works on

From the 1 of 38 linked papers with an AI index.

activity
20242026
most citedTraining-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization

3 citations · 3 across the 10 of their papers we have counts for

collaborators

38 papers

cs.CV2026

Grounding Free-Form Instructions for Fashion Complementary Image Generation

Matteo Attimonelli, Claudio Pomo, Alessandro De Bellis +3

Fashion complementary image generation (CIG) aims to create garments that stylistically match a seed item based on user intent, making it a natural multimodal grounding problem whe…

cs.MA2026

Who Are You Explaining To? A Multi-Agent System for Audience-Aware XAI Narratives

Francesco Musicco, Danilo Danese, Giuseppe Fasano +3

Feature-attribution methods such as SHAP provide useful evidence about individual model predictions, but their numerical outputs are rarely sufficient for audiences with different…

cs.CV2026

Now You Have My Healthy Attention: A U-DiT for Brain-MRI Inpainting

Danilo Danese, Angela Lombardi, Tommaso Di Noia

The paper presents a U-shaped transformer (U-DiT) model for inpainting healthy brain tissue in T1-weighted MRI scans, using constrained self‑attention and a contralateral‑symmetry…

cs.CV20263 cited

Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization

Potito Aghilar, Vito Walter Anelli, Michelantonio Trizio +2

Diffusion models have recently unlocked new possibilities in editing images of real-world objects. Yet, transforming objects in non-rigid ways, such as modifying poses or applying…

cs.IR2026

Autonomous Information Seeking: A Roadmap for Agentic Recommender Systems

Xinyu Lin, Yashar Deldjoo, Sunhao Dai +7

The rapid integration of large language model-based agents into recommender systems has driven a shift from static, ranking-based pipelines toward autonomous and interactive system…

cs.CL2026

Test-Time Verification for Text-to-SQL via Outcome Reward Models

Mattia Tritto, Giuseppe Farano, Dario Di Palma +4

Improving the reliability of large language models (LLMs) at inference time is a central challenge in structured reasoning tasks such as Text-to-SQL. Common test-time inference str…