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From the 1 of 2.3k papers with an AI index.

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19932026
most citedQuantum ESPRESSO: a modular and open-source software project for quantum simulations of materials

29.3k citations

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cs.CV2026

Beyond MACs: Hardware Efficient Architecture Design for Vision Backbones

Moritz Nottebaum, Matteo Dunnhofer, Christian Micheloni

Vision backbone networks play a central role in modern computer vision. Enhancing their efficiency directly benefits a wide range of downstream applications. To measure efficiency,…

cs.CV2025★ 4 cited

ICDAR 2025 Competition on FEw-Shot Text line segmentation of ancient handwritten documents (FEST)

Silvia Zottin, Axel De Nardin, Giuseppe Branca +2

Text line segmentation is a critical step in handwritten document image analysis. Segmenting text lines in historical handwritten documents, however, presents unique challenges due…

cs.CV2025

Is Tracking really more challenging in First Person Egocentric Vision?

Matteo Dunnhofer, Zaira Manigrasso, Christian Micheloni

Visual object tracking and segmentation are becoming fundamental tasks for understanding human activities in egocentric vision. Recent research has benchmarked state-of-the-art met…

cs.CV2024★ 1 cited

Online Episodic Memory Visual Query Localization with Egocentric Streaming Object Memory

Zaira Manigrasso, Matteo Dunnhofer, Antonino Furnari +6

Episodic memory retrieval enables wearable cameras to recall objects or events previously observed in video. However, existing formulations assume an "offline" setting with full vi…

cs.CV2024★ 23 cited

U-DIADS-Bib: a full and few-shot pixel-precise dataset for document layout analysis of ancient manuscripts

Silvia Zottin, Axel De Nardin, Emanuela Colombi +3

Document Layout Analysis, which is the task of identifying different semantic regions inside of a document page, is a subject of great interest for both computer scientists and hum…

cs.CV2023★ 9 cited

Tracking Skiers from the Top to the Bottom

Matteo Dunnhofer, Luca Sordi, Niki Martinel +1

Skiing is a popular winter sport discipline with a long history of competitive events. In this domain, computer vision has the potential to enhance the understanding of athletes' p…