activity
20242026
collaborators

7 papers

cs.CV2026

Spectral Gating via Damped Oscillations for Adaptive Implicit Neural Representations

Alex Costanzino, Pierluigi Zama Ramirez, Giuseppe Lisanti +1

Implicit Neural Representations (INRs) have been proven successful in encoding continuous signals through coordinate-based networks, yet facing a spectral dilemma: periodic activat…

cs.CV2026

Modulate-and-Map: Crossmodal Feature Mapping with Cross-View Modulation for 3D Anomaly Detection

Alex Costanzino, Pierluigi Zama Ramirez, Giuseppe Lisanti +1

We present ModMap, a natively multiview and multimodal framework for 3D anomaly detection and segmentation. Unlike existing methods that process views independently, our method dra…

cs.CV2025

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark

Alex Costanzino, Pierluigi Zama Ramirez, Luigi Lella +4

We propose SiM3D, the first benchmark considering the integration of multiview and multimodal information for comprehensive 3D anomaly detection and segmentation (ADS), where the t…

cs.CV2025

Learning to Be a Transformer to Pinpoint Anomalies

Alex Costanzino, Pierluigi Zama Ramirez, Giuseppe Lisanti +1

To efficiently deploy strong, often pre-trained feature extractors, recent Industrial Anomaly Detection and Segmentation (IADS) methods process low-resolution images, e.g., 224x224…

cs.CV2025

Towards Reliable Identification of Diffusion-based Image Manipulations

Alex Costanzino, Woody Bayliss, Juil Sock +5

Changing facial expressions, gestures, or background details may dramatically alter the meaning conveyed by an image. Notably, recent advances in diffusion models greatly improve t…

cs.CV2025

NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces

Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano +36

This paper reports on the NTIRE 2025 challenge on HR Depth From images of Specular and Transparent surfaces, held in conjunction with the New Trends in Image Restoration and Enhanc…