1 citations · 1 across the 9 of their papers we have counts for
9 papers
Influence Functions for Efficient Data Selection in Reasoning
Prateek Humane, Paolo Cudrano, Daniel Z. Kaplan +3
Fine-tuning large language models (LLMs) on chain-of-thought (CoT) data shows that a small amount of high-quality data can outperform massive datasets. Yet, what constitutes "quali…
EETnet: a CNN for Gaze Detection and Tracking for Smart-Eyewear
Andrea Aspesi, Andrea Simpsi, Aaron Tognoli +3
Event-based cameras are becoming a popular solution for efficient, low-power eye tracking. Due to the sparse and asynchronous nature of event data, they require less processing pow…
From Pixels to Graphs: using Scene and Knowledge Graphs for HD-EPIC VQA Challenge
Agnese Taluzzi, Davide Gesualdi, Riccardo Santambrogio +4
This report presents SceneNet and KnowledgeNet, our approaches developed for the HD-EPIC VQA Challenge 2025. SceneNet leverages scene graphs generated with a multi-modal large lang…
High-frequency near-eye ground truth for event-based eye tracking
Andrea Simpsi, Andrea Aspesi, Simone Mentasti +3
Event-based eye tracking is a promising solution for efficient and low-power eye tracking in smart eyewear technologies. However, the novelty of event-based sensors has resulted in…
The Empirical Impact of Forgetting and Transfer in Continual Visual Odometry
Paolo Cudrano, Xiaoyu Luo, Matteo Matteucci
As robotics continues to advance, the need for adaptive and continuously-learning embodied agents increases, particularly in the realm of assistance robotics. Quick adaptability an…
Can Shape-Infused Joint Embeddings Improve Image-Conditioned 3D Diffusion?
Cristian Sbrolli, Paolo Cudrano, Matteo Matteucci
Recent advancements in deep generative models, particularly with the application of CLIP (Contrastive Language Image Pretraining) to Denoising Diffusion Probabilistic Models (DDPMs…
Advancements in Radar Odometry
Matteo Frosi, Mirko Usuelli, Matteo Matteucci
Radar odometry estimation has emerged as a critical technique in the field of autonomous navigation, providing robust and reliable motion estimation under various environmental con…
RadarLCD: Learnable Radar-based Loop Closure Detection Pipeline
Mirko Usuelli, Matteo Frosi, Paolo Cudrano +2
Loop Closure Detection (LCD) is an essential task in robotics and computer vision, serving as a fundamental component for various applications across diverse domains. These applica…
Continual Cross-Dataset Adaptation in Road Surface Classification
Paolo Cudrano, Matteo Bellusci, Giuseppe Macino +1
Accurate road surface classification is crucial for autonomous vehicles (AVs) to optimize driving conditions, enhance safety, and enable advanced road mapping. However, deep learni…