assessing both semantic alignment with textual prompts and spatial fidelity to prescribed layouts. Assessing layou…
Multiview Progress Prediction of Robot Activities
Elena Zoppellari, Federico Becattini, Marco Fiorucci +1
For robots to operate effectively and safely alongside humans, they must be able to understand the progress of ongoing actions. This ability, known as action progress prediction, i…