Author

M. Pagnucco

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Open access Aug 2026

P-PatchDiff: Progressive Patch Diffusion Models for Low-Light Image Enhancement

Recent advancements in low-light image enhancement have leveraged diffusion models for their strong ability to generate perceptually realistic, detailed images. Patch diffusion models further offer a promising solution to size-agnostic image restoration while improving efficiency. However, existing methods typically re...

Ruo-Yu Guo, Haonan Zhong, M. Pagnucco et al. · International Journal of Com... · 0 citations

#machine learning Preprint Sep 2026

Identifying Temporal Features within Transcoders for Time Sensitive Factual Recall

Large Language Models (LLMs) suffer from temporal misalignment, often due to the contradictory nature of their training corpora. While current mitigation strategies rely on computationally expensive fine-tuning or context-heavy retrieval augmented generation (RAG), the internal mechanisms governing time-sensitive recal...

Sanjay Govindan, Yang Song, M. Pagnucco · 0 citations

Preprint Sep 2026

Hierarchical Prompt Injector for Domain Generalization Segmentation

Considering the difficulty of learning spatially and semantically aware prompt injection, the Hierarchical Prompt Injector is proposed, which enables spatially adaptive prompt injection in foundation models and auxiliary supervision to align hierarchical prompts with their corresponding object regions is introduced.

Xin Lin, Ruo-Yu Guo, Jia-Qi Guo et al. · 0 citations