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20162025
most citedWorking Memory Connections for LSTM

282 citations · 380 across the 44 of their papers we have counts for

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73 papers · 1 filter

cs.CV2025

BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images

Davide Di Nucci, Matteo Tomei, Guido Borghi +3

Accurate 3D reconstruction of vehicles is vital for applications such as vehicle inspection, predictive maintenance, and urban planning. Existing methods like Neural Radiance Field…

cs.CV2025

DitHub: A Modular Framework for Incremental Open-Vocabulary Object Detection

Chiara Cappellino, Gianluca Mancusi, Matteo Mosconi +3

Open-Vocabulary object detectors can generalize to an unrestricted set of categories through simple textual prompting. However, adapting these models to rare classes or reinforcing…

cs.CV2024

Is Multiple Object Tracking a Matter of Specialization?

Gianluca Mancusi, Mattia Bernardi, Aniello Panariello +3

End-to-end transformer-based trackers have achieved remarkable performance on most human-related datasets. However, training these trackers in heterogeneous scenarios poses signifi…

cs.CV2024

KRONC: Keypoint-based Robust Camera Optimization for 3D Car Reconstruction

Davide Di Nucci, Alessandro Simoni, Matteo Tomei +3

The three-dimensional representation of objects or scenes starting from a set of images has been a widely discussed topic for years and has gained additional attention after the di…

cs.CV2024

BRIDGE: Bridging Gaps in Image Captioning Evaluation with Stronger Visual Cues

Sara Sarto, Marcella Cornia, Lorenzo Baraldi +1

Effectively aligning with human judgment when evaluating machine-generated image captions represents a complex yet intriguing challenge. Existing evaluation metrics like CIDEr or C…

cs.CV2024

Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local Similarities

Lorenzo Baraldi, Federico Cocchi, Marcella Cornia +2

Discerning between authentic content and that generated by advanced AI methods has become increasingly challenging. While previous research primarily addresses the detection of fak…