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20242026
most citedLength-Aware Motion Synthesis via Latent Diffusion

2 citations · 3 across the 14 of their papers we have counts for

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cs.CV2025

MonSTeR: a Unified Model for Motion, Scene, Text Retrieval

Luca Collorone, Matteo Gioia, Massimiliano Pappa +5

Intention drives human movement in complex environments, but such movement can only happen if the surrounding context supports it. Despite the intuitive nature of this mechanism, e…

cs.CV2025

Human Motion Unlearning

Edoardo De Matteis, Matteo Migliarini, Alessio Sampieri +2

We introduce Human Motion Unlearning and motivate it through the concrete task of preventing violent 3D motion synthesis, an important safety requirement given that popular text-to…

cs.CV2025

ANTHROPOS-V: benchmarking the novel task of Crowd Volume Estimation

Luca Collorone, Stefano D'Arrigo, Massimiliano Pappa +3

We introduce the novel task of Crowd Volume Estimation (CVE), defined as the process of estimating the collective body volume of crowds using only RGB images. Besides event managem…

cs.CV2024

Social EgoMesh Estimation

Luca Scofano, Alessio Sampieri, Edoardo De Matteis +2

Accurately estimating the 3D pose of the camera wearer in egocentric video sequences is crucial to modeling human behavior in virtual and augmented reality applications. The task p…

cs.CV2024

TI-PREGO: Chain of Thought and In-Context Learning for Online Mistake Detection in PRocedural EGOcentric Videos

Leonardo Plini, Luca Scofano, Edoardo De Matteis +6

Identifying procedural errors online from egocentric videos is a critical yet challenging task across various domains, including manufacturing, healthcare, and skill-based training…

cs.CV2024

Compositional Entailment Learning for Hyperbolic Vision-Language Models

Avik Pal, Max van Spengler, Guido Maria D'Amely di Melendugno +3

Image-text representation learning forms a cornerstone in vision-language models, where pairs of images and textual descriptions are contrastively aligned in a shared embedding spa…